CoE IoT Official Blog

In an age where innovation cycles are shortening and technology is redefining business at lightning speed; traditional startup incubation models are being stretched to their limits. The startup world no longer revolves around shared office space and a few months of mentorship. Today, the next generation of entrepreneurs needs smarter, faster, and more inclusive support systems. The incubation landscape is undergoing a powerful transformation driven by digital-first models, AI-powered insights, vertical specialization, and an unwavering focus on global accessibility and meaningful impact.

Incubators play an instrumental role in nurturing startups and creating a vibrant ecosystem. But as the ecosystem evolves, incubators also need to reinvent themselves to stay relevant. Against a burgeoning startup ecosystem in India, this article deliberates on the future of incubation, it reflects on what services incubators should offer, how they should measure their impact and how they can become financially sustainable.

Once confined to university basements or corporate tech parks, incubators have broken free of geographic limitations. Virtual incubation is now a dominant force, offering mentorship, funding, and training through global platforms. These digital ecosystems allow startups from tier-2 cities or underrepresented regions to access the same quality of support as those in Silicon Valley or Bengaluru.

• As per the Startup India portal, over 100 incubators in India now offer hybrid or fully online programs, expanding their reach to Tier 2 and Tier 3 cities. We need to offer more and more virtual incubation to the very remote areas, enabling startups to build their dream.
• India saw a 35% increase in incubator activity in smaller cities between 2020–2023, driven by virtual models.

Platforms like iDEX (Innovations for Defence Excellence) and MeitY Startup Hub are fostering national-level innovation, enabling startups from any part of India to participate in government-supported incubators remotely.

Indian incubators are increasingly integrating into global innovation networks.

For instance, Startup India and Nasscom have launched cross-border programs with Southeast Asia, Europe, and the US. Initiatives like Indo-US Science and Technology Forum (IUSSTF) promote joint incubation, research, and commercialization efforts.

Artificial Intelligence is making incubation smarter. Imagine a platform that analyzes your pitch, identifies gaps in your go-to-market strategy, and connects you with the right investor, all in real time. AI-powered analytics are enabling incubators to provide personalized roadmaps for each startup, predict success rates, and even flag early signs of burnout in founders.

These insights are transforming how mentors guide, how investors decide, and how startups pivot. Incubators are fast becoming intelligence engines, not just support centers. AI is transforming startup ecosystems with efficiency, insight, and inclusivity

• Smarter Evaluation: AI analyzes factors like funding patterns, traction signals, and team backgrounds to support quicker and more informed decisions by incubators and investors.
• Predictive Insights: Advanced models can assess the likelihood of success or risk with high accuracy, enabling early intervention and strategic support.
• Real-Time Awareness: Startups use AI to monitor competitors, market trends, and industry shifts, significantly reducing time spent on manual research.
• Personalized Support: Incubation programs increasingly rely on AI to match startups with mentors, funding, and growth resources tailored to their specific journey.
• Inclusive Access: AI is helping to level the playing field by identifying promising founders and ventures beyond traditional urban and network boundaries.

The Web3 revolution is ushering in decentralized incubation models. DAOs (Decentralized Autonomous Organizations) are now investing in early-stage ideas, with token-based incentives aligning communities with innovation. These models enable niche innovations in climate, gaming, or open-source software to flourish without the need for centralized validation or traditional equity structures.

This new age of decentralized support empowers startups with autonomy, transparency, and faster access to capital, especially in emerging sectors.

Generic incubation is giving way to specialized, domain-specific accelerators. Whether it’s HealthTech, ClimateTech, AgriTech, or SpaceTech, vertical-focused incubators are building tailor-made playbooks, expert networks, and regulatory knowledge bases. Startups benefit from targeted mentorship, market access, and deep industry insight.

This shift is driving better outcomes by aligning incubation with the complex, real-world challenges these sectors aim to solve.

The future of incubation lies at the intersection of academia, government, and corporate ecosystems. Public-private-academic partnerships are supercharging innovation offering everything from R&D labs and grants to policy advocacy and global go-to-market channels. India’s Atal Innovation Mission and the U.S. National Science Foundation’s I-Corps program are great examples of this collaborative model in action.

• Encourage universities to align research with industry needs.
• Set up on-campus incubators and innovation hubs.
• Facilitate industry-sponsored research and real-world problem solving.

• Offer policy incentives, grants, and tax breaks for collaborative projects.
• Promote public-private partnerships (PPPs) for innovation-led growth.
• Strengthen programs like Startup India and Atal Innovation Mission under the Triple Helix framework.

Create multi-stakeholder innovation zones in priority sectors (e.g. agri-tech, healthtech, clean energy). Example: Smart City Innovation Centers co-developed by academia, government, and industry.

• Promote industry-academia internship programs, collaborative courses, and skill-based certifications.
• Enable government-backed initiatives for reskilling in emerging technologies (AI, blockchain, green tech).

• Co-create R&D funds supported by industry and government.
• Universities contribute research expertise and IP.
• Establish venture capital pools for Triple Helix-based startups and innovations.

Burnout, anxiety, and founder fatigue should be recognized as significant challenges. Next-gen incubators should integrate psychological support, coaching, and emotional intelligence training into their programs. Building resilient founders should be as much of a priority as building resilient business models. This human-first approach should ensure that innovation does not come at the cost of well-being.

