What it sells
Resilience software that keeps AI workloads running when hardware fails, cutting wasted GPU-hours.
Business model breakdown
Buyer: who owns the budget?
UnverifiedAI infrastructure / platform teams at neoclouds and AI model builders running large GPU clusters
Trigger: what makes them buy now?
Network link flaps, GPU errors and node failures restart jobs and waste thousands of GPU-hours; up to 40% of cluster time can be lost to communication bottlenecks (cites AMD).
Workflow: what inputs become what output?
Day 1 burn-in audits and cluster validation, Day 2 continuous monitoring with auto-remediation, plus stateful job failover (LinkPass, TorchPass) so training and inference jobs keep running through faults.
Economics: what it saves and how it charges
100% software sold to GPU fleet operators; value is recovered GPU-hours (LinkedIn cited as preventing tens of thousands of GPU-hours of downtime monthly) and a contractual "YOCO" guarantee against GPU waste in training.
Distribution: how it reaches customers
Direct, consultation-led: "Schedule a free consultation" and demo CTAs; no self-serve signup.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2026-10-05 | — | $31M | — | news.google.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.