Let your AI agent read and diagnose your car over an OBD-II adapter or virtual car
Stage
MVP
Not given
Founded
Not given
Not given
Based in
US
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Pricing model
Contact for pricing
Open source
Pricing
Per-execution pricing: one fee per execution that returns proof, charged only when proof comes back. Failed or cancelled runs cost nothing. Planning and approvals are free.
Not given
Key features
Boundary approval system for controlled execution
Checkpoint-based resumable execution
Verifiable proof of completion
Composable proof for multi-agent workflows
Per-execution pricing model
Integration with multiple agent frameworks
Reads error codes and sensor data from vehicles via OBD-II
Works with Claude Code, Codex and any AI agent
Virtual cars with real diagnostic problems for testing
Fleet management for cranes, excavators, generators and trucks
Read-only by default with explicit user control
Lap timing and race ECU data collection for motorsport
Car-to-car messaging through Agent Intercom
What makes it different
Pay only for verified results, not for attempts or planning
Human-approved boundaries ensure agent actions stay within limits
Interruptible checkpoints allow pausing and resuming executions
Proof is built into results for auditability and composability
Works with any AI agent that understands prompts
Supports both real vehicles and virtual simulation environments
Handles more than just cars: equipment, generators, and commercial fleets
Completely open source under MIT license
Built-in safety prevents access to critical systems like brakes and steering
Kairos
car-use