In this new era, success is being measured beyond funding rounds and valuations. Impact-driven incubation — aligned with ESG goals and UN SDGs — is on the rise. Incubators are now asking: Is this startup creating a positive impact? Is it sustainable? Is it inclusive? Startups that prioritize purpose alongside profit are being fast-tracked and celebrated.

The future of startup incubation is not a place, it’s a network. It’s data-driven, borderless, empathetic, and inclusive. To stay ahead, stakeholders must evolve:

• Governments must foster digital-first innovation hubs and enable policy flexibility.
• Corporates should open their R&D and market channels to incubated startups.
• Academia needs to bridge research with real-world application.
• Investors must support long-term, impact-focused innovation journeys.

India’s strength lies in its scale, diversity, and digital prowess. The shift from traditional hubs to nationwide, tech-enabled ecosystems is enabling inclusive innovation and unlocking the potential of entrepreneurs from every corner of the country. This shift is not just about convenience; it’s about inclusion. By removing location-based barriers, the new generation of incubators is democratizing entrepreneurship at scale. The next decade belongs to those who don’t just build startups but reimagine how we support them.

It begins with silence. A doctor thinking. A patient waiting. And time ticking….

For most of us, the journey through healthcare is filled with questions like what’s wrong? How bad is it? What happens next?
But what if technology could offer answers before you even asked the questions?

We’re not talking about robots replacing doctors. We’re talking about artificial intelligence becoming the silent partner in helping clinicians diagnose faster, detect risks earlier, and personalize care like never before.

In this blog, we’re diving into real-world use cases of AI in healthcare and more importantly, we’re shining a light on three innovators backed by MeitY nasscom CoE, who are using AI to create tangible impact for patients and providers alike.

Artificial intelligence is like having a second pair of eyes which is constantly alert, meticulous, and capable of processing data at a rate that surpasses that of a human being. Instead of replacing doctors and medical expertise AI is all about giving them a smarter assistant. It makes their jobs easier by helping them to make quicker and more accurate decisions.

Let’s explore some advanced AI applications used in healthcare sector:

• Early Disease Detection: AI can process massive datasets like genetic information, environmental factors, and lifestyle choices and by using machine learning algorithm, we can predict diseases before they manifest.
• AI-Driven Radiology: In medical imaging, deep learning algorithms are taking the stage by using Convolutional Neural Networks (CNNs). It is a type of deep learning model that able to analyze radiology scans with a level of detail and accuracy that outpaces human radiologists.
• Clinical Documentation with AI & NLP: By using Natural Language Processing (NLP) with AI health practitioners can automatically transcribe doctor-patient conversations, interpret medical notes, and even extract insights from unstructured data in medical records for clinical documentation.
• AI in Drug Discovery: Researchers can test thousands of potential drugs virtually in a matter of hours by training AI systems on millions of chemical compounds to predict which molecules are most likely to become effective treatments for diseases.
• Virtual Health Coaches: AI systems combine behavioural science, real-time monitoring, and data analytics to create a fully personalized health management plan for individuals which continuously monitors of health metrics like heart rate, physical activity, and sleep patterns. This can help people to adjust their lifestyle, make data-driven decisions, and even prevent chronic conditions.

Behind every technological breakthrough is a team of changemakers, dreamers, doers, and builders working at the intersection of healthcare and deep tech. At MeitY nasscom Centre of Excellence, we work closely with startups that are not just exploring AI, they’re using it to solve real challenges faced by patients and clinicians every day.

Here are the innovators truly transforming healthcare with solutions that listen, learn, and lead to better outcomes that are faster, smarter, and more human.

A fall may last just a second, but its impact can change an elderly person’s life forever. For many, hip fractures are the beginning of immobility, hospital visits, and a loss of independence.

That’s the challenge Ripple Healthcare, set out to solve.

Rooted in the belief that every fall-related hip fracture is preventable, this solution is reimagining elder care through smart, wearable technology that blends safety with dignity.

At the heart of their innovation is a smart hip belt equipped with a pre-deploying airbag system. Using a blend of motion sensors, AI-driven fall detection algorithms, and microsecond response mechanisms, the belt senses an imminent fall and inflates before impact by cushioning the hip and drastically reducing the risk of fracture.

But what truly sets Ripple apart? Their two flagship products that are designed keeping in mind the comfort, mobility, and safety.

• The Elderly Guardian Smartbelt (Hip Pro): A sleek, intelligent belt that prioritizes both protection and comfort giving elders the freedom to move without fear.
• Steady Steps: Designed for everyday confidence, this product supports stability while encouraging active movement, ensuring safety never comes at the cost of living fully.

We all know how long and unpredictable the journey to new drugs can be, sometimes it feels like it takes forever just to get to the starting line. But what if the whole process could be sped up, made more accurate, and less costly? That’s where Growdea Technologies comes in.

Rather than relying on traditional trial-and-error methods, Growdea is blending AI, machine learning, and computational modelling in drug discovery. They’re using data and advanced algorithms to make the whole process more efficient, reliable, and most importantly FASTER. They don’t just stop at theoretical models, they’re helping to predict things like drug efficacy, toxicity, and clinical trial outcomes before any real-world testing begins. From in-silico vaccine development to antibody engineering, they’re offering actionable insights at every stage of the drug development pipeline.

Their technology is about making science smarter. By combining AI, molecular modelling, and machine learning, they’re able to predict protein-ligand interactions, simulate molecular docking, and analyse biomarker discovery all while speeding up timelines and reducing risks.

