Evidence-grade AI for prior art, technical diligence, and document intelligence — deployable inside your boundary.
Search, structure, and defend technical evidence at scale: governed prior-art search over the USPTO corpus, auditable citation trails, and document-intelligence pipelines that run on-premise or in your cloud tenancy.
Evidence infrastructure with provenance before scale
The request starts a scoped buyer conversation with the system, artifact, and human review path visible up front.
A concrete artifact or pilot scope, not a generic discovery call.
Fat Tailed Solutions builds, ships, and runs the system.
This page captures the context needed to reply without a second intake step.
Evidence infrastructure with provenance before scale
The request starts a scoped buyer conversation with the system, artifact, and human review path visible up front.
- Work product
- A concrete artifact or pilot scope, not a generic discovery call.
- Operating owner
- Fat Tailed Solutions builds, ships, and runs the system.
- Request path
- This page captures the context needed to reply without a second intake step.
- Human gate
- Nothing is sold or turned on without a scoped follow-up.
- Source context
- The reply is tied to the offer and page that brought you here.
- First move
- The next step should be small enough to prove value before anything expands.
Where evidence work breaks down
- Prior-art and technical diligence are manual, slow, and inconsistent across reviewers.
- Commercial AI tools can't produce the audit trail your review process requires.
- Sensitive documents can't leave your boundary — which rules out every SaaS demo you've seen.
- Contractor LOE for document review scales linearly with volume, forever.
What you get
- Governed search infrastructure: budget-capped, logged, reproducible queries with full audit trails.
- Evidence binders: structured findings with citations that survive review.
- On-premise / gov-cloud deployment paths — infrastructure-as-code, documented, inspectable.
- Document-intelligence pipelines: ingestion, OCR, transcription, structured extraction.
- A working prototype on your sample corpus before any commitment.
How it works
- 1
Capability briefing
30 minutes: your evidence workflows, our deployed systems, honest fit assessment.
- 2
Sample-corpus pilot
We stand up the pipeline on representative unclassified data and measure against your baseline.
- 3
Deploy inside the boundary
Your tenancy, your controls, our engineering — with documentation built for accreditation.
For tech-transfer offices, agency counsel, primes, and SBIR/STTR teams. We'll show live systems, not slides, and follow up with a one-page capability statement.
Request a briefingRequest a capability briefing
Tell us your organization and the evidence workflow you're trying to scale. We'll reply with times and a capability statement.
Skip the pitch. Tell us the live situation: what happens today, where it breaks, and what would prove this belongs in your workflow.
- Current state
- Tools, volume, team, or workflow as it works today.
- Where it breaks
- Missed calls, slow searches, manual rework, risk, or revenue slipping away.
- First useful proof
- The one result that would make you say: yes, keep going.
A straight fit/no-fit read, a small first move, and the evidence we’d use to judge whether it worked.
No client files, passwords, private matter facts, or account access in the first note. Rough context is enough.