The 90% Problem: Why AI Finally Works for Heavy Industry

Industrial software failed for decades because 90% of problems are specialized ie custom stacks, unique workflows, zero tolerance for downtime. Horizontal SaaS can't handle this heterogeneity; Palantir could only serve giants with eight-figure budgets. Now AI changes the economics: coding tools slash customization costs, and agents automate work rather than assist it.

Nexxa.ai brings bespoke AI to the mid-market industrial backbone: six-figure contracts, forward deployed engineers, real ROI through workflow automation, not just insights.

The real unlock is integration. Industrial data lives in fragmented legacy systems: ERPs, MES platforms, Excel sheets, paper workflows. Pre-AI software demanded humans bridge these gaps. Now AI agents can unify, reason across, and act on this scattered information autonomously. This is "brownfield digitization": extracting value from existing infrastructure without rip-and-replace. The moat is trust. Industrial buyers purchase from teams who speak their language, understand their risk tolerance, and deliver with industrial-grade reliability. The winners won't be those with the best models, but those who best tailor raw AI capabilities to messy, high-stakes operational realities

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1. Research and Interview by Devansh, Slides by Chokmah LLC February 12 2026
9. Research and Interview by Devansh, Slides by Chokmah LLC, February 12 2026