What if your breath could give you a peek into how your body is really doing? That’s exactly what Respyr does. By analyzing the volatile organic compounds (VOCs) in your breath, it reveals key health markers from blood sugar levels and gut health to liver function, oxidative stress, and overall metabolic balance.

What makes Respyr truly stand out is its ability to continuously track these health indicators in real-time with no needles, no invasive tests. Just breathing.

Using advanced sensor technology, Respyr device captures the VOCs you exhale and processes them into actionable insights and by using the help of machine learning and cutting-edge algorithms, it offers personalized health advice based on your unique metabolic profile. This means you can track how your daily choices like what you eat, how much you exercise, and how well you sleep which are actually impacting your health.

As these innovators work towards redefining healthcare by using deep technology, proving that AI is a powerful tool transforming diagnosis, treatment, and prevention. We need to remember the beauty of AI lies not just in the algorithms and technology, but in how it works alongside human expertise. AI can process vast amounts of data, but it’s the human insight, intuition, and empathy that drive these innovations.

At MeitY nasscom CoE, we stand as a catalyst to empower innovators by nurturing technology, offering strategic guidance, and providing continuous support. Our mission is clear: to bring deep tech solutions to life and create real-world impact.

We have come a long way in advancement of the Manufacturing industry. From manual labour to machines that run themselves, Industry 4.0 is the latest leap forward. It is where digital technologies like Artificial Intelligence are making factories smarter and more efficient.

But how did we get here? This blog highlight what is Industry 4.0, role of AI and the next wave of technological evolution.

The manufacturing industry was facing several key challenges like Demand for Efficiency, Data Explosion, Supply Chain Complexity, Customer Expectations etc. To overcome these challenges the manufacturing industry took a shift industry 3.0 to 4.0.

The fourth industrial revolution aims to create more intelligent and efficient production networks through integration of digital technology. They are intelligent factories that can incorporate the integration of machines and systems with humans to monitor, analyze, predict and resolve problems in real time. The goal is to build smart factories where machines, systems, and people can communicate with each other freely.

AI-driven automation, predictive analytics, and IoT-enabled smart factories to have enhanced productivity, but full-scale adoption remains a challenge.

Companies integrating AI for predictive maintenance, real-time quality control, and autonomous decision-making are seeing tangible benefits. However, challenges such as data silos, cybersecurity risks, and workforce adaptation still hinder seamless implementation.

Key Takeaway: The next phase isn’t just about adopting AI—it’s about optimizing AI and IoT systems to work in harmony across enterprise ecosystems. Future advancements will focus on AI self-learning models and adaptive automation.

While AI has improved efficiency, quantum computing is set to redefine computational power in manufacturing, logistics, and supply chains.

Quantum computing will enable:

• Ultra-fast problem-solving for complex simulations and optimizations.
• Enhanced AI models that can process vast datasets in real-time.
• Revolutionary material science innovations by simulating new compounds and manufacturing techniques.
• Edge AI, on the other hand, will enable real-time decision-making at the source, reducing latency and enhancing security.

Key Takeaway: AI combined with quantum computing and Edge AI will drive the next revolution in manufacturing, enabling hyper-intelligent, real-time automation beyond centralized cloud models.

AI may dominate automation, but Web3 and blockchain are shaping the future of data ownership and security.

Future Industry 4.0 ecosystems will leverage:

• Blockchain-powered supply chains for transparency and trust.
• Decentralized manufacturing models that allow global collaboration.
• Smart contracts for automated, secure transactions across industries.

Key Takeaway: The next industrial evolution will move toward decentralized, autonomous ecosystems, where AI, IoT, and blockchain seamlessly interact.

The journey doesn’t end here. Industry 4.0 is evolving towards Industry 5.0, where human collaboration with intelligent machines takes center stage. This shift emphasizes on:

• Hyper-personalized production with AI-driven customization at scale.
• Sustainable and regenerative manufacturing using AI & bioengineering.
• AI-Augmented workforce where AI enhances, rather than replaces, human skills.

As we move towards Industry 5.0, companies must continue to innovate and adopt smarter solutions to thrive in the future.

Supply chain and logistics are the backbone of global trade but as the demand is growing the disruptions in the industry is becoming more frequent. Result? Traditional logistics systems are struggling like delays, inefficiencies, and a lack of real-time visibility create bottlenecks that impact businesses and consumers alike.

Here is where emerging technologies like Artificial intelligence (AI), Internet of Things (IoT), Smart sensors, GPS tracking, RFID tags etc are helping businesses to resolve the challenges. Together, these innovations improving efficiency and reshaping supply chains to be faster, smarter, and more resilient. Here blog highlight the top challenges Supply Chain Management Industry is facing and the tech driven startups incubated and supported by MeitY nasscom CoE resolving these challenges.

Lack of transparency is something supply chain industry faces the different stages of the process. Delays, misplaced shipments, and inventory shortages often go unnoticed until it’s too late.

Currently most of the warehouses rely on manual processes which leading to errors, delays, and inefficiencies in inventory management. Picking, sorting, and restocking can become bottlenecks, slowing down the entire supply chain.

Inaccurate demand forecasting predications leads to two major nightmares. Overstocking and understocking. Which causes major operation challenge – one leading to tying up capital and the other one causing missed sales opportunities.

Involvement of multiple stakeholders can sometimes make them vulnerable to fraud, counterfeiting, and data breaches as there is no proper accountability mapping. This results to challenges like lack authenticity of goods, compliance with regulations and frauds.

