The topic may seem rhetorical. We all agree that research institutions matter enormously, especially in deep tech. But their role goes far beyond producing research papers or patents. They are often the foundation on which entire deep-tech ecosystems are built.
I want to explore why research institutions have become so important to the deep-tech pipeline, how venture capital can provide the right launchpad for innovative technologies developed in research labs, and finally, what this means for India.
The deep-tech substrate
The company is the visible output. The research system carries the earliest uncertainty, capability and cost.
Research
uncertainty
Breakthrough
evidence
IP
ownership
Company
execution
Industry
demand
Industry demand feeds the next research question.
Why the institution carries early risk
Three capabilities compound before a startup can carry them itself.
Risk-taking
Failure is a method of discovery.
Tacit knowledge
Expertise accumulates through iteration.
Infrastructure
Shared tools lower the cost of experimentation.
First, the importance
Research institutions carry the earliest risk.
Research institutions have always been pivotal to human growth and development whether through advances in the arts, exploration or scientific discovery. But never have they been as important as they are in today's age of deep tech.
Deep-tech companies often require years of scientific and engineering development before a commercially viable product emerges. Much of that foundational work happens long before a startup exists.
There are many reasons why research institutions matter. Here are three of the most important.
Risk-taking
Research institutions embrace failure as a path to learning and discovery. They can undertake projects that most corporate boards would not approve because the outcomes are uncertain, the development cycles are long, or the commercial application is not yet obvious.
They create an environment where researchers can explore ideas without having to demonstrate an immediate commercial return.
Many great innovations are also the result of unexpected discoveries rather than a direct path from problem to solution. The willingness to experiment, fail and try again makes research institutions a form of early-stage risk capital for science and technology.
Talent and Tacit Knowledge
Few places can provide the concentration of specialised talent that leading research institutions can.
Scientists, engineers, students and domain experts work alongside one another, combining theoretical understanding with practical problem-solving. Over time, these institutions also accumulate an enormous amount of tacit knowledge - expertise developed through years of experimentation and iteration that cannot easily be documented, transferred or replicated.
That knowledge can become a significant competitive advantage when a technology moves from the laboratory into the market.
This is particularly important in deep tech, where the moat is often built around physical systems, scientific expertise and accumulated domain knowledge rather than software alone. SilverX's Non-Disruptible Thesis explores this idea in greater detail.
Infrastructure
Deep-tech research often requires infrastructure that would be prohibitively expensive for an early-stage company to build on its own.
Whether it is a synchrotron, clean-room facility, specialised laboratory, high-performance computing infrastructure, testing facility or advanced scientific software, research institutions provide the tools researchers need to focus on solving the underlying problem.
This infrastructure can dramatically reduce the cost of experimentation and allow researchers to push the boundaries of what is technically possible.
So, while a unicorn may be the visible iceberg, research institutions are often the mass beneath the surface.
A Win-Win Partnership
The research lab and the venture investor have different jobs.
This is where the relationship between research institutions and venture capital becomes particularly interesting.
The hand-off
The lab and the fund are complementary systems, not substitutes.
Research institution
Explores uncertain science, accumulates tacit knowledge and makes infrastructure available.
Venture investor
Selects the threshold-crossing technology and builds the company, market and capital path around it.
Venture capital is designed to generate returns for investors within a finite time horizon, with fund lives typically spanning seven to ten years. The development timelines for many deep-tech sectors can be significantly longer.
This creates a structural mismatch.
Research institutions are often excellent at developing breakthrough technologies, but they may not have the mandate, incentives or capabilities required to turn those technologies into large businesses.
VCs, on the other hand, are designed to identify high-potential opportunities and provide capital, market access, talent and networks to build scalable companies.
The research lab can therefore be the origin of the technology, while the venture investor can help build the company around it.
The opportunity for VCs is not to commercialise every piece of research. It is to identify the technologies that have crossed the threshold from interesting research to potentially transformative technology and then provide the environment needed to take them to market.
What Should VCs Do Differently?
Build a long-term presence inside the institutions.
Both research institutions and VCs have their own thesis and areas of expertise, so the matchmaking needs fundamental alignment.
Once that alignment exists, VCs need to develop a long-term presence within these institutions. They need to understand the research being conducted, track projects that are beginning to show results, and build relationships with the researchers and other key members of those teams.
This means developing an understanding of:
- The technologies being developed
- The researchers and technical leaders behind them
- The intellectual property being created
- The stage of technical maturity
- The potential commercial applications
- The market opportunity
- The capabilities required to take the technology to market
The objective is not to predict which research project will become the next billion-dollar company.
It is to be close enough to the ecosystem to recognise when a piece of research has the potential to become one.
It is also important to remember that research projects can have manifold applications.
A camera developed to produce better satellite imagery, for example, could eventually find applications in healthcare, industrial inspection or autonomous systems. The original problem being solved does not necessarily define the eventual market.
This is one of the reasons deep-tech investing requires investors to understand the underlying technology rather than simply the initial market it is targeting.
VCs therefore need to embed themselves within these institutions not just to source deals, but to understand the science, the people and the potential applications early enough to help shape the transition from research to company.
India’s missing bridges
Capacity becomes company creation only when the hand-offs are designed.
Research capacity
frontier science
Technology transfer
IP + incentives
Patient capital
long timelines
Commercial company
market + talent
The Indian Landscape
India has the talent. The bridges are still being built.
India has no shortage of scientific and engineering talent. Indian researchers and engineers are already contributing to some of the world's most important technology companies, scientific programmes and deep-tech businesses.
Institutions such as the Indian Institutes of Technology (IITs), the Indian Institute of Science (IISc), laboratories of the Council of Scientific and Industrial Research (CSIR), and other national research institutions have the potential to become important engines of deep-tech company creation.
But for a country of India's scale, we need much more.
We need more research capacity, more specialised infrastructure and more capital willing to support long development cycles.
More importantly, we need stronger bridges between research and commercialisation.
This means:
- Stronger technology-transfer capabilities
- Better incentives for researchers to commercialise their work
- Easier access to research infrastructure
- Deeper collaboration between academia and industry
- More experienced technology-commercialisation teams
- Capital designed around the timelines of deep-tech development
There are encouraging signs that this ecosystem is beginning to develop.
The Anusandhan National Research Foundation (ANRF) is being built as a national research and innovation institution, with programmes spanning frontier research, research networks and technology translation. Anusandhan National Research Foundation (ANRF)
The Technology Development Board (TDB), a statutory body under the Department of Science and Technology (DST), Ministry of Science and Technology, Government of India, is specifically mandated to support the development and commercialisation of indigenous technology. Technology Development Board (TDB)
The Government has also introduced the Research, Development and Innovation (RDI) Fund, a ₹1 lakh crore initiative designed to spur private-sector research, development and innovation. The RDI Fund is structured as a special-purpose fund within ANRF, with the Department of Science and Technology (DST) as the nodal department. Research, Development and Innovation Fund (RDI Fund)
The space sector is a useful example of what can happen when the government, research institutions, industry and capital begin to work together.
The Indian Space Research Organisation (ISRO) has long supported research through academia. Its RESPOND programme provides financial and technical support for academic research relevant to India's space programme, while Space Technology Cells and Space Technology Incubation Centres create additional links between academia, research and entrepreneurship. ISRO – Academia & Research
These developments are encouraging, but they are only the beginning.
For a country of India's scale, we need many more institutions capable of producing frontier research and many more pathways for that research to become commercially viable companies.
This is particularly relevant across sectors such as semiconductors, space, health tech, energy, robotics and AI. SilverX's research on India's Next Wave: 5 Sectors Poised for Growth explores several of these emerging opportunities.
The opportunity is to build an ecosystem in which a researcher does not have to choose between publishing breakthrough research and creating a company around it.
Building the Deep-Tech Flywheel
Research, capital and industry must keep turning.
All strong ecosystems develop a flywheel.
In deep tech, I believe that flywheel runs along these lines:
The flywheel in motion
Research
Breakthroughs
IP + capital
Startups
New industry
Research creates breakthroughs.
Breakthroughs create intellectual property.
IP attracts capital and creates new startups.
Startups create products and industries.
Industries fuel new research.
Venture capital is an integral part of that flywheel but it cannot operate in isolation.
If deep tech is going to become a meaningful source of economic growth, productivity and strategic capability, we need to invest not only in startups, but also in the institutions that create the science, talent, infrastructure and intellectual property from which those startups emerge.
The next generation of deep-tech companies may not emerge from today's traditional startup hubs. They may emerge from laboratories where a researcher has spent years solving a problem that the market is only now ready to appreciate.
The conclusion
The opportunity for venture capital is to be there when that transition happens.