Forge is the independent accountability layer for federal AI. Every agent action and autonomous call clears it, and when the operator cannot be in the loop, it makes the call on the asset and signs the record.
The same deterministic engine that holds AI agents accountable in the commercial world is the accountability layer for AI on the federal side. Point any federal AI agent or autonomous system at the Forge API and every high-consequence action clears the same independent checkpoint. Given the evidence and the rules of engagement, it makes the operational call (proceed, divert, abort, or maneuver), dictates the next action, and emits a signed, offline-verifiable record of why. No generative model in the decision path. No external calls. It runs in a SCIF, on an air-gapped network, or at the edge.
Contested and denied environments are pushing the decision onto the platform, where no human can react in time. The hard part is not making a call. It is being able to prove, after the fact, that the call followed the rules of engagement, to a commander, an IG, or a coalition partner. A model's own logs cannot do that. Forge is the independent, deterministic record that makes an autonomous decision defensible.
It decides when no one else can.
And it can always show why.
Forge has been put in front of the technical authorities who scrutinize mission decision systems, and is positioned to be bought.
Independently evaluated by the National Reconnaissance Office on a bounded cislunar space-domain-awareness use case.
Technical evaluation with the Johns Hopkins Applied Physics Laboratory.
Engaged in the Defense Innovation Unit AI portfolio.
Assessed post-competition, readily awardable on the CDAO Tradewinds Solutions Marketplace.
Registered and active. CAGE code 1ASL5. U.S.-built, founder-owned.
Mutual NDA executed with the Mohammed Bin Rashid Space Centre for an allied lunar evaluation.
The decision layer is domain-agnostic. It sits above the GN&C, the autonomy stack, and the sensor fusion. It never replaces flight control or interlocks, and it signs every call.
The decision and autonomy layer for surface operations: when to relocate, sample, divert, or hold, on a robot that cannot wait for a ground loop. In development against real mission profiles.
Sensor-fusion and tasking decisions for spacecraft and SDA: weigh the track, make the maneuver-or-hold call, and sign the rationale for the operations center.
A signed decision layer above mission software and C2 (proceed, escalate, or reject), with the evidence chain attached, for air, maritime, subsea, and ground.
Decisions under degraded or spoofed timing and navigation: choose the source, flag the anomaly, and record what was trusted and why.
When the link is gone, the engine makes the bounded call locally and reconciles a signed record when connectivity returns.
The same agent-accountability checkpoint from the commercial side, for autonomous and AI-enabled systems inside the perimeter.
A signed bill of materials for simulation-generated and synthetic training data: how it was produced, where it was benchmarked, what remains uncertain, and the named next tests. A program office or a test and evaluation authority verifies it offline.
Forge maps directly to the DoD Responsible AI tenets (Responsible, Equitable, Traceable, Reliable, Governable). It gives a program the artifact those tenets ask for, the kind of evidence the CDAO RAI Toolkit and NIST SP 800-53 controls expect a system to produce. Forge does not claim a certification or an ATO. It produces the signed proof that supports one.
Every decision carries its evidence, the rules applied, the uncertainty that remained, and a signed, replayable record. Personnel can understand how the call was reached and reconstruct it later, offline.
The human-review boundary is encoded in the policy, not left to the model. When a call exceeds the bound, Forge holds or escalates, and the record shows exactly where a human was, or had to be, in the loop.
Deterministic Bayesian logic with no generative model in the signed path. The same canonical input reproduces the same decision and the same replay key, so behavior is testable and the record does not drift.
No generative model in the decision path means nothing to phone home and nothing to hallucinate. Forge is deterministic, self-contained, and verifiable with no access to us.
Runs fully offline on classified or isolated networks. No outbound calls, no external dependency at decision time.
Small, deterministic footprint that runs on the platform, not in a data center, so the call survives a denied link.
The same canonical inputs re-derive the same decision and replay key. An auditor can verify the signed record offline without asking Forge to vouch for it later.
U.S.-built and founder-owned, with export-control handled deliberately, not as an afterthought.
Forge is one deterministic decision-and-record core. The vocabulary changes; the engine does not. That is the proof it is genuinely agnostic: the same diligence-grade record comes out no matter what goes in.
The independent checkpoint every agent action and high-consequence decision clears. Forge decides, then signs the record.
Evidence and rules in. The call, the reasoning, and a signed, replayable record out. The same core, every domain.
Makes the proceed / divert / abort / maneuver call on the asset when the operator cannot, and signs why.
Forge is already evaluated, registered, and awardable. There are clean paths to put it under contract, and a small first step that proves it on your own ground before anything bigger.
Assessed post-competition and readily awardable on the CDAO Tradewinds Solutions Marketplace. A fast, competed path to award, never a sole-source claim.
Reachable through Other Transaction Authority vehicles, consortium memberships, and SBIR or STTR. We can plug into the path your program already uses.
One workflow, one decision, one signed record, one packet your reviewers can verify, on synthetic or sanitized data. Proof before scale, on a fixed scope.
A technical walkthrough for the program office, the technical authority, and the contracting shop together, tuned to your mission and your environment.
NAICS and PSC on request. Readily awardable, never sole-source.
Straight answers on what the accountability layer for federal AI is, how it maps to Responsible AI, where it runs, and who has evaluated it.