Transportation expenses is something that can affecting overall supply chain profitability and working. The uncertain fuel costs changes, inefficient route planning and unexpected delays are the major challenges the SCM industry faces.

The Indian supply chain management ecosystem is undergoing a major shift by addressing the above challenges with cutting edge solutions. Leading this transformation are these brilliant minds that are leveraging deep-tech technology to solve industry bottlenecks, enhance efficiency, and build resilient logistics networks.

Meet these pioneering supply chain management solutions supported by MeitY nasscom CoE to drive innovation and impact:

Incubated at MeitY nasscom CoE, Syook is redefining how businesses track and manage their operations with its no-code Real-Time Location System platform.Designed to bring clarity and efficiency to supply chains, Syook’s InSite platform offers a comprehensive, data-driven approach to operations management, ensuring real-time visibility, safety, and compliance.

At its core, Syook’s technology leverages BLE anchor-gateways to capture precise location data and seamlessly stream it to InSite servers. This allows businesses to visualize assets and personnel on a digital map, optimize workflows, and make informed decisions.

Beyond tracking, Syook provides a flexible marketplace for businesses to develop customized IIoT and RTLS solutions, adapting to different industry needs. With an ecosystem of reliable tags, gateways, and sensors, the platform integrates seamlessly into existing operations, helping organizations streamline processes and enhance overall efficiency.

As supply chains grow more complex facing multiple challenges, intelligent and real-time logistics management solution is a need of the hour. Roadcast, a deep-tech startup supported by MeitY nasscom CoE, is addressing this challenge with its AI-powered digital logistics platform, designed for seamless fleet and asset tracking. It integrates EV solutions, fuel monitoring, video telematics, and automation tools to enhance mobility management across industries.

Roadcast technology solution enables businesses to track vehicle and asset locations in real time, which leads to optimized fleet performance, resulting in improved decision-making with data-driven insights. By combining automation and sustainability, Roadcast is helping businesses to scale while reducing inefficiencies and environmental impact.

As the company visions to reshape global logistics they are continuously developing cutting-edge solutions that enhance connectivity, reliability, and operational control. By leveraging AI and automation, it is building a future-ready logistics ecosystem where efficiency meets sustainability.

Logistics is evolving beyond roads and runways, and TechEagle is leading this transformation with high-speed, long-range drone delivery solutions. By integrating hybrid e-VTOL (Vertical Takeoff and Landing) technology, TechEagle enables seamless, efficient, and autonomous transportation of goods across healthcare, e-commerce, defense, maritime, and hyperlocal logistics even in remote and inaccessible regions.

Incubated at MeitY nasscom CoE, TechEagle has developed Vertiplane X3, India’s fastest Made-in-India hybrid e-VTOL drone. With the ability to carry up to 3 kg of payload over 100 km at speeds of 120 km/hr, it ensures rapid and reliable deliveries without requiring runways or extensive infrastructure. Equipped with advanced sensors, dual propulsion redundancy, and an independent parachute system, TechEagle prioritizes safety, security, and efficiency in every flight.

Beyond speed and precision, TechEagle is making drone delivery a cost-effective and scalable alternative to traditional logistics. By pushing the boundaries of innovation and sustainability, it is shaping a future where businesses can transport goods faster, safer, and smarter unlocking new possibilities in supply chain management.

As Indian technology landscape continues to evolve, startups like Syook, Roadcast, and TechEagle will be at the forefront. With the support of MeitY nasscom CoE, these tech-driven startups are pioneering solutions and embracing deep tech solutions that allows businesses to unlock new possibilities and stay ahead in an increasingly competitive landscape.

Modern innovation exists beyond the internal boundaries of organizations. Open Innovation has emerged as the new standard for industries which solve problems by forming collaborative partnerships between enterprises startups and government officials to develop joint solutions. At the forefront of this transformation stands the MeitY-nasscom Centre of Excellence (CoE) as India’s leading institution for deep-tech innovation and industry collaboration.

Historically businesses relied on their internal research and development to create future technologies. The rapid progress of AI and IoT technologies alongside Industry 4.0 has made collaborative innovation an essential business necessity. The Open Innovation concept enables organizations to harness external expertise to develop capabilities that internal efforts could never achieve on their own.

• Startups developing cutting-edge solutions
• Corporates & SMEs looking for tech-driven transformation
• Government & Policy Bodies shaping the future of deep tech
• Academia & Research Institutions fostering knowledge exchange

• Industry-Led Problem Solving: The CoE works alongside companies to discover practical issues which startups can solve with their innovative approaches.
• Pilot Programs & Co-creation: Startups participate in live enterprise environments through the CoE’s pilot programs which enable them to evaluate and improve their solutions before widespread implementation.
• Access to Cutting-Edge Infrastructure: The CoE gives startups exclusive access to state-of-the-art labs combined with testbeds for AI, IoT and Industry 4.0 technology which speeds up their product development process.
• Ecosystem Collaboration: Through its connections with industry leaders combined with investor networks and technology expert communities, the CoE creates a dynamic environment that transforms concepts into meaningful results.

Through Open Innovation, MeitY-nasscom CoE has successfully driven transformation across multiple sectors:

• Manufacturing: AI-powered predictive maintenance solutions reducing downtime on factory floors.
• Healthcare: AI-driven diagnostics improving early disease detection and patient outcomes.
• Agritech: Remote sensing and AI models helping farmers optimize yield and resource management.

