Every demo below runs on live production data. Real receipts, real policy evaluations, real cryptographic proofs. No sandbox, no mocks.
Every autonomous AI action gets evaluated through 9 policy rules, deterministic replay, and Ed25519 signing. Issue receipts, verify independently, enforce admissibility.
curl https://decrec.summitcognitive.ai/quickstart.sh | bash
Graph-based intelligence analysis. Ingest sources, build entity relationships, run graph queries, and generate provenance-backed reports. Full OSINT platform built on Neo4j.
Query the reasoning behind any graph relationship. Returns evidence provenance, confidence scores, and the reasoning chain that produced a conclusion. Useful for auditing AI-generated analysis.
Simulate autonomous agent scenarios without connecting a real repo. Three pre-built scenarios: allowed merge, blocked infra, escalated security change.
Generate a real compliance report from production data. Agent performance, top block reasons, policy posture, verification links. Export as PDF.
8-slide shareable deck. Problem, solution, live production data, integration matrix, strategic position, pricing. Send before any meeting.
Real case study: how Decision Receipt improved admissibility on a production repository. From 17% to 96% acceptance rate. Per-agent performance, policy tuning, and improvement loop.
Early-access prototypes of the patent-pending primitives being developed for the SBIR Phase I submission. These represent the "high-water mark" of decision accountability.
Tri-temporal replay of graph belief state. Distinguishes between what the system believed at time T (hypothesis) and what was verified as fact. Replay the history of AI reasoning.
Automatic generation of decision memos and reports. Validates every claim against the evidence graph. If a claim is unsupported or contradicted, the report is blocked from publication.
Autonomous agents are scaling faster than the infrastructure to hold them accountable. Decision Receipt is the enforcement layer that was missing. Not observability. Not guardrails. Not governance documentation. Runtime proof that the action was allowed to matter.
Four short reads that explain what this technology does, how the policies work, and how it maps to existing compliance frameworks.
Why "did the AI do this?" is not enough. What admissibility means, and why it requires a signed receipt.
Read →The full set of rules evaluated on every receipt. What each rule checks, what a violation looks like, and how to tune them.
Read →Side-by-side with observability tools, guardrail frameworks, and governance platforms. Where each fits, and where they stop.
Read →Which NIST AI RMF and CMMC controls Decision Receipt satisfies, with evidence export for auditors.
Read →High-fidelity briefs extracted from the core operating doctrine and strategic mission of the Summit Platform.
The civilizational layer: on the construction of cognitive infrastructure and the end of valid autonomy.
Read Manifesto →The core mandate: governed infrastructure, policy-first execution, and revocable autonomy.
Read Brief →Success and kill thresholds for evaluating the retrieval protocol moat and operational quality.
Read Brief →The report on Absolute Engineering Finality and the achievement of the Terminal Engineering Zero state.
Read Brief →No account required to try the API. Your first receipt is issued anonymously. Claim an API key when you are ready to track agents.