The first DLP-conformant product.
GrantsProQR is the Decision Lineage Protocol running in a real domain — authority-anchored, go/no-go compliance intelligence for federal grants. Every determination carries citation lineage. Refusal is first-class. Professional judgment is never substituted.
Authority-anchored compliance intelligence — bounded, cited, and honest about its limits.
GrantsProQR bridges federal grants regulatory complexity to practitioner confidence by delivering authority-anchored, go/no-go compliance intelligence bounded at the federal level, so that grant-receiving entities can act with defensible speed on 2 CFR 200 and related requirements — without substituting professional judgment.
Federal grants fail not because the rules are unknown, but because authority is layered and conditional, applicability is contextual and time-bound, and the reasoning behind decisions is not preserved. Most systems flatten that complexity into documents and checklists. GrantsProQR makes it navigable — not by simplifying the complexity, but by composing it into decision pathways with full citation lineage.
Every query resolves to one of four classes
No undifferentiated “output.” Each determination carries an explicit type.
The action is permitted under cited authority.
The action is prohibited under cited authority.
The action may be permitted contingent on named conditions, with explicit caveats.
The system cannot determine; it produces a gap statement with guided next steps.
What it is not
- Not a chatbot, document summarizer, or search engine — a compliance-intelligence instrument with defined planes of reasoning.
- Never a substitute for professional judgment — it supports human decisions; it does not render audit opinions or replace the grants professional, auditor, or legal counsel.
- The federal confidence boundary is structural — state, local, and entity policy surface as “requires further consultation,” never as resolved conclusions.
- A fast answer without traceable authority is worse than a refusal.
Watch one question move through the system.
A determination is not a lookup. It is a composition — context assembled, authority retrieved, prior decisions weighed, claims formed with explicit limits, gaps named and routed, and the whole reasoning trace captured so it can be replayed and defended. Press play, or step through each stage.
Illustrative walk-through. The entity, award, and requestor are fictional.
From signal to scoped response — composed, not guessed.
The same discipline that produces a determination composes a scoped response. A finding arrives as a typed signal — its domain, its questioned-cost exposure, the flags that make it what it is. Rules select the service modules that apply, at the depth the signal warrants. No model call. Every module carries the rule that placed it in scope — the lineage travels with the output.
Change the signal on the left; the scope recomposes deterministically. Illustrative modules and rules; internal effort and pricing bands are omitted.
- Control statements
- Evidence index
- Test map
- Control Data Map contribution
- 1–2 control statements
- Evidence index
- Test map (3–5 pages)
- RACI matrix
- Approval & escalation flow
- Control calendar
- RACI
- Control calendar
- 1-slide governance snapshot
- Lineage map
- Quarter-pack checklist
- Recon template + example
- Lineage map
- Quarter-pack lite
GrantsProQR is one instantiation. The discipline is the Decision Lineage Protocol.
DLP is the open structural layer for AI-mediated decisions: typed truth, encoded authority, and preserved lineage. GrantsProQR is what it looks like when that layer runs against real regulation, for real practitioners, with real consequences.
Decision lineage
Every determination is captured as a replayable trace — context, authorities, claims, gaps, and the accountability chain. Not an audit trail after the fact; lineage carried at decision time.
Truth-type discipline
Every output carries an epistemic type: authoritative citation, derived determination, conditional interpretation, or explicit gap. The four truth types from DLP-Core, instantiated in the product's reasoning architecture.
Authority planes
Federal authority carries confident assertions; entity-specific context carries conditional interpretations. The confidence boundary is structural — not a setting, not a disclaimer.
Refusal-first
When the system cannot determine, it refuses and names the gap. The governance substrate is not optional infrastructure — it is constitutive of what the product is.
“A decision without lineage is a conclusion without evidence.”
Governance-grade compliance intelligence, at a practitioner's price point.
It sits between boutique advisory and generic AI: domain-specific where general tools are shallow, citable and durable where chatbots are not, and priced for the entities that carry federal awards but cannot afford hyperscale consulting.
Natural-language query
Ask a compliance question in plain language, bounded to your entity type and program.
Four-class determinations
Confident go, confident no-go, conditional interpretation, or explicit refusal — never undifferentiated output.
Citation chains
Every confident assertion resolves to a specific, verifiable regulatory citation. Gaps are explicit refusals.
Technical-note export
Structured reasoning traces exportable for your compliance documentation and audit defense.
Entity + program scoping
Declare what kind of entity you are and which programs you run; the confidence perimeter is set for the session.
Guided gap resolution
When the answer depends on non-federal law, the system routes you to the next step — never a hollow conclusion.
Access tiers
A free tier anchors access; paid tiers add reach. Pricing published at launch.
Entity + program selection, with at least one authority-anchored response per session.
Single user, core determinations, technical-note export.
Team access, full feature set.
Bundled with GrytLabs advisory for entities that need the human loop.
Be first to run a determination.
GrantsProQR is in build. Join the preview list and we’ll reach out as access opens — for grant-receiving entities and the advisors who serve them.