
AI that survives contact with operations.
Red Barn Innovations builds AI where it actually has to perform — governed data, real deployment constraints, human-in-the-loop control, and measurable operating value. And we bring rare depth to AI that's already running: when a multi-billion-dollar manufacturer's GPU machine-vision system was crashing across multiple production sites, they trusted us with read-only access to live production, and we diagnosed it remotely with zero operational impact — eliminating seven alternative causes and isolating a single root cause (duplicated GPU-runtime state) with a 98%-repeatable signature.
AI & Machine Learning
AI tied to governed data, deployment limits, and operating outcomes — engineered for uptime and auditability, not a prototype that never leaves the lab.
Outcomes
- Take AI from proof-of-concept to production — governed, monitored, and improvable, with human-in-the-loop control so it supports work instead of becoming unmanaged automation.
- Apply machine vision, prediction, classification, and LLM assistance where your data and users are actually ready for it.
- Diagnose and stabilize AI that's already in production — including forensic, root-cause analysis on live systems without taking them down.
Typical Deliverables
- LLM-assisted workflow and tooling design
- Machine vision and edge-inference systems
- Model evaluation, deployment architecture, and telemetry
- Production AI diagnostics and root-cause analysis
A Red Barn Innovations sister venture
AI does not need more content. It needs authority.
That's the premise behind ManovIQ — the sister venture our production-AI work pointed us toward: giving AI the facts your company has actually approved, not search results. It's early. Here's a first look.