As India positions itself as a global technology leader, Open Innovation will be key to driving large-scale transformation. The MeitY-nasscom CoE continues to be the backbone of this movement, fostering collaboration, accelerating deep-tech adoption, and enabling startups to scale their solutions for global impact.

For startups and enterprises looking to co-create the future, the CoE provides the perfect launchpad. The question is – are you ready to innovate together?

The marketing world is undergoing a seismic shift 80% of digital ad campaigns are now powered by AI-driven tools. From automating mundane tasks to crafting hyper-personalized campaigns, AI is transforming how marketers work.

Here’s the kicker: AI can save marketers up to 40% of their time. Instead of drowning in spreadsheets, writing endless drafts, or manually segmenting audiences, marketers can focus on strategy while AI handles the grunt work in seconds

1. Time Efficiency: AI takes over repetitive tasks like data analysis, content creation, and audience segmentation, freeing up your schedule.
2. Improved Targeting: By analyzing user behavior, AI helps you deliver personalized ads that actually resonate.
3. Enhanced Content Creation: Need a blog post or ad copy? AI tools can generate high-quality, SEO-friendly content in minutes.
4. Better Decision-Making: With predictive analytics, AI provides insights that help you make smarter, data-driven decisions.
5. Cost-Effectiveness: AI optimizes ad spend by analyzing real-time data, reducing waste and maximizing ROI.
6. Scalability: Whether you’re a startup or a global enterprise, AI-powered strategies grow with your business.

Not all AI tools are created equal. When choosing one, keep these factors in mind:

• Accuracy & Reliability: Does it deliver actionable, high-quality insights?
• Ease of Use: Is the interface intuitive, or will it take weeks to figure out?
• Integration: Can it seamlessly work with your existing tech stack?
• Customization: Does it allow you to tailor outputs to your brand’s unique needs?
• Innovation: Does it stay updated with the latest AI advancements?
• Data Security: Does it comply with GDPR, CCPA, and other regulations?

Digital marketing is evolving faster than ever. In 2020, businesses spent over $350 billion on digital ads. Fast forward to today, and AI is driving 80% of those campaigns. Why? Because AI streamlines processes, boosts efficiency, and delivers personalization at scale.

Imagine automating tasks like drafting emails, analyzing customer data, or even brainstorming campaign ideas. That’s the power of AI—it lets marketers focus on creativity and strategy while it handles the heavy lifting.

1. ChatGPT
   1. Launched: November 2022
   2. What It Does: This AI-powered chatbot helps with everything from ad copywriting to customer interactions and blog content generation. Its latest update, GPT-4 Turbo, offers improved accuracy and conversational depth.
   3. Why Use It? It’s perfect for automating customer service, crafting ad copies, and generating content in minutes.
2. Jasper AI
   1. Launched: 2021
   2. What It Does: Jasper is a content creation powerhouse, generating long-form blogs, social media posts, and marketing copy. Its latest update lets you customize your brand’s voice for consistent messaging.
   3. Why Use It? It’s a time-saver for creating SEO-friendly content quickly.
3. HubSpot AI
   1. Launched: 2023
   2. What It Does: HubSpot AI combines marketing automation with CRM, offering features like predictive lead scoring and personalized website experiences.
   3. Why Use It? It’s ideal for streamlining customer interactions and improving engagement.
4. Copy.ai
   1. Launched: 2020
   2. What It Does: Copy.ai simplifies content creation with tools for ad copy, blog posts, and email campaigns. Its latest update includes multilingual support and tone customization.
   3. Why Use It? It’s great for generating marketing content fast.
5. SEMrush AI
   1. Launched: 2008 (AI features added in 2023)
   2. What It Does: SEMrush AI takes SEO to the next level with advanced keyword research, content optimization, and competitor analysis.
   3. Why Use It? It’s a must-have for refining your SEO strategy.
6. SurferSEO
   1. Launched: 2017
   2. What It Does: SurferSEO analyzes top-performing content and provides AI-driven recommendations to improve your search rankings.
   3. Why Use It? It ensures your content is optimized for search intent.
7. MarketMuse
   1. Launched: 2013
   2. What It Does: MarketMuse helps identify content gaps, optimize existing content, and build topic clusters to boost domain authority.
   3. Why Use It? It’s perfect for creating data-driven, authoritative content.
8. Writesonic
   1. Launched: 2021
   2. What It Does: Writesonic is an AI writing assistant for blogs, product descriptions, and ad copies. Its latest update includes article summarization for easy repurposing.
   3. Why Use It? It speeds up content creation without sacrificing quality.
9. Persado
   1. Launched: 2012
   2. What It Does: Persado uses emotional intelligence to craft messages that resonate with audiences. Its latest update enhances sentiment analysis for better engagement.
   3. Why Use It? It helps brands connect with customers on an emotional level.
10. Phrasee
    1. Launched: 2015
    2. What It Does: Phrasee specializes in AI-optimized email marketing, crafting subject lines and content that boost open rates.
    3. Why Use It? It’s a game-changer for maximizing email engagement.

AI marketing tools aren’t just a luxury anymore, they’re a necessity. From automating repetitive tasks to optimizing ad spend and improving customer engagement, AI empowers marketers to work smarter, not harder. As AI technology continues to evolve, staying ahead of the curve with the right tools can give your business a serious competitive edge.

The future of marketing is here, and it’s powered by AI. If you haven’t started integrating AI into your strategy yet, now’s the time to dive in and explore these game-changing tools. The question is: Are you ready to embrace the future?

