Applied AI

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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Since 2015
1,000+

Companies worked with

$5.7B

Raised by FedTech alumni

136+

Programs delivered

Who we serve

Built for teams that find and back new technology.

Corporate strategy & venture teams

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 plus technologies mapped and screened over 8 weeks, narrowed to two pilot-ready leads, one of which is now in active diligence
The proof
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.

Mid-market private equity & growth-stage venture capital

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.

From a demo
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.

Government agencies

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.

Timeline from award to end of funding, where most tracking stops. Tracking continues, recording follow-on funding, jobs and technology transitions in a program record ready for Congress.
The proof
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.

01

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.

02

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.

03

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.

Tell us the workflow, the sourcing target, or the landscape you keep redoing by hand.
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