India's top research institutions (the IITs, IISc, BITS, IIITs, and central research labs) produce world-class research across AI, materials, biotechnology, quantum, robotics, and frontier engineering. They also produce, by global benchmarks, a fraction of the commercial outcomes that comparable research output would produce in the US, the UK, Israel, or China. The gap is not in the research.
The gap is in the bridge between research and revenue. Closing this gap is one of the single highest-leverage opportunities in Indian deep tech in 2026. Here is what the gap looks like, why it persists, and how lab-to-launch programs are starting to close it.
The scale of Indian research output
India's research production is substantial. The IITs collectively produce more than 12,000 PhDs and tens of thousands of patents over the past decade. IISc Bangalore has published more than 25,000 research papers in the last 10 years across deep tech-adjacent fields.
The CSIR network of 38 laboratories employs roughly 8,000 scientists and engineers. ISRO, DRDO, BARC, and other national research institutions add substantial research capability at the national mission level. Indian researchers globally are among the top contributors to AI, machine learning, and computer science research at top conferences (NeurIPS, ICML, CVPR).
The output is real. The conversion is the problem.
The commercialisation gap, in numbers
Compare Indian research output to commercial outcomes against global benchmarks, and a structural pattern emerges. The United States generates roughly $1.7 billion in license revenue from university tech transfer offices in a typical year, with thousands of startups spun out of universities annually. Stanford alone has produced multiple multi-billion-dollar companies from its research base.
India, with comparable research output volume on many dimensions, generates significantly less licensing revenue and produces far fewer commercial spin-outs per research dollar invested. NASSCOM's analysis of the deep tech ecosystem repeatedly highlights this gap as one of the structural constraints on India's deep tech growth. The gap is not because Indian research is weaker.
The gap is because the systems for converting research into commercial outcomes (tech transfer offices, IP commercialisation, founder formation pipelines, patient capital, deep tech infrastructure access) are less developed than in the comparison countries.
Why the gap persists
Five structural reasons explain why Indian research commercialisation lags.
Reason one: tech transfer office capability is uneven.
Some Indian institutions have effective tech transfer offices; many do not. Where they exist, they often lack the commercial sophistication, industry relationships, and IP commercialisation expertise that would convert research into licenses, spin-outs, or partnerships at scale.
Reason two: the researcher-founder transition is hard.
Most Indian PhDs go into academic positions, government service, or large-company R&D roles. The path from PhD to founder is less travelled than in the US or Israel, partly cultural, partly institutional, and partly economic.
Reason three: deep tech capital availability for research-stage spin-outs is limited.
A US researcher with a defensible technology can access seed capital from specialised deep tech funds within months of formation. An Indian researcher with comparable technology often faces 12 to 18 months of bootstrap-or-die before any institutional capital becomes available.
Reason four: research-industry interaction is episodic, not systematic.
Industry partnerships with research institutions in India are often project-specific (a single piece of contract research) rather than relationship-based (a continuous flow of joint projects, IP licensing, and talent exchange). The systematic relationships that produce commercialisation in the US (where Stanford alumni run companies that contract back to Stanford labs) are less common in India.
Reason five: regulatory and IP frameworks for university spin-outs need refinement.
Equity arrangements between researchers, institutions, and external co-founders, IP assignment rules, and institutional approval processes for spin-outs vary across Indian institutions, sometimes creating friction that takes months to resolve. Closing each of these gaps requires different interventions, but the cumulative effect is what produces the commercialisation lag. What "lab to launch" programs actually do Lab to launch programs, including PanScience Innovations' own initiative of the same name, are designed specifically to close the gap between research excellence and commercial outcome.
A well-run lab to launch program operates four functions.
Function one: technology scouting and assessment.
The program identifies research with commercial potential, working with tech transfer offices, individual researchers, and research group leads. Each candidate technology is assessed for market potential, IP defensibility, time to commercial readiness, and team formation viability.
Function two: founder formation and team building.
Where the researcher wants to lead commercialisation, the program supports that path. Where the researcher prefers to remain academic, the program identifies and recruits an operator co-founder to lead commercialisation while the researcher remains involved as CTO, chief scientist, or advisor. Studio-supplied senior operators often fill this role.
Function three: capital and infrastructure provision.
The program supplies formation capital, engineering and product infrastructure, regulatory navigation, GTM capability, and access to lighthouse partner relationships. The researcher does not have to figure out the operational stack from zero.
Function four: institutional interface management.
The program manages the equity arrangements, IP licensing, institutional approvals, and ongoing research-institution relationships that would otherwise consume substantial founder time. The researcher continues their academic work; the program handles the institutional complexity. Together, these four functions can convert a research result into a venture in 6 to 12 months, where the same conversion through ad-hoc effort might take 24 to 36 months or fail entirely.
The categories where lab-to-launch matters most Five research categories in India have the highest commercialisation potential and the largest current gap.
Category one: AI research from IIT and IISc groups.
