Institutional AI needs a
record that holds up later.
Sigilith is building durable recordkeeping for AI-assisted decisions, so organizations can answer hard questions with artifacts, not narratives.
Logs aren’t evidence.
AI now produces language and decisions that can trigger scrutiny, including audits, disputes, and investigations.
Months later, teams are forced to reconstruct what happened. That reconstruction often depends on brittle artifacts like screenshots, ad-hoc exports, or tribal knowledge.
Sigilith exists to make reconstruction possible through defensible records.
What changed
Automated decisions now carry institutional risk.
Regulators require proof of process, not just outcomes.
Narratives no longer satisfy audit requirements.
Minimal claims. Maximal integrity.
Artifacts over assertions
If it can’t be produced later, it can’t be defended.
Context belongs with the output
Policy state and approvals matter as much as the text.
Custody without ceremony
Chain-of-custody should be native, not manual.
Interoperable by default
Evidence must move across tools, teams, and vendors.
Security is governance
Controls and auditability are the product, not a wrapper.
Export is the test
When scrutiny hits, you need a packet, not a dashboard.
Built like infrastructure.
How we build
How we work with customers
Sigilith: a seal cut into permanence.
The name reflects durable attestation (seal) + permanence (stone). Sigilith is built for institutional-grade memory for AI-assisted outputs.
Early, deliberate, and focused.
We’re building with a small number of design partners in accountability-heavy domains. If you own regulated communications, governance gates, or model risk oversight, we should talk.
What we’re looking for
Founding team.
Building systems that remain defensible under scrutiny.
-4%20(1)-DvBJLZ4B.png)
If you’re accountable for outcomes, this is for you.
We respond quickly to serious inquiries.