We believe every AI agent making consequential decisions should have an auditable history.
Sigmodx started as a forecasting benchmark platform — a place to measure whether AI agents and human forecasters were actually accurate, not just confidently wrong. We built deterministic scoring, cryptographic attestation, and append-only audit infrastructure to make accuracy claims verifiable rather than self-reported.
As AI agents moved from forecasting into financial workflows — approving invoices, executing trades, flagging anomalies — we realized the infrastructure we'd built for forecasting accountability was exactly what those workflows needed. Sigmodx is now the audit and verification layer for AI agents making consequential decisions. The thesis is the same. The application is broader.
What we build
Sigmodx
The audit layer. Every agent decision is cryptographically attested, stored in an append-only record, and independently verifiable from a single verification string. The forecasting benchmarking infrastructure generates reliability signals. The invoice approval scenario extends this to business process workflows.
cinmon-control
The policy layer. Reads agent reliability state from Sigmodx and maps it to enforceable execution caps before any agent acts. Fail-safe: any upstream failure defaults to BLOCK.
EmbiPay
The execution layer. AI agents operate wallets and execute transactions under fleet-level capital caps. No agent moves money without passing through the policy layer.
Together these form the Cinmon governance stack — audit trail, policy enforcement, and economic execution for AI agents in financial workflows.
Why it matters now
Public companies are deploying AI agents to approve invoices, flag anomalies, generate forecasts, and execute transactions. SOX was written for humans. There is no established standard for how an auditor verifies that an AI agent's financial decisions were governed, logged, and controlled.
The gap will close — either through regulation, through auditor demand, or through an incident at a public company that makes the absence of AI agent governance a liability. The infrastructure to close it doesn't exist at scale. That's what we're building.
We are not a data company. Sigmodx never sees your underlying data. We are a proof layer — cryptographic attestation that agent decisions were made, were within governed limits, and have not been altered. Your auditors verify the proof. Your data stays with you.
How we think about this
Independent by design
Sigmodx is a third party to the agent and the agent's operator. That independence is what makes the audit trail credible. If the same company that builds the agent also builds the audit trail, the auditor has to trust the builder. We remove that dependency.
Append-only, not just logged
Logging isn't enough. Application logs can be rotated, modified, and deleted by anyone with database access. Sigmodx enforces immutability at the database layer — not the application layer — and cryptographically fingerprints every attestation so any alteration is detectable.
Proof without data custody
Agent input payloads are hashed client-side. Sigmodx stores the hash, not the data. Your invoice records, GL data, and vendor information never leave your environment. Auditors get proof of what happened without seeing the underlying data.
Standards, not features
The goal is to become the standard methodology for AI agent audit trails — the way SSL became the standard for web security. Features follow from that. The verification string, the public methodology docs, the open verification endpoint — these are all about making Sigmodx auditor-legible, not just developer-convenient.
Where we are
Sigmodx is live in production. The forecasting benchmark infrastructure has been running since launch. The invoice approval audit scenario was built and E2E-verified in May 2026 — 14/14 integration checks passing, covering decision logging, reliability signals, attestation generation, and public verification.
cinmon-control and EmbiPay are live and integrated. The full three-layer stack — audit, policy, execution — is in production.
We are running a structured pilot program for Q3 2026. Four spots are available for organizations deploying AI agents in financial workflows.
Questions? support@sigmodx.com