AI Failure Mode Analysis
Anticipate defects and waste in models, agents, and evals — with stable IDs across releases and re-clusterings.
SALT Reliability · AIR · Early access 2026
The reliability platform for the AI era.
The future of AI reliability and efficiency management. AIR applies proven failure analysis, incident discipline, and corrective action to AI systems already sitting in critical operations — with evidence an auditor can read.
Join the waitlist
We'll notify you before launch.
What is AIR
AI reliability and efficiency management — as a product.
AI systems today are often deployed without a structured reliability record — no durable failure modes, no incident discipline built for models and agents, and no audit chain minted from the work itself. AIR closes that gap for the teams that operate them.
AI Incident Management
Capture what failed, drive root cause, and close with a verified fix — FRACAS discipline for AI systems.
TEVV & audit evidence
Mint the audit chain from the work of operating the system — NIST AI RMF, SP 800-53, DoD Responsible AI.
Efficiency under control
Track cost, drift, retries, and out-of-bound spend alongside reliability — so AI stays useful and accountable.
The road ahead
The future of AI reliability.
As AI moves into defense, aerospace, medical, and industrial operations, reliability and efficiency stop being optional — they become how responsible organizations deploy.
Reliability becomes table stakes.
Just as no manufacturer ships a jet engine without failure analysis, organizations will not deploy AI without a structured reliability record.
Governance from the work itself.
Documents about AI are not enough. AIR produces evidence from operating the system — readable by an auditor, useful to an engineer.
One discipline across every AI system.
From copilots to mission-critical agents, teams share a language for risk, failure, corrective action, and continuous improvement.
See AIR in action.
Explore the live product demo, then request early access for founding pricing and direct input into the roadmap.