Every Decision.
Proven.
Prove what your software did — independently. Sigigo is evidence infrastructure for AI agents, automated workflows, and enterprise systems: cryptographically verifiable records that cannot be silently altered without detection.
Traditional logs were built for troubleshooting, not proof.
Organizations routinely rely on logs stored in databases or cloud services that can be modified by administrators, restored from backups, deleted by attackers, or rewritten during incident response.
The rise of AI dramatically increases this challenge. Autonomous systems are making decisions involving money, healthcare, insurance, security, and legal risk.
Prove what your software did — independently. Sigigo turns important actions into tamper-evident evidence packs someone else can check without trusting your dashboard.
For high-risk AI in the EU, Article 12 also requires automatic lifetime logging. See how Sigigo supports that logging duty.
The Sigigo Solution
- Append-only events in a transparency log
- Sensitive payloads stay in your vault (Private Commitment Mode)
- Signed commitments and proofs — not raw prompts by default
- Every event is digitally signed
- Linked into an immutable chain
- Export evidence packs; verify offline without trusting us
Evidence pipeline
How it works
A four-step path from application events to independently verifiable cryptographic evidence.
- 01
Emit
Applications emit structured events (JSON) via our lightweight SDK or API.
- 02
Hash & Sign
Events are canonicalized, hashed, and digitally signed to guarantee origin.
- 03
Chain
Events link into an append-only cryptographic chain and batch into Merkle trees.
- 04
Package & Verify
Export self-contained evidence packs. Verify proofs offline — optional public anchoring when policy allows.
Offline verification
Self-contained proof bundle — verify without trusting our dashboard.
{
"event_id": "evt_01HFWJ4...",
"timestamp": "2026-07-01T08:00:00Z",
"action": "ai_model_inference",
"payload_hash": "e3b0c44298fc1c149afbf4c5996fb92427ae41e4649b934ca495991b7852b855",
"cryptographic_proof": {
"merkle_root": "8a9b3c...",
"inclusion_path": [...],
"anchors": [
{"network": "ethereum", "tx_hash": "0x123..."}
]
}
}Capturing End-to-End AI Evidence
Sigigo is designed to provide cryptographic evidence for every step in the lifecycle of AI-driven decisions. This enables organizations to prove not only what an AI system did, but how and why it made a decision.
What Sigigo Captures
AI inputs
Signed commitments over prompts and instructions — payloads stay in your vault by default
Context
System instructions, retrieved documents, and conversation references (hashed or committed)
Retrieved Documents
RAG sources and knowledge-base results witnessed at retrieval time
Model Metadata
Model name, version, provider, and configuration
Tool Calls
Function and tool invocations by AI agents (API calls, queries, actions)
Governance metadata
Policy outcomes and risk signals recorded at the decision boundary — not a separate control plane
Human Approvals
Approvals, overrides, and escalations by human reviewers
AI Outputs
Model responses and decisions (committed or referenced, not necessarily stored raw)
Final Actions
What was executed in downstream systems as a result
End-to-End Evidence Flow
- 1Prompt & Context WitnessedCanonicalized and committed before model invocation
- 2Model Metadata LoggedProvider, version, and configuration captured
- 3Output & Actions ProvenAI outputs and resulting actions are chained and signed
- 4Human Review & GovernanceOversight events independently evidenced in the same session chain
- 5Evidence Pack ExportSelf-contained bundle with proofs and offline VERIFY instructions
Primary Use Cases
- AI agents and multi-step automation
- Financial services — credit, insurance, banking AI
- Healthcare — clinical and healthtech AI
- Hiring & HR — screening and assignment AI
Transparency rules are live. Article 12 logging is the next cliff.
From 2 August 2026, Article 50 requires disclosure evidence for most generative-AI deployers. High-risk Annex III systems still need automatic, tamper-evident logging under Article 12 — UI labels and SIEM exports are not enough.
Evidence Infrastructure for AI Agents
As autonomous agents execute multi-step workflows, organizations need more than mutable logs. Sigigo witnesses every inference boundary — inputs, tool calls, retrieved context, and final actions — as cryptographically verifiable evidence. Under Private Commitment Mode, sensitive payloads stay in your vault; auditors verify commitments and proofs offline.
Provable Evidence
Support audits and disputes with tamper-evident records of agent actions — without promising conformity.
Independent Verification
No need to trust Sigigo blindly. Verify proofs with open tools.
Framework-aligned
Evidence patterns that map to SOX, HIPAA, PCI DSS, SEC, EU Data Act, and EU AI Act Article 12 high-risk logging.
Designed for LLMs
Native ai_act.* events for RAG context, tool execution, and multi-step agent traces.
Developer-Friendly
Easy to adopt via clean APIs and robust SDKs at the inference boundary.
Privacy First
Private Commitment Mode by default — witness without holding prompts or PII.
Frequently Asked Questions
Everything you need to know about how Sigigo turns logs into cryptographic proof.
Is Sigigo a logging or SIEM tool?
No. Sigigo is evidence infrastructure—focused on cryptographic proof and independent verification, not log storage or alerting.
We already have logs and audit trails. Why do we need this?
Traditional logs can be modified or deleted. Sigigo provides cryptographic proof—evidence that can be independently verified.
Does Sigigo store my sensitive data on-chain?
No. Only cryptographic proofs and hashes are anchored; your data remains private.
Can I verify evidence without trusting Sigigo?
Yes. Anyone can independently verify proofs and anchors using open tools.
Isn't blockchain too slow or expensive?
Sigigo only anchors proofs, not full data, keeping costs and latency low while preserving security.
Is this only for AI?
No. Sigigo works for any application, workflow, or system where provable evidence is needed. AI and agents are the primary market; frameworks like the EU AI Act are one way buyers often find us.
Is Sigigo only an EU AI Act tool?
No. We are evidence infrastructure: prove what your software did, independently. Article 12 high-risk logging is an important EU use case — not our whole product.
Every important digital decision should be provable.
Start building with the evidence infrastructure for the AI era today.