For shielding & secure-facility contractors
Longlead AI reads MILCON J-books, SAM.gov, CON filings, and building permits, then runs inference to surface the RF/EMI, SCIF, and MRI scope hidden inside them. On major federal projects, that is typically 9–18 months before the GC buys out your scope.
MILCON J-BOOK · FY BUDGET LINE · CLEAR SFS, ALASKA
Long Range Discrimination Radar — Mission Control Facility.Construct a mission control facility supporting radar operations. Primary facilities include secure operations and equipment areas.
conf 0.90 · lead time pre-RFP
Modeled on a real MILCON line in Longlead AI's regression suite; scope value from configured bands — an estimate, never a quote.
/0.1 — Before the bid
Longlead AI turns early public signals into cited opportunities. You use the lead time to reach the right GC and build trust while the project and requirements are still taking shape.
The software identifies and cites the opportunity. You decide what to pursue and make the call.
Every opportunity links to its original public record.
/0.2 — Denominated in your dollars
Within 24 months’ lead time, across displayable configured bands.
One SCIF or vault package: six figures and up, each.
Found months ahead of the bid board.
Feed-level range measured 2026-08-07 on a live feed configured for one shielding trade with no territory limit, not a customer's feed. It sums the displayable configured scope bands inside an estimated lead-time window of 24 months, anchored to each record's own dates rather than to today, after dropping every opportunity whose own record dates mark it as passed: performance window ended, or buyout likely already let. It was measured before the feed also began setting aside leads whose estimated lead window has elapsed, so it can include some of those. Bands are estimates, never quotes. The single-row figure is modeled on a real record in Longlead AI's regression suite. Estimates and illustrations of a fitted feed, never a promise of awards.
Reading the public record, daily
6 primary sources · always on
Hover to pause · reduced-motion shows a static row.
/0.3 — What it watches
DoD budget justification lines: secure facilities appear here long before construction awards.
Sources-sought and design-build RFPs, with the notice documents read in full for scope triggers.
Design and construction primes whose facilities imply your sub-tier scope, plus recompete timing.
Certificate-of-Need imaging and treatment projects (NY, NC, GA, VA live), the earliest commercial signal.
Building permits across covered metros and the Texas Architectural Barriers System for imaging buildouts.
Configured scope boundary
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.
/ The facilities we read — before they’re bid
/0.4 — The inference, spelled out
From our regression suite
This modeled record says
MILCON J-book line · Clear SFS, Alaska
Longlead AI infers
A radar mission-control facility of this class requires RF/EMI shielding, SCIF buildout, and TEMPEST protection. None of that appears in the budget line.
You get
The opportunity with confidence, timing, the cited record, and a qualification brief naming who is already connected. You make the call.
Sample card, modeled on a real MILCON line in Longlead AI's regression suite: the case every release must still flag correctly.
/0.5 — Evidence
An award ID, a J-book line, a permit, a filing. Every row also carries a confidence score, a lead-time window, and an estimated scope value. Provenance is never designed away.
/0.6 — Qualify the opportunity
The public signal, confidence, lead time, value band, who is already connected, and what’s still unconfirmed. You decide, and reach out from your own channels. Nothing leaves the system.
Who to call: the awarded prime. Why now: the RF-enclosure scope isn't in the drawings yet; ~14 months to raise it before design locks. Est. scope ~$3.2M.
evidence attached · USASpending award recordRF yes, lead-lining no? Faraday rooms yes, cleanrooms no? Your in/out list is configuration the engine enforces. Near-miss false positives are rejected before they reach you.
Every opportunity arrives as a cited qualification brief: the J-book line, VA construction budget line, solicitation, award, filing, or permit it was inferred from, your confidence and lead time, the value band, the likely prime or GC to call, and what's still unconfirmed. You make the call, from your own channels. Nothing leaves the system.
Every prospect links the specific public record it was derived from: a J-book line, a SAM notice, a CON filing. Each carries a confidence score and a lead-time window grounded in the signal's actual date.
Modeled on a real record in Longlead AI's regression suite; scope value from configured bands — an estimate, never a quote.
From the field
“It surfaced a job I knew was coming — before a single piece of bid traffic existed.”
/0.7 — Lead time
Everything you can buy today surfaces at bid stage. Longlead AI works the months before that, typically 9–18 on major projects, per signal, never a blanket promise.
Months before your scope is named on a bid board
Illustrative of how these public processes typically sequence, not a performance benchmark.
Tell us what you sell and what you don't, and see what Longlead AI is watching for you right now.