Effective indoor asset management is a critical yet challenging aspect for organizations operating in complex environments such as hospitals and manufacturing units. Inefficiencies, lack of real-time visibility, and security risks often hinder seamless operations. To address these challenges, Sweya and Wisenet developed MIRA, an advanced Bluetooth Low Energy (BLE)-powered Indoor Asset Tracking and Management Solution. Designed to streamline operations, enhance security, and reduce costs, MIRA was successfully deployed at SSKM Hospital, Kolkata, achieving:

• 70% reduction in asset tracking time
• 99% reconciliation accuracy
• 50% improvement in asset security

This blog highlights how MIRA’s innovative technology and scalable design offer organizations a transformative solution for real-time asset control and operational excellence.

Organizations operating in large indoor spaces face several pain points that disrupt daily workflows and increase operational costs:

• Lack of Real-Time Asset Visibility: Difficulty in locating and tracking assets within vast indoor spaces.
• Asset Security Risks: Increased vulnerability to unauthorized movement, tampering, or theft.
• Manual Reconciliation Challenges: Inefficient and error-prone asset tracking processes lead to inaccurate records and operational delays.

Industries such as healthcare, manufacturing, and logistics particularly struggle with these issues, where precise asset tracking is crucial for operational success.

MIRA (Managed Indoor Resource Administration) is a cutting-edge Indoor Asset Tracking and Management Solution designed to address these challenges using Bluetooth Low Energy (BLE) technology. It provides real-time, accurate, and secure tracking of assets within indoor environments.

• Real-Time Asset Tracking:
  • Monitors and provides live updates on asset locations.
  • Reduces time spent searching for misplaced equipment.
• Automated Alerts:
  • Sends instant notifications for asset tampering or movement beyond predefined boundaries (geo-fencing).
  • Enhances security by preventing unauthorized activities.
• Real-Time Reconciliation:
  • Automates inventory reconciliation processes, reducing manual intervention and errors.
• Customizable Solution:
  • Fully adaptable to meet specific organizational requirements.

MIRA leverages state-of-the-art technology to deliver seamless functionality:

• Bluetooth Mesh Network:
  • Provides extended coverage across large indoor areas.
  • A network of BLE routers and a single 4G gateway ensures reliable connectivity.
• Self-Powered Asset Tags:
  • Replaceable batteries last several years, reducing maintenance costs.
• Indigenous and Fully Customizable Design:
  • Tailored to meet local organizational needs.

NASSCOM CoE played a crucial role as a bridge between SSKM Hospital, Sodexo, and startups Sweya and Wisenet Technologies. Acting as a catalyst for transformation, NASSCOM CoE facilitated the transition from traditional manual asset tracking methods to a smart, automated system.

By leveraging its industry expertise and extensive network, NASSCOM CoE ensured smooth collaboration between stakeholders, provided strategic guidance during deployment, and enabled the creation of a robust, scalable solution that significantly enhanced Sodexo’s asset tracking capabilities.

MIRA was deployed in a live hospital environment at SSKM Hospital, Kolkata, for Sodexo. The solution was tailored to meet the hospital’s requirements for efficient asset management and security

Deployment Process:

• Installation of BLE routers to cover the hospital’s large indoor spaces.
• Integration of self-powered asset tags on critical equipment.
• Configuration of automated alerts and geo-fencing boundaries.

• 70% Reduction in Asset Tracking Time:
  • Staff could locate assets faster, saving time and improving productivity.
• 99% Accuracy in Reconciliation Processes:
  • Automated reconciliation eliminated manual errors, ensuring reliable asset records.
• 50% Improvement in Asset Security:
  • Real-time tamper and geo-fence alerts enhanced asset protection.

MIRA’s Bluetooth Mesh Network provided seamless coverage across SSKM Hospital’s vast indoor areas, requiring minimal infrastructure. As organizations scale, MIRA offers several advantages:

• Cost-Effectiveness:
  • BLE technology ensures low power consumption and long-lasting asset tags.
• Enhanced Security:
  • Automated alerts prevent asset misuse or unauthorized movements.
• Operational Efficiency:
  • Simplifies asset tracking and management, freeing up resources for other critical tasks.
• Data-Driven Insights:
  • Provides real-time data for informed decision-making and optimized resource allocation.

MIRA is more than just a tracking solution; it is a transformative tool that enhances operational excellence. Its success at SSKM Hospital demonstrates its capability to deliver measurable outcomes, making it an essential solution for organizations aiming to improve their asset management strategies.

With MIRA, organizations can:

• Improve Efficiency: Streamline asset management processes.
• Reduce Costs: Minimize operational and maintenance expenses.
• Enhance Security: Protect assets from unauthorized access and tampering.

As industries continue to seek innovative solutions, MIRA stands out as a game-changer in indoor asset tracking and management.

In 2024, 44% of unicorns in United States are AI startups. So, nearly 1 in 2 new unicorns is an AI company. What is even more interesting is these AI players are reaching unicorn status far faster (median of 2 years) than non-AI companies (median of 9 years). The launch of its latest AI models by Deepseek which it says are on par or better than industry-leading models in the United States at a fraction of the cost and is threatening to disrupt the technology world order. While India is now getting into the AI race and is making some exciting moves we are yet to see an Indic LLM.

