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PulseTRACE is the standalone trace panel and policy engine for high-stakes AI workflows. It fuses deterministic event lineage with a compliance-first control plane for nuclear standards, regulator review, and enterprise audit readiness.
PulseTRACE works with your existing LLM orchestration stack and adds deterministic truth, transparent conflict handling, and human-verifiable evidence chains.
Every recommendation is attached to a reproducible artifact chain and versioned evolution trail.
Disagreement is promoted into measurable observability and deterministic policy decisions.
Integrates with existing model routing while preserving strict boundary controls for regulated teams.
Every AI decision flows through a verifiable chain — from MCP gateway validation to sandboxed execution, policy enforcement, and immutable audit. Hover each component to learn more.
Hover any component to explore its role
Click through each trace step to inspect provenance metadata, review conflict flags, and follow the complete decision lineage from ingestion to audit.
We use heavily-regulated, yet synthetic, NRC (Nuclear Regulation Commission) and ECCS (Emergency Core Cooling Systems) data as the examples.
Operational events, sensor telemetry, and 3 regulatory documents ingested. All artifacts tagged with provenance-aware metadata and hash-verified before downstream processing.
A live force-directed graph of AI output provenance. Green links are verified evidence chains. Red dashed links flag conflicts. Click any node or link to inspect full metadata.
We use heavily-regulated, yet synthetic, NRC (Nuclear Regulation Commission) and ECCS (Emergency Core Cooling Systems) data as the examples.
Compliance mode is anchored on a trusted MCP server registry with hard approval gates, strict access boundaries, immutable audit logs, and containerized sandbox isolation.
Only approved MCP servers can execute. Registry metadata tracks owner, approval authority, standards scope, and signed image digest.
Enforce role and attribute-based policy by workflow stage, source classification, and operation type. Deny by default.
Record every server invocation, policy decision, and data access edge with trace id, actor id, timestamp, and result status.
Run each approved MCP server in a locked container profile with read-only root, egress restrictions, and per-request lifecycle controls.
Start with Playwright MCP in Docker to validate secure browser automation before enabling broader MCP catalog coverage.
Modern AI systems generate answers. PulseTRACE generates something more valuable — operationally defensible intelligence with evidence lineage, policy-aware orchestration, and deterministic traceability built into every step.
PulseTRACE transforms probabilistic AI outputs into defensible operational decisions with full provenance.
Operational events, documents, telemetry, and supporting artifacts are ingested with provenance-aware metadata.
Policy-aware validation frameworks verify source integrity, operational context, and trusted workflow pathways.
Structured reasoning and governed enrichment assemble traceable evidence chains while preserving human oversight.
PulseTRACE emits explainable trace panels, operational summaries, and regulator-ready export bundles with deterministic lineage.
PulseTRACE is designed to support the most demanding operational environments — where architecture itself must be operationally trustworthy.