Independent AI verification & audit

Independent proof of what your AI actually did.

Scaffolde records what every model, agent, and workflow across your business was asked, did, and proved: Anthropic, OpenAI, Google, xAI, and open-source models. Attested independently. The grader can’t be the graded.

  • Tamper-evident records
  • Multi-provider
  • Independent attestation
Scaffolde Overview dashboard: independently verified runs, pass rate, and per-model mix across providers
Verifies AI work acrossAnthropic Claude·OpenAI GPT·Google Gemini·xAI Grok·Open-source modelsAgents · Skills · Workflows · Sessions · Learnings · Memories
How it works

Why the verifier has to be independent of the model.

Scaffolde sits outside the model vendors. It sets acceptance criteria before the work begins, then checks, evidences, and attests the result. The party proving the work has no stake in the model’s reputation.

Diagram: Scaffolde as the independent verification layer sitting between AI providers and the enterprise
1
Criteria set up front. Acceptance criteria are defined before the AI does the work. “Done” is decided independently, not after the fact.
2
Checked & evidenced. What the AI was asked, the actions it took, and what it produced are captured and verified against the criteria.
3
Independently attested. A party with no stake in the model’s reputation signs a tamper-evident proof you can open, export, and audit.
Read the full story
The flow

Verify → attest → prove → audit.

Four steps turn an AI run into a tamper-evident record anyone can check.

01 / VERIFY

Criteria, then check

Acceptance criteria are set before the AI does the work. When the run finishes, its ask, actions, and output are checked against those criteria.

02 / ATTEST

Independent signature

A party with no stake in the model signs the result, recording what was asked, what was done, and whether it passed.

03 / PROVE

Tamper-evident bundle

The action trace, evidence, and attestation are sealed into a SHA-256 proof bundle you can open, export, and verify.

04 / AUDIT

Reportable record

Every proof rolls up into a running, queryable record: pass rates, provider coverage, and full history for any auditor.

The proof

Every run is a tamper-evident record you can open.

Not a screenshot of a result. A record of how it was reached. Every proof contains five inspectable, exportable parts:

  • The original ask. The exact request the AI was given, captured verbatim.
  • The action trace. Every step the AI took: tools, calls, and intermediate work.
  • The proof bundle. Evidence checked against the up-front criteria, sealed and hashed.
  • The independent attestation. The signature of the party with no stake in the model.
  • The vendor boundary. Which provider and model ran. Recorded, never trusted to self-certify.
Independently attestedSHA-256 sealed
Session detail with verification proof: the original ask, action trace, proof bundle, independent attestation, and vendor boundary
What Scaffolde covers

One plane, every surface.

The grader can’t be the graded. That now spans your entire AI stack, not just a model’s output.

Agents

Which agents run where, what they're allowed to do, their pass rate, and what they're evaluating across the business.

Skills

Which skills were invoked, how often, their verified outcomes, and any drift from expected behavior.

Workflows

Multi-step pipelines with full run history. Every stage verified and evidenced.

Sessions

Every AI session as the unit of work. Each one inspectable and linked to its own attestation.

Tokens & spend

Tokens and cost by model, agent, project, and time. Usage and spend, verified and reportable.

Full model support

Every model you run: paid by subscription, by API, or fully open-source. Claude, GPT, Gemini, Grok, DeepSeek, Qwen, and more. Per-model pass rate and cost for all of them.

Learnings

What the system learned and promoted through its self-improvement loop, with full provenance.

Memories

What memories are stored, where they came from, and which runs referenced them.

Attestations

The tamper-evident proof records themselves: signed, sealed, and ready to put in front of an auditor.

The verification scoreboard

One scoreboard. Observability for everything your AI does.

Every model, agent, skill, workflow, session, learning, and memory, rolled up into one scoreboard you can report on. The numbers below are from the live demo dashboard.

24,815Verified runs (demo)
98.6%Pass rate (demo)
1.24BTokens verified (demo)
$48.2KSpend tracked (demo)
17 Models37 Agents116 Skills24 Workflows12.9K Sessions342 Learnings1.1K Memories
Scaffolde live verification view: real-time verified runs streaming across providers
Market & why now

The governance wave is arriving before the proof layer exists.

AI moved into regulated, high-stakes decisions faster than anyone built the means to verify it. The enforcement and the budgets are landing now. The independent proof layer is the missing piece.

Regulation is enforcing

The EU AI Act and a wave of sector rules now demand auditable evidence of how AI reached a decision. Not vendor assurances.

Governance budgets are funded

AI observability and governance has become a named line item. Enterprises are buying the means to prove their AI, not just run it.

Agents made it urgent

Autonomous agents now act across the business. The question shifted from whether the model gave a good answer to what every agent did, everywhere, and whether anyone can prove it.

No independent layer exists

Every current tool either belongs to a model vendor or grades the model with the model. The neutral party is an open lane.

Traction

A working product, not a deck.

The verification plane is live and inspectable today. The proof you’d show an investor is the same proof you’d show an auditor.

You can’t trust an AI’s word that it did the work. You can trust an independent, tamper-evident record of how it did the work.
The Scaffolde principle

See it live.

This isn’t a request-a-demo form. Open the real dashboard and inspect a live verification proof yourself.