India is racing to become a global GenAI hub, and the startups shaping that future are being chosen right now.
The opportunity is real and large. According to McKinsey, generative AI applications could add up to $4.4 trillion to the global economy annually. Across fintech, healthcare, legal, and enterprise tech sectors, enterprises are embedding AI into their core strategies as a competitive necessity. Analysts predict that within three years, any technology, media, or telecom product without a credible AI layer will struggle to stay relevant.
India is positioning itself at the center of this shift. And NASSCOM is helping to decide which startups lead it.
On April 17, 2026, NASSCOM announced the fourth cohort of its GenAI Foundry programme, selecting 33 high-potential generative AI startups from across India. Responsible AI Labs (RAIL) is one of them, chosen for its work in the trust-and-safety layer of the AI stack, a space most companies reach only after something goes wrong.
NASSCOM's Bet on Responsible AI
The GenAI Foundry is one of NASSCOM's most deliberate initiatives, a structured accelerator built to identify startups that are ready to move from early traction to enterprise scale. Getting selected means NASSCOM sees commercial viability and real-world relevance in what you're building.
The evolution we are seeing in the GenAI Foundry is a testament to the maturing Indian AI ecosystem. We are moving beyond simple experimentation toward sustainable business models and global scale. - Ankit Bose, head of AI at Nasscom
Cohort 4 includes companies working across fintech, health tech, edtech, legal, and enterprise tech. Having a trust-and-safety company in that mix is not accidental. NASSCOM AI has stated that enhancing trust through responsible AI is one of its core focus areas.
Inside the GenAI Foundry: Scale, Access, and Impact
Launched in October 2023, the GenAI Foundry has emerged as a key platform for early-stage AI startups in India.
It is a structured accelerator focused on enterprise integration, market access, and global scale. The numbers back that up.
Across three cohorts, more than 100 startups have participated, with the programme facilitating over 530 investors and enterprise engagements, leading to proof-of-concept projects and funding opportunities. Participating startups have collectively filed over 40 patents, with more in development.
Revenue growth tells the clearest story. Portfolio ARR across the programme grew from $3.9M in FY23–24 to $9.7M in FY24–25, with projections nearing $35M in FY25–26. Engagement within the programme has a measurable impact too: startups that engaged more deeply reported a median ARR of $300K, compared to $90K for lower-engagement peers.
The programme is supported by over 60 industry partners and offers startups access to cloud computing resources, mentorship from global experts, and soft investor commitments worth $25 million.
Cohort 4 by the Numbers: A Maturing Startup Ecosystem
This is the fourth batch NASSCOM has selected since October 2023. Each cohort has grown in scale and commercial maturity, and Cohort 4 reflects how far India's GenAI startup ecosystem has come in under three years.
14 of the 33 selected startups are led by women founders or co-founders, a meaningful shift in a space that has historically skewed heavily male. More than half report average revenue above $50K, which means these aren't pre-revenue experiments; they are businesses with paying customers. 17 are bootstrapped, built without institutional funding, on the strength of the product alone.
On the funding side, more than 20 startups are actively raising, with a median target of $1.7M. In aggregate, the cohort is collectively targeting $120M in fresh capital. That's not a group looking for validation; that's a group ready to scale.
The startups span enterprise technology, fintech, healthtech, edtech, media and entertainment, retail, and legal services with innovation across developer tools, infrastructure, marketing automation, content generation, analytics, and customer support. Across every one of those sectors, the question of trustworthy AI is live. That's exactly where Responsible AI Labs operates.
Responsible AI Labs: Building the Trust Layer of AI
RAIL builds infrastructure for AI accountability. The company started with a simple observation: as AI systems become more powerful, the need for ethical guardrails becomes more important.
While traditional AI development focused on performance metrics, accuracy, speed, and efficiency, the founders asked different questions: Is it fair, transparent, safe, and does it respect privacy? That question became a company.
Founded in March 2025, RAIL launched its 8-dimensional RAIL Score framework in May 2025, and by November 2025 had released RAIL-HH-10K, the first large-scale multi-dimensional AI safety dataset. Less than a year in, the company had already shipped a framework, a dataset, and a suite of developer tools.
RAIL sits in the trust and safety layer of the GenAI stack, helping organizations measure, monitor, and mitigate bias through the RAIL Score and AI governance audits. Its product suite includes the RAIL Score Evaluator, a Protected Content Generator, and a Compliance Tester, built for developers and enterprises that need to demonstrate fairness and accountability. RAIL also maintains open-source SDKs in Python and JavaScript, keeping its tools accessible beyond enterprise budgets.
The company was co-founded by Pritam Prasun (CEO) and Sumit Verma (CTO), with a background built on shipping AI at scale, which directly informs how RAIL's tools are designed for production environments, not just research settings.
The NASSCOM selection comes at a natural inflection point. In under 14 months, RAIL went from founding to a published framework, a public dataset, a live product suite, and now a seat in India's most recognized GenAI accelerator. The Foundry adds credibility, and it opens the enterprise doors that responsible AI tooling needs to become standard practice.
Some days building a startup feels like shouting into a void. And then a day like this happens, and you realize the void was listening the whole time. - Sumit Verma, Co-Founder & CTO, Responsible AI Labs
Why This Selection Matters
RAIL's inclusion is significant on two levels. For the company, the Foundry provides direct access to enterprise networks, investor connections, and peer learning from 32 other high-growth GenAI founders.
First cohort startups saw their business nearly double within a year and headcount grow by 50%, suggesting that this access translates into real outcomes.
For the industry, it signals something broader. Responsible AI is becoming a prerequisite. NASSCOM itself has said it will continue to focus on improving market access, enterprise integration, and global expansion as Indian generative AI startups move from early validation to scaled deployment. Trust and safety infrastructure, RAIL's core, is foundational to all of that.
What Comes Next for India’s GenAI Ecosystem
India's GenAI ecosystem is at a turning point. The experimentation phase is over. What comes next is scale and scale, done wrong, amplifies bias, erodes trust, and breaks systems at the worst possible moments.
RAIL's work is to make sure that doesn't happen. Its selection into Cohort 4 is recognition that the industry knows this problem needs solving, and that RAIL is building the tools to solve it.