Verifiable evidence for high-stakes AI outputs.
Sigilith turns AI outputs into tamper-evident, cryptographically verifiable records—so audits, disputes, and model risk reviews have defensible proof on demand.
The Workflow
Capture → Seal → Index → Export
A simple pipeline that turns ephemeral outputs into audit-ready evidence.
Capture
Record the output and its context at creation (policy, approvals, operational metadata).
Seal
Generate a verifiable seal and chain of custody.
Index
Make records searchable by case, policy, time, and system.
Export
Produce audit-ready evidence packs when needed.
At a Glance
Built for governance under real audit pressure.
What it is, who it's for, why now, and how it fits into regulated workflows.
Tamper-evident, cryptographically verifiable records for high-stakes AI outputs.
Built for compliance, legal, risk, security, and model governance teams, starting in Financial Services and Insurance.
AI is moving into regulated workflows. Audits, disputes, and model risk reviews require evidence, not screenshots.
Capture outputs at creation, bind policy + approvals + operational context, and generate evidence packs on demand.
Capabilities
Evidence primitives for regulated AI.
Three building blocks that make outputs defensible across systems and time.
Verifiable Output Records
Cryptographically signed records created at generation, ensuring every output has a defensible chain of custody.
Policy-Linked Context
Tie outputs to governing policy state, approvals, and operational context, so reviews have the full story.
Audit-Ready Evidence Packs
Generate exportable evidence for regulators, disputes, investigations, and board-level review, without scrambling for logs.
Outcomes
Designed for audits, disputes, and model risk reviews.
Not dashboards. Evidence you can defend.
Regulated Accountability
Satisfy the most rigorous audit requirements. We enable compliance and legal teams to defend automated decisions with verifiable proof.
Integrity First
Verifiable memory is the prerequisite for trust. Our infrastructure anchors intelligence in reality, ensuring that what happens in the model is preserved for the record.
Roadmap
The path to the evidence layer.
Start with high-risk outputs. Expand into system-of-record infrastructure.
Regulated outputs (customer + regulator-facing)
Start where audit exposure is immediate: support responses, disclosures, notices, and other outward-facing high-stakes outputs.
Internal decisioning & approvals
Extend evidentiary capture to underwriting, claims, credit support, and internal workflows tied to governance gates.
System of record for AI provenance
Cross-industry evidence infrastructure spanning models, tools, vendors, and the AI supply chain.
Access
You already have GenAI. Now you need proof.
Request access to the Sigilith pilot and we'll walk you through evidence packs, policies, and sealing.