We partner with ambitious companies and PE-backed businesses to turn AI experiments into results that show up in the P&L. No open-ended engagements. No roadmaps that sit on a shelf.
You're losing ground to competitors with better demand forecasting, smarter pricing, and AI-powered personalization. You've tried tools. They didn't