Though many of you might be aspiring to build foundational Indic LLMs while being hopeful and optimistic about it. In this post we will cover more about certain trends and ideas on how AI is fundamentally set to disrupt and transform the education sector, which is another area AI holds a promsing potential. We have covered some of the insights for founders who are looking to build AI solutions in India for the education space. And there is no surprise if we see AI unicorns in India in this space in near term.

Education as an industry been considered a laggard for technology adoption. However covid changed all of it. It brought massive adaption of tech in the education space. However post covid as people started getting back to brick and mortar mode again, the curve kind of took a downward turn.

Another thing to note is all of these technology innovation in education space has been mostly concentrated on distribution part of it. That is the pedagogy ie the art of teaching still remained in the human realm, while technology addressing mostly the distribution part of it ie the content part through platforms. It may be in the form of Text, Audio, Visual. While this need not be true anymore, as AI is set to fundamentally change this. This is because AI is in itself at the core a technology about learning. So, GenAI is set to disrupt the education sector. One of important outcomes of this is, it is going to make learning outcomes based. As all the information is available now on internet to anyone and everyone. In the age of AI learning is not going to be about rote learning and memorisation. The focus is going to be on curiosity, thinking and asking the right questions to hone one’s thinking and problem solving skills, with less and less of rote learning and memorisation.

So, AI is expected to bring this fundamental shift by making it pedagogy based thereby making it easier to design outcomes based systems in teaching and education.

Also, in today’s world many of teacher’s time gets used up in administrative tasks. With AI holding the potential to automate 40%-50% of administrative tasks there by freeing up most of the time of a teacher, which can be used in where it is actually meant to be used, which is teaching. Another interesting area is, with so much availability of data about a student it not only about what to teach but also on what not to teach for instructors/teachers. Reinforcement learning makes it possible for an AI system to personalise based on student level, grade and preferences. Multimodal systems will further enhance it.

The automotive industry is in the midst of a technological revolution, fueled by Artificial Intelligence (AI) and automation. These technologies are not only changing how vehicles are designed, manufactured, and driven; they’re fundamentally reshaping the entire mobility ecosystem. From the rise of self-driving cars to the emergence of smart factories, AI and automation are driving the future of transportation.

Across the globe, the automotive sector is experiencing an era of unparalleled innovation. Autonomous Vehicles (AVs) are rapidly transitioning from science fiction to reality. Industry giants like Tesla, Waymo, and Cruise are leading this charge, developing sophisticated AI-powered systems that enable cars to navigate complex real-world environments, in the subcontinent Indian auto players like TATA’s, Mahindra’s and others are not far behind in this game, they are working with a sharp focus on the ever growing demand from the aspirational young auto buyer in India, while keeping an eye on meeting global demand with improved design and safety standards. Market research firm McKinsey predicts the autonomous vehicle market will reach a staggering $400 billion by 2030, highlighting the immense potential of this technology.

Furthermore, AI is revolutionizing manufacturing processes, with robotic automation and predictive maintenance significantly reducing costs and boosting efficiency. An example of the practical applications of these technologies is a leading luxury car maker’s usage of AI-powered robots in its factories for precise welding and painting.

The rise of connected cars is another significant development. By 2025, it’s estimated that 70% of new vehicles will be connected to the internet, unlocking a range of features such as real-time traffic updates, remote diagnostics, and over-the-air software updates. AI is also enhancing the in-car experience, with voice assistants becoming increasingly integrated into modern vehicles.

India is the world’s fourth-largest automotive market and is strategically embracing AI and automation to maintain its competitive edge. The Indian automotive sector is a vital contributor to the national economy, accounting for 7.1% of the GDP and employing over 37 million people. Faced with growing demand for smarter and more sustainable vehicles, the industry is increasingly turning to technology for innovative solutions.

Electric Vehicles (EVs): India’s ambitious goal of 30% EV penetration by 2030 relies on the seamless integration of AI. Indian major manufacturers, like Tata Motors and Mahindra, are applying AI to crucial functions such as battery management, energy efficiency, and predictive maintenance. For example, Tata’s Nexon EV uses AI to optimize battery performance and extend its driving range.

Autonomous Driving: While fully autonomous vehicles are still in the testing phase, Indian startups such as Minus Zero, Swaayatt Robots are developing cutting-edge AI-driven solutions for self-driving technology. The Indian government is also quite active, with autonomous vehicle trials on designated highways and investment in the development of 5G connectivity to support Vehicle-to-Everything (V2X) communication.

Smart Manufacturing: Indian automobile manufacturers are embracing automation at a fast pace to improve productivity and efficiency. Maruti Suzuki, the leading player in the Indian market, uses robots in its factories for welding and assembly. Predictive maintenance powered by AI is also reducing downtime and improving operational performance.

Shared Mobility: AI is revolutionizing India’s fast-growing shared mobility sector. Companies such as Ola and Uber are using AI to optimize routes, reduce waiting times, and enhance passenger safety. For instance, Ola’s AI-powered platform analyzes traffic patterns and driver behavior to enhance the overall ride experience.

While the automotive sector has the potential to gain significantly from AI and automation, there are plenty of challenges on the way. In India, the principal barriers to a widespread adoption will be the cost of technology, infrastructure, and skill gaps. Globally, data privacy, cybersecurity, and the ethics of AI usage are major issues. For example, determining liability in the event of an accident involving an autonomous vehicle requires careful consideration and water-tight regulatory frameworks.

