Early Access — Launching 2026

The Reliability Platform
for the AI Era.

Two purpose-built platforms. One mission — making reliability engineering the default standard for every organization deploying AI or building hardware.

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The Problem

The Status Quo Is Broken.

Every team doing serious reliability work is fighting their own tools. We're fixing that.

Hardware Teams

FMEA 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 Deployers

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.

Both

Legacy Tools Built for Compliance Theater

Existing FMEA/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.

The Solution

Two Platforms. One Standard.

Purpose-built for the two domains where reliability matters most: hardware programs and AI deployments.

Hardware Reliability Platform

FMEA · FRACAS · CAPA

AI-native reliability engineering for hardware teams. Failure analysis, corrective action, and risk prioritization rebuilt for collaborative, AI-first workflows.

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 and FRACAS disciplines to AI systems.

AI Failure Mode Analysis — FMEA 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

Why SALT

Built Different.

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.

One Mission, Two Platforms

The first suite that treats hardware reliability and AI governance as two sides of the same engineering discipline.

The Team

Built by engineers who lived the problem.

A decade of enterprise software and a decade of defense reliability — combined into one team, one mission.

Curtis Bise

Co-Founder & Chief Executive Officer

Technology leader with 11+ years of enterprise-scale software experience. Currently Head of Customer Operations & CRM Technology at Inbenta, leading a globally distributed team of 25+ reporting directly to the CEO. 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. Performed reliability predictions per defense acquisition requirements and MIL-STD-810G qualification testing. B.S., Aerospace Engineering, Texas A&M University.