For shielding & secure-facility contractors
Longlead AI reads MILCON J-books, SAM.gov, CON filings, and building permits, then runs inference to surface the RF/EMI, SCIF, and MRI scope hidden inside them. On major federal projects, that is typically 9–18 months before the GC buys out your scope.
MILCON J-BOOK · FY BUDGET LINE · CLEAR SFS, ALASKA
Long Range Discrimination Radar — Mission Control Facility.Construct a mission control facility supporting radar operations. Primary facilities include secure operations and equipment areas.
conf 0.90 · lead time pre-RFP
Modeled on a real MILCON line in Longlead AI's regression suite; scope value from configured bands — an estimate, never a quote.
/0.1 — Before the bid
Longlead AI turns early public signals into cited opportunities. You use the lead time to reach the right GC and build trust while the project and requirements are still taking shape.
The software identifies and cites the opportunity. You decide what to pursue and make the call.
Every opportunity links to its original public record.
/0.2 — Denominated in your dollars
Within 24 months’ lead time, across displayable configured bands.
One SCIF or vault package: six figures and up, each.
Found months ahead of the bid board.
Feed-level range measured 2026-08-07 on a live feed configured for one shielding trade with no territory limit, not a customer's feed. It sums the displayable configured scope bands inside an estimated lead-time window of 24 months, anchored to each record's own dates rather than to today, after dropping every opportunity whose own record dates mark it as passed: performance window ended, or buyout likely already let. It was measured before the feed also began setting aside leads whose estimated lead window has elapsed, so it can include some of those. Bands are estimates, never quotes. The single-row figure is modeled on a real record in Longlead AI's regression suite. Estimates and illustrations of a fitted feed, never a promise of awards.
Reading the public record, daily
6 primary sources · always onHover to pause · reduced-motion shows a static row.
/0.3 — What it watches
DoD budget justification lines: secure facilities appear here long before construction awards.
Sources-sought and design-build RFPs, with the notice documents read in full for scope triggers.
Design and construction primes whose facilities imply your sub-tier scope, plus recompete timing.
Certificate-of-Need imaging and treatment projects (NY, NC, GA, VA live), the earliest commercial signal.
Building permits across covered metros and the Texas Architectural Barriers System for imaging buildouts.
Configured scope boundary
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.
/ The facilities we read — before they’re bid
/0.4 — The inference, spelled out
From our regression suite
This modeled record says
MILCON J-book line · Clear SFS, Alaska
Longlead AI infers
A radar mission-control facility of this class requires RF/EMI shielding, SCIF buildout, and TEMPEST protection. None of that appears in the budget line.
You get
The opportunity with confidence, timing, the cited record, and a qualification brief naming who is already connected. You make the call.
Sample card, modeled on a real MILCON line in Longlead AI's regression suite: the case every release must still flag correctly.
/0.5 — Evidence
An award ID, a J-book line, a permit, a filing. Every row also carries a confidence score, a lead-time window, and an estimated scope value. Provenance is never designed away.
/0.6 — Qualify the opportunity
The public signal, confidence, lead time, value band, who is already connected, and what’s still unconfirmed. You decide, and reach out from your own channels. Nothing leaves the system.
Who to call: the awarded prime. Why now: the RF-enclosure scope isn't in the drawings yet; ~14 months to raise it before design locks. Est. scope ~$3.2M.
evidence attached · USASpending award recordRF yes, lead-lining no? Faraday rooms yes, cleanrooms no? Your in/out list is configuration the engine enforces. Near-miss false positives are rejected before they reach you.
Every opportunity arrives as a cited qualification brief: the J-book line, VA construction budget line, solicitation, award, filing, or permit it was inferred from, your confidence and lead time, the value band, the likely prime or GC to call, and what's still unconfirmed. You make the call, from your own channels. Nothing leaves the system.
Every prospect links the specific public record it was derived from: a J-book line, a SAM notice, a CON filing. Each carries a confidence score and a lead-time window grounded in the signal's actual date.
Modeled on a real record in Longlead AI's regression suite; scope value from configured bands — an estimate, never a quote.
From the field
“It surfaced a job I knew was coming — before a single piece of bid traffic existed.”
/0.7 — Lead time
Everything you can buy today surfaces at bid stage. Longlead AI works the months before that, typically 9–18 on major projects, per signal, never a blanket promise.
Months before your scope is named on a bid board
Illustrative of how these public processes typically sequence, not a performance benchmark.
Tell us what you sell and what you don't, and see what Longlead AI is watching for you right now.