Despite these challenges, the opportunities presented by AI and automation are compelling. These technologies have the potential to significantly reduce accidents, lower emissions, and create new, high-skilled jobs in tech-driven sectors. In India, government initiatives like the FAME-II scheme (Faster Adoption and Manufacturing of Hybrid and Electric Vehicles) and the Smart Cities Mission are accelerating the adoption of these transformative technologies.

The fusion of AI and automation with the automotive industry is not a fleeting trend—it is a paradigm shift that is redefining mobility. Globally, it is driving innovation and sustainability. In India, it is laying the foundation for a smarter, cleaner, and more connected transportation ecosystem. As we navigate this transformative journey, collaboration between governments, industry leaders, and academia will be crucial to unlocking the full potential of these technologies.

The wheels of change are already in motion, and the road ahead is brimming with promise. By embracing this revolution, we are not just reimagining mobility—we are driving towards a future that is safer, greener, and more inclusive for all. The AI revolution on wheels is here, and it’s accelerating faster than ever.

At MeitY nasscom Centre of Excellence for AI we are well positioned as enablers, we spot the early trends and understand the needs of the industry at large and make the right connects with startup solutions and enterprises for co-creation and co-innovation, resulting in industries embracing innovative solution at a much accelerated pace and reducing their time on R&D with the power of co-creation, at MeitY nasscom CoE for AI, we have enabled many enterprises across sectors as the guiding force of digital transformation making an impact globally.

Imagine boarding a helicopter to an offshore site, confident that your safety training wasn’t just a routine presentation but an immersive, hands-on experience. Instead of flipping through a safety manual or watching a standard briefing video, you’ve already interacted with every emergency scenario in a virtual environment. You’ve felt the intensity of real-life situations, understood every protocol, and gained the confidence to handle emergencies. This isn’t a vision for the future, it’s happening now.

In this initiative, Imaginate XR , a leading aviation technology company, has introduced a Virtual Safety Briefing that transforms helicopter safety training. By leveraging cutting-edge virtual reality (VR) technology, this initiative enhances learning, making it more interactive and effective for offshore passengers. A crucial enabler in this journey was the MeitY nasscom Centre of Excellence (CoE) , which played an instrumental role in connecting the startup and the client, fostering collaboration, and driving technological advancement.

This blog highlights how Imaginate XR, a leading innovator in virtual reality (VR) technology with CoE playing a pivotal role in fostering collaboration and driving technological advancement.

Helicopter operations, particularly in offshore environments, come with inherent risks. Traditional safety briefings often rely on verbal instructions and printed materials, which may not fully engage passengers or ensure complete comprehension. Recognizing these challenges, the aviation company sought an interactive, engaging, and industry-compliant safety training module.

The solution needed to cover:

Attire regulations and restricted items
Baggage limitations
Supervised boarding procedures
Life jacket usage and emergency protocols
The goal was clear: enhance retention, improve preparedness, and elevate overall safety standards.

With strategic inputs and mentorship from MeitY nasscom CoE, Imaginate XR designed and developed a state-of-the-art VR-based safety training experience. Built on a comprehensive storyboard, high-quality 3D and 2D content, and expert voiceovers, the module ensures maximum engagement and understanding.

At the core of this innovation lies Imaginate’s proprietary VR collaboration platform, Atom, which facilitates a seamless and impactful training experience. Through this platform, passengers undergo a simulated safety briefing that provides an interactive, life-like experience—bridging the gap between traditional training and real-world preparedness.

Innovative Collaboration – A reputed aviation organization and Imaginate XR joined forces to create an engaging and effective safety training experience.
Virtual Reality Integration – The VR module immerses passengers in safety protocols, improving retention and comprehension.
Comprehensive Safety Guidelines – Covers attire, prohibited items, boarding/disembarking procedures, and emergency response measures.
Industry-Leading Expertise – With over 86,000 hours of accident-free flying, this initiative reinforces a steadfast commitment to safety.
Operational Efficiency – Ensures smooth execution of training while adhering to global safety standards.
Immersive Learning Benefits – Passengers familiarize themselves with safety measures before boarding, boosting their preparedness and confidence.

This pioneering initiative showcases how digital transformation is reshaping aviation safety training. By integrating VR into safety briefings, the aviation industry is setting a new benchmark for immersive learning in high-risk sectors like Oil & Gas.

A key takeaway from this collaboration is the vital role played by MeitY nasscom CoE, which helped accelerate startup innovation and bridge the gap between emerging technology and industry needs.

As VR-based training solutions become more prevalent, the future of aviation safety training is poised to be more interactive, engaging, and effective than ever before.

Enhanced Safety Training – Passengers are better prepared for real-life helicopter operations, reducing the risk of accidents.
Increased Retention & Engagement – The immersive nature of VR helps trainees retain safety protocols more effectively than traditional methods.
Operational Efficiency – Digitizing the training process saves time and resources while maintaining consistent safety standards.
Industry Innovation – This initiative sets a precedent for the aviation and Oil & Gas sectors to integrate cutting-edge technology into safety training.
Scalability & Future Applications – The success of this VR training solution paves the way for its adoption in other high-risk industries, elevating global safety training standards.

With safety at the core of aviation, leveraging advanced technology like VR is a game-changer. By embracing immersive learning, the aviation industry is not only enhancing training efficiency but also ensuring that passengers are better equipped for real-life scenarios.

As digital transformation continues to redefine training methodologies, this initiative stands as a testament to the power of collaboration and technological ingenuity – ensuring a safer, smarter, and more prepared future for all.