Built by Operators, For Operators
We've spent decades inside multi-site food and beverage operations watching leadership drown in fragmented data while margin compounds out the door — and CI teams track millions in opportunities via spreadsheets. We built SplintAI to fix that.
Operators Who Got Tired of Waiting
We didn't come from generic AI tooling. We came from inside multi-site food operations, where the same fragmentation problem keeps showing up — data scattered across ERPs, HRIS, MES, and spreadsheets, and leadership unable to see the margin leaking between them.
David
Co-Founder & CTO · Data systems & semantic modeling
15+ years building data systems for multi-ERP manufacturers. Built semantic normalization models that turn multi-ERP chaos into a single source of truth. Watched too many "digital transformation" projects fail because they were built by consultants who'd never run a production line.
Mike
Founder & CEO · Supply chain, logistics & operations
Founder and CEO of Splint.AI. Brings two decades of supply chain and logistics leadership to the company, including building and operating his own logistics business serving manufacturers globally. That dual perspective — running an operations-dependent business while building Splint — keeps the platform grounded in the realities multi-site manufacturers face every day.
Extended Team and Partners
Our founding team is supported by:
- —Engineering partners specializing in AI/ML, data infrastructure, and semantic modeling
- —Industry advisors with decades of food manufacturing operations experience
- —AWS Partner Network for enterprise-grade cloud infrastructure
- —Select design-partner customers shaping the platform roadmap
Why AI-First Matters for Multi-Site Operations
Modern multi-site operations generate more data than any human team can analyze. The margin gaps — between sites, across SKUs, across labor categories — are hiding in that data, but traditional BI tools need analysts to find them, and analysts can't keep up.
AI can. SplintAI's autonomous AI engine runs continuously across every system you already own, discovering margin opportunities and synthesizing them into executive-ready insights. Every week. Without dashboards. Without analysts.
That's the shift: from reactive analysis to autonomous intelligence.
The Problem
Operational data lives in silos across ERPs, workforce platforms, MES systems, and spreadsheets
The Gap
Traditional BI tools require analysts to find insights. Analysts can't keep up with the data volume.
The SplintAI Approach
Autonomous AI that runs continuously across every system, delivering weekly intelligence without dashboards
How We're Different
Not another dashboard on top of your ERP. A fundamentally different architecture built for how multi-site food manufacturing actually works.
Autonomous AI Engine
AI that runs continuously across every system you already own. Discovers margin gaps, synthesizes weekly executive briefs, predicts initiative trajectory, and prescribes ranked actions — purpose-built for multi-site food and beverage manufacturing.
Modern AI Architecture
Autonomous AI engine that discovers, synthesizes, predicts, and prescribes. Built for multi-site operations from emerging regional processors to national enterprise brands.
Operator-Built
Every feature starts with real margin intelligence and CI tracking challenges. We don't guess at problems—we've lived them running multi-facility operations.
Weeks, Not Months
Go live in 2-4 weeks, not 6-12 months. ERP connector setup and semantic model configuration eliminate the implementation complexity.
Ready to Move from Reactive Analysis to Autonomous AI?
We're partnering with select multi-site manufacturers ready to put AI to work on margin. Limited early access spots available.