Built by Operators, For Operators
We've spent decades on plant floors watching manufacturers drown in sensor data while still running reactive maintenance. We built SplintAI to fix that.
Operators Who Got Tired of Waiting
We didn't come from Silicon Valley. We came from plant floors, distribution centers, and operations meetings where the same problems kept showing up.
David
Co-Founder & CTO
15+ years building enterprise manufacturing systems. Watched too many "digital transformation" projects fail because they were built by consultants who'd never run a production line.
Mike
Co-Founder & CEO
Scaled manufacturing and logistics operations across multiple facilities. Knows the difference between software that demos well and software that actually works at 3am when a line goes down.
Industry Advisory Board
We work closely with active food processing operations leaders who provide real-world insights into the competitive pressures facing mid-market processors. They remain confidential due to their current industry roles, but their fingerprints are on every feature we build.
Your Enterprise Competitors Have an Unfair Advantage
Large processors like Taylor Farms run 12-15% labor costs through predictive AI and automation. They see equipment failures days before they happen. They optimize every changeover. They never get caught off-guard.
Mid-market manufacturers? They're stuck with the same sensor data but no way to turn it into action. Enterprise solutions cost $50K+ per line and take 6-12 months to implement. So they run reactive—and lose ground every quarter.
We built SplintAI to level that playing field.
Mid-Market Reality
20-26% labor costs, reactive maintenance, losing margin to larger competitors
Enterprise Barrier
$15K-50K per line, 6-12 month implementations, ongoing consultant fees
SplintAI Solution
Enterprise AI at mid-market economics, deployed in weeks, not months
How We're Different
Not another monitoring dashboard. A fundamentally different architecture built for how manufacturing actually works.
Edge-First Architecture
Process data where it's generated. No cloud latency, no middleware costs, no data leaving your facility unless you want it to.
Mid-Market Economics
Enterprise-grade capabilities without enterprise pricing. Built for manufacturers doing $50M-$500M who've been priced out of predictive AI.
Operator-Built
Every feature starts with real operational challenges. We don't guess at problems—we've lived them on plant floors.
Weeks, Not Months
Go live in 2-4 weeks, not 6-12 months. Our direct sensor integration eliminates the implementation complexity.
Ready to Stop Playing Defense?
We're partnering with select mid-market manufacturers who are tired of watching enterprise competitors pull ahead. Limited early access spots available.