The reality layer for autonomous AI

Agents act.
Reality decides.

A successful tool call is only half the story. Varqo independently verifies the resulting state before the next consequential action continues.

Watch the proof Build with us

Technical POC · Exploring design partnerships

01 / ACTION → OBSERVATION
Provider responseAction completed
varqoINDEPENDENT VERIFICATION
Observed realityResource still off
Dependent actionHOLD
Animated illustration · no live provider connection
Controlled live proof across
DigitalOceanMicrosoft AzureAWS CodeBuildTool-using AI agent
Explore the evidence
One integrity loop

More autonomy.
Grounded in reality.

Know what the workflow depends on. Verify what actually happened. Let evidence decide what comes next.

01

Know

Understand the claims, context, and dependencies.

Product direction 02

Verify

Read authoritative state independently.

Live proof 03

Control

Allow, hold, or block the dependent action.

Scoped live gate 04

Recover

Resume pending proof after a local restart.

Local lab 05

Prove

Preserve the evidence behind the decision.

Scoped implementation

The full loop is the product direction. Generic recovery, memory integrity, and broad cross-system enforcement remain open work.

Varqo in action

See the moment
proof changes the outcome.

Replay three control paths already exercised against real providers and a real tool using AI agent. The traces preserve the decision sequence while removing infrastructure identifiers and sensitive runtime data.

Recorded live experiments · curated playback, not a live connection
Recorded trace

Provider success. Workflow held.

DigitalOcean · controlled live resource state mismatch

LIVE VALIDATED
Condensed, sanitized experiment sequences. Playback timing is illustrative; recorded measurements are labeled. See the technical evidence →
Now in the local lab

Make the failure
visible.

Start a workflow. Inspect what the provider said and what Varqo independently observed. Understand exactly why the next step was held, blocked, or released.

  • Five fixed scenarios in the local console
  • Saved runs and projected evidence export
  • Resume captured proof without repeating the write
Explore the local lab

Real kernel. Synthetic provider. Local evaluation only.

01 / THE OUTCOME GAPIllustration
Provider responsecompleted
Required stateactive
Observed stateoffHOLD
Action completed. Required state not proven.
1 provider write · 0 dependent effects
Explore the five scenarios
Keep exploring 01 / WHY

The problem

Why authorization and successful tool responses are not enough for autonomous execution.

Explore the integrity gap → 02 / HOW

How Varqo works

From execution context to independent proof, consequence aware control, verified recovery, and evidence.

See the control loop → 03 / PROOF

Technical evidence

Live provider proofs, controlled agent gating, safe evidence persistence, and failure path testing.

Review the evidence →
Design partnership

Where would you hesitate to let an AI agent operate alone?

Bring us one consequential workflow. We want to map the facts, states, and dependencies that must be proven before your agent can safely continue.

Talk to Varqo