Top Indian AI research groups produce models, algorithms, and applied techniques that would be venture-fundable if packaged correctly. The translation from "paper at NeurIPS" to "company with revenue" is not happening at the rate the research quality justifies.
Category two: biotech and life sciences research.
Indian biotech research, particularly in pharmacology, genomics, diagnostic methods, and biomanufacturing, has produced patents and findings that could anchor commercial ventures. The path from research to FDA-style approvals and commercial deployment is long, but each year of delay reduces the commercial window.
Category three: quantum and frontier computing.
IISc, IITs, and national labs have published meaningful research in quantum algorithms, quantum hardware, and post-quantum cryptography. Converting this into venture outcomes will define India's positioning in the next computing era.
Category four: materials science and manufacturing technology.
Advanced materials, energy storage, semiconductor manufacturing, and additive manufacturing research from Indian institutions has produced findings with significant commercial potential, particularly in the context of India's Atmanirbhar Bharat manufacturing push.
Category five: robotics and embodied AI.
Indian robotics research, both academic and applied (defense, agricultural, industrial), has produced capabilities that could anchor commercial ventures, particularly as robotics costs decline globally and Indian manufacturing scales. In each category, the technology exists, the talent exists, and the demand exists. What is missing is the systematic bridge from lab to launch, and that bridge is what programs like PSI Lab to Launch are built to provide.
What researchers should consider before commercialising For a researcher considering whether to commercialise their work, four questions matter most.
Question one: is the underlying technology commercially relevant in a 24-month window?
A research result that would take 10 years to reach market is not yet venture-ready (though it may be later). A research result that could become a commercial product in 12 to 24 months is ready for commercialisation.
Question two: do I want to be a founder, or do I want to remain a researcher?
Both paths are legitimate. A researcher who wants to remain academic should structure the commercialisation through licensing or with an operator co-founder leading. A researcher who wants to bea founder should commit to the founder role with eyes open about what it entails.Question three: who owns what?
IP ownership, institutional equity, researcher equity, co-founder equity, and external investor equity need to be structured cleanly from the start. Lab to launch programs typically help navigate this.
Question four: what is the right institutional partner?
Different programs, accelerators, and venture studios have different commercialisation depths. A researcher should evaluate based on category fit, partner network in the relevant industry, and the institutional partner's actual track record on lab-to-launch outcomes. A researcher who works through these four questions before committing is making an informed choice.
Anything less is taking a gamble on the most important career decision of the next decade. The bigger picture India produces world-class research in deep tech-adjacent categories. India produces a small fraction of the commercial outcomes that comparable research output produces in other countries.
The gap is the single largest unrealised opportunity in Indian deep tech in 2026. Closing the gap requires systematic, institutional, repeatable processes for converting research into ventures. Lab to launch programs are part of the answer.
So are improved tech transfer offices, dedicated deep tech capital pools, systematic researcher-founder pipelines, and policy frameworks that encourage rather than complicate university spin-outs. PanScience Innovations operates Lab to Launch as one of our core initiatives precisely because closing this gap is foundational to India's deep tech decade. The research is there.
The bridge is being built.
FAQ
What is a Lab to Launch program?
A Lab to Launch program is a structured initiative that converts academic research into commercial ventures, providing technology scouting and assessment, founder formation and team building, capital and infrastructure provision, and institutional interface management. The program closes the gap between research excellence and commercial outcome by supplying the operational, capital, and institutional capability that researchers typically lack.
Why does Indian research commercialise less effectively than US research?
Five structural reasons explain the gap: uneven tech transfer office capability across Indian institutions, the underdeveloped researcher-to-founder pipeline, limited deep tech capital availability for research-stage spin-outs, episodic rather than systematic research-industry interaction, and regulatory and IP frameworks for university spin-outs that need refinement. The research itself is competitive globally; the commercialisation infrastructure lags.
Can researchers remain academic while commercialising their work?
Yes. Many successful tech transfer arrangements involve the researcher remaining in academia as CTO, chief scientist, or advisor, while an operator co-founder leads commercial operations. Equity and IP arrangements are structured to compensate the researcher and the institution while enabling the venture to operate at startup velocity. Lab to launch programs typically help structure these arrangements.
Which Indian research categories have the highest commercialisation potential?
Five categories show the highest potential and largest current gap: AI research from IIT and IISc groups, biotech and life sciences (particularly pharmacology, genomics, and diagnostic methods), quantum and frontier computing, materials science and manufacturing technology, and robotics and embodied AI. Each category has strong research output and clear commercial demand, with the bridge from research to revenue being the missing piece.
How long does it take to convert research into a commercial venture?
A well-run lab to launch process typically converts a research result into a venture (formation, MVP, first pilot, seed round) in 6 to 12 months. The same conversion through ad-hoc effort (researcher figuring out commercialisation from scratch) typically takes 24 to 36 months or fails entirely. The compression comes from supplying institutional capability rather than requiring the researcher to build it from zero.