Early Access — Launching 2026

The first AI-native platform
for reliability engineering.

Two purpose-built platforms spanning hardware reliability and AI governance — the first unified reliability stack.

Join the waitlist

We'll notify you before launch.

See the platform in action.

Every team doing serious reliability work is fighting their tools.

The processes exist. The standards exist. The software to run them properly doesn't.

FMEA/FMECA lives in spreadsheets.

Reliability teams still manage failure modes in Excel, route FRACAS in email chains, and track corrective actions in ticketing tools never designed for the job. A process from 1960 running a 2026 program.

AI systems have no reliability discipline.

Organizations deploying AI have no structured failure mode analysis, no incident tracking, and no TEVV-compliant governance. When your AI system fails, there is no FRACAS. There is just chaos — and liability.

Maintenance data never reaches the reliability engineer.

Work orders close, parts get replaced, failures recur — and none of it crosses the gap to the engineer studying why. The CMMS and the reliability tool are two separate worlds. FIELD closes the loop.

Legacy tools built for compliance theater.

Existing FMEA/FMECA/FRACAS software costs six figures, requires on-prem installation, and has barely changed since 2005. Engineers avoid it. The failure data you need is never there when it matters.

CMMS, FMEA/FMECA, FRACAS, CAPA.
One unified stack.

Two platforms sharing a single data model — maintenance execution and hardware reliability unified in one, AI governance in the other.

Hardware Reliability Platform

FMEA/FMECA · FRACAS · CAPA · FIELD

AI-native reliability engineering for hardware teams — from the maintenance floor to the engineering desk. Includes FIELD, the maintenance-execution module that closes the loop between field work and reliability analysis.

AI-assisted failure mode generation from component descriptions

Live FRACAS — structured incident capture, analysis, and closure

Automated CAPA workflows with accountability and full audit trails

AI-driven RPN scoring and risk prioritization

Air-gap-capable, defense on-prem deployment path

Replaces legacy tools with modern, collaborative UX

AIR Platform

AI Failure Mode Analysis · AI Incident Mgmt

The first platform built around the DoD's Responsible AI tenets — applying proven hardware FMEA/FMECA and FRACAS disciplines to AI systems.

AI Failure Mode Analysis — FMEA/FMECA discipline applied to AI/ML systems

AI Incident Management — FRACAS for your AI deployments

TEVV-compliant test, evaluation, verify and validate workflows

NIST AI RMF + SP 800-53 control mapping built in

Built on DoD Responsible AI tenets from day one

One-click audit-ready compliance documentation exports

Not a legacy tool.
Not a chatbot wrapper.

AI-native, not AI-bolted-on.

Built from scratch for AI-assisted reliability workflows. Not a legacy tool with a chatbot stapled to it.

Defense DNA.

Designed for the rigor of aerospace and defense from day one. ITAR-compatible path, air-gap-capable, audit-ready.

FIELD closes the loop.

Every corrective work order auto-creates a FRACAS incident. Every FMEA recommendation auto-generates a PM. Maintenance data and reliability analysis finally share one record.

One standard for hardware and AI.

The first suite that applies proven hardware reliability discipline — FMEA/FMECA, FRACAS — directly to AI system governance.

Built by engineers who lived the problem.

Enterprise software operations and defense reliability engineering — combined.

Curtis Bise

Co-Founder & Chief Executive Officer

Technology leader with 11+ years of enterprise-scale software experience. Previously rose from System Administrator to SVP of Integrated Services at GIACT — managing 100+ client integrations and a billing system that processed $50M annually. B.A.A.S., Computer Systems Networking, University of North Texas.

Focus

Revenue · GTM · Sales · Investor Relations · Operations

Nick Cobb

Co-Founder & Chief Reliability Officer

Reliability engineer with 8+ years in defense and aerospace. Stood up FRACAS programs and chaired Failure Review Boards at Raytheon Technologies and Bell Textron — supporting airborne targeting systems and military rotorcraft for U.S. Marine Corps programs. B.S., Aerospace Engineering, Texas A&M University.