For CQV, GMP & facility-readiness firms
Longlead LifeSci
NIH and federal awards fund capacity. Longlead AI infers the CQV and GMP-readiness work the award never names.
NIH REPORTER · NEW MANUFACTURING-SCALE AWARD
Biotech funded to scale from research to production.Award funds build-out of GMP manufacturing capacity. Milestones require production readiness within the grant period.
Illustrative example — shows the inference the engine draws from these public records, not a delivered customer result.
Scopes this feed is configured for
Your boundary is configuration, not a suggestion: the services you don’t sell are enforced as exclusions, so near-miss false positives are rejected before they reach you.
How the inference works
The public record says
Federal funding award for production capacity
Longlead AI infers
An organization funded to scale from research to production faces CQV and GMP-readiness work the award never names — and it lands on a schedule set by the funding milestones.
You get
The opportunity with confidence, timing, the cited record, and a dossier naming who to call — you make the call.
Illustrative example — shows the inference the engine draws from these public records, not a delivered customer result.
What it watches
Funded research and infrastructure awards — capital flowing toward facilities that will need qualification.
Federal funding opportunities and awards whose conditions imply facility and compliance readiness work.
What you get
The feed is built from the public funding record — who received what, for what capacity — matched against the services your firm actually provides.
Every opportunity arrives as a cited evidence dossier — the public signal, your confidence and lead time, the value band, who to call, and talking points. You make the call, from your own channels. Nothing leaves the system.
Every prospect cites the award or opportunity it was derived from, with a timing window grounded in the funding's own schedule.
/0.7 — Lead time
These public processes run for months before the work is named anywhere you can buy a lead. Longlead AI reads them at the top.
Months before CQV work is procured
Illustrative of how these public processes typically sequence — not a performance benchmark.
Memory
It learns your fit — and you can open it up. Every correction you make becomes an inspectable rule with a test attached, so “the AI learned” always resolves to a named artifact you can read. It sharpens on your industry over time — and your specific deals, relationships, and margins are never shown to another customer.
$35k–$150k/yr, priced per scope and territory — billed annually (save ~20%) or monthly — see pricing.
Illustrative demo of the correction loop — the rows and rule are examples, not a live customer feed.
/0.9 — Pricing
Add the scopes you want watched and the ground you cover. Start with one, add more as you win. Pay by the quarter — or take the year and the fourth quarter is on us.
Plans are non-exclusive— any qualified firm can track the same scope in the same state. You’re paying for the intelligence, not a territory lock.
Billed once a year — the fourth quarter's on us. $26,250 for the year instead of $35,000.
$35k–$150k+ a year — one won six-figure job, found 12–24 months early, covers it.
An estimate from our published price card — never a quote. Final scope boundaries are set with you in onboarding.
Tell us what you sell and what you don't — and see what Longlead AI is watching for you right now.