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Deep tech scouting, sourcing and diligence, accelerated by AI.
Our team runs your landscaping, sourcing, diligence and strategy work using FedTech's own AI tools and ten years of program data, covering the ground of an army of analysts in a fraction of the time.
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Companies worked with
Raised by FedTech alumni
Programs delivered
Built for teams that find and back new technology.
The AI-augmented strategy team
Companies without the budget for external strategists run build / buy / partner / invest workflows on borrowed time from a small internal team. That costs money. Your best people get pulled into manual, low-return work, and strategic deals get missed.
AI-accelerated workflows
- Innovation pipeline design and execution
- Build / buy / partner / invest thesis and screening
- Technology and market landscaping
- Deep tech scouting and partner screening
- Augmented research, synthesis and briefings
Outcome. External-strategist scope without the external-strategist budget, with human experts who carry out the work as well as advise on it.
200+ technologies, 8 weeks
Working with a Fortune 500 electronics OEM's corporate venture arm, our AI-enabled team examined 200+ relevant technologies and down-selected two pilot-ready leads, one now in active diligence.
The AI-augmented deal team
Most of the sourcing job is mechanical: building target lists, screening them, re-running the same market analysis, assembling reporting. We deploy an AI-augmented deal team, so thesis-driven sourcing runs every day and first-pass diligence arrives before the partner meeting.
AI-accelerated workflows
- Thesis-driven deal sourcing and origination
- Deal screening and diligence support
- Market, competitive and technical analysis
- Portfolio management and reporting automation
Outcome. You get the sourcing coverage of a much larger fund at mid-market cost.
Collaboration found from public data
In one agentic workflow demo, our agents used public information alone to identify collaboration gaps between a corporate venture capital firm's portfolio company and its parent company's business units. They then generated a collaboration proposal, which the venture team confirmed as valid.
Defensible programs, measurable outcomes
Competitive programs bury commercialization offices in applications and demand resource-intensive outcome tracking. Programs are expected to show a return to taxpayers. We build AI systems that filter the noise, make selection defensible, and track post-award outcomes.
AI-accelerated workflows
- Defensible down-selection for competitive programs
- Program outcome measurement and attribution
- Time-to-transition indexes for mid-course pivots
- Technology capability and startup sourcing
Outcome. Tracked outcomes you can use to defend program funding.
Federal SBIR outcomes
A federal agency's Small Business Innovation Research (SBIR) office needed to see what happens to awardees after the funding stops. FedTech built a system measuring the ROI of those investments (job creation, follow-on funding and other outcomes), so the office can quickly answer questions from Congress about the program's value.
How it works
The AI innovation pipeline engine.
Four layers. Your team works with the first, and we run the rest.

Your digital team
Agents that scout, screen, compare, diligence, summarize and draft. Each one is benchmarked and shows its work, so you can open any answer and see where it came from.
Built into your existing process
Queues, review steps, human sign-off and escalation, wired into your customer relationship management (CRM) system, data room, deal log and inbox. A person approves every output before it's used.
Ten years of commercialization data
A living graph of technologies, federal labs, patents, startups, programs and real outcomes, built on ten years of FedTech program data.
Connected to the right data
Connected to FedTech's proprietary data and to paid external data sources.
Why FedTech
Why work with us instead of building it in-house
Built-in error checks
AI models sometimes make things up. We run separate agents that check our output for errors.
Affordable at scale
We sort large datasets quickly first and only run detailed analysis on what passes, which keeps costs down.
Works with your IT rules
We can deliver a custom build your IT team can approve, or work inside your existing systems.
Our tools, run by our team
You get a service, not software to manage. Our analysts run FedTech's own tools and data for you, built on ten years of doing this work by hand.
How we engage
Start where it makes sense for you.
Executive briefing & opportunity map
A working session on what AI can and can't do for your pipeline today, then a review of how your team's work gets done, where it slows down and what it costs.
You leave with: a prioritized opportunity map ranked by value against effort, and a recommended pilot.
Pilot workflow automation
One real use case, run on your data, in your environment, with your people in the loop and a measured baseline.
You leave with: a working pilot in production and before-and-after numbers you can take to leadership.
Roadmap & execution
Build, run and scale AI workflows across the organization.
You leave with: a live system, a sequenced roadmap, and an internal team who can operate both.
Let's talk.
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