We build software for industries the market forgot to serve well.

AI-native platforms for persistent operational problems that everyone else walked past.

See what we're building ↓
Underserved industries
Others ignored
One platform
Replaces the entire stack
AI-native
Not a feature. The architecture.
Operator-built
Domain first. Code second.

What is an Algebra Problem?

An Algebra Problem is a persistent operational challenge that an underserved industry has accepted as the cost of doing business. Not because the problem is unsolvable. Because nobody thought it was worth solving properly.

We disagree.


Every product we build starts the same way — an operator living inside a broken system, paying too much for software that was never built for them, doing too much manually because nothing better existed. We find those problems. We build the solution from the inside out, with deep domain knowledge and AI-native architecture.

ThreadLead
Live

The decorated apparel industry runs on duct tape.

Decorated apparel shops — screen printers, embroiderers, custom decorators — have been running their businesses on three to five disconnected tools for twenty years. Paying $400–600 a month for software that doesn't share data.

ThreadLead replaces all of it. One AI-native platform — CRM, quoting, production scheduling, art management, and AI mockup generation — for $199 a month.

That's an Algebra Problem. Solved.

threadlead.app →
OmniPane
In Development

Laboratory compliance lives in spreadsheets.

ISO 17025 accredited laboratories manage compliance in spreadsheets, shared drives, and manual checklists. Audit preparation takes weeks. Gaps aren't discovered until an auditor finds them.

OmniPane is an AI compliance surveillance layer that monitors lab operations in real time, flags ISO 17025 gaps the moment they occur, and generates audit-ready reports on demand.

That's an Algebra Problem. Solving.

2027

John Kerns
John Kerns
Co-Founder

John brings the operator's perspective. He has run decorated apparel operations, managed ISO 17025 accredited laboratory compliance, and built businesses across multiple industries. Every product Algebra builds starts from a place of lived operational pain — not market research.

Daniel LeMay
Daniel LeMay
Co-Founder

Daniel builds the architecture. He designs AI-native platforms from first principles — not horizontal tools with vertical features bolted on. Every system he builds is purpose-built for the industry it serves, structured around the way operators actually work.

Two founders. Deep domain expertise plus technical depth.

Have an Algebra Problem?

If you're an operator living inside a broken system, an investor who recognizes what it means to build precisely in an underserved market, or someone who just wants to know what we're building next — we'd like to hear from you.

We read every submission.