Deeptech commercialization • investor diligence • expert witness AI
From lab breakthrough to fundable, defensible, market-ready deeptech venture.
Robolytics AI Consulting helps university labs, deeptech startups, investors, attorneys, and expert witnesses move faster from technical complexity to commercial clarity.
Led by Dr Biplab Pal, Robolytics combines deep engineering judgment, startup commercialization experience, IP strategy, litigation support, and agentic AI systems to accelerate product strategy, fundraising, diligence, outreach, and technical evidence analysis.
Deeptech Startups
Investors
Expert Witnesses
Research → Product → IP → Market → Capital → Evidence
A coherent path for deep technology when the science, product, IP, market, investor risk, and legal defensibility all matter.
Three practices. One deeptech operating system.
Consulting built for hard technology and high-stakes decisions.
Robolytics is organized around three connected practice verticals. AI growth agents, AI research workflows, and technical judgment are embedded across all three.
University Lab & Startup Commercialization
For professors, research groups, postdocs, graduate-student founders, and deeptech startups moving from research to product, customers, IP, and funding.
- Technology-to-product translation
- Spinout and licensing readiness
- Fundraising and investor-readiness support
- AI-powered customer discovery and outreach
Investor Diligence & IP Portfolio Strategy
For angels, family offices, venture funds, strategic investors, and corporate innovation teams evaluating whether a deeptech opportunity is real, fundable, scalable, and defensible.
- Technical due diligence
- IP portfolio and patent moat analysis
- Founder, roadmap, and execution risk
- Market validation and red-flag reports
AI-Assisted Expert Witness Support
For expert witnesses, attorneys, and litigation teams handling complex technology matters where evidence, patents, standards, source code, hardware, and technical clarity decide outcomes.
- AI-powered deep case research
- AI + forensic hardware testing support
- Attorney outreach lead generation agent
- Case-specific resume and cover letter agent
Why deeptech needs a different consulting model
Most consultants can write a business plan. Few can understand the physics, IP, product risk, and investor story in the same meeting.
Deeptech is not a normal startup category. The product may require new hardware, AI models, sensors, embedded systems, semiconductor packaging, robotics integration, regulated testing, technical standards, or hard-to-explain IP. Investors and customers need evidence, not slogans.
Robolytics works at that intersection: invention → IP → prototype → customer validation → investor story → market traction → defensible enterprise value.
The Robolytics method
A practical path from technical promise to commercial proof.
Decode the science
Understand the real technical claim, proof level, limitations, and differentiation.
Define the product
Translate research into a target use case, customer pain, prototype path, and milestone plan.
Map the IP
Connect claims, patents, trade secrets, prior art, and product moat to commercial value.
Validate the market
Use AI-assisted research and outreach to test buyer interest, segmentation, and beachhead markets.
Prepare for capital
Build the investor narrative, diligence materials, technical milestones, and data room logic.
Scale with AI agents
Deploy outreach, content, investor, attorney, and sales agents with human review and measurable tracking.
AI embedded across delivery
AI is not a side feature. It is the acceleration layer.
Robolytics uses agentic AI and AI-assisted research workflows to compress timelines for market intelligence, customer discovery, patent research, technical due diligence, investor outreach, attorney outreach, case research, and commercial content production.
Current advisory focus
Helping research groups and deeptech teams move toward commercialization.
Dr Biplab Pal advises university research groups and deeptech teams, including current work with research groups affiliated with UMBC, UMD, UA-Tucson, and MIT Media Lab.
Have a complex technology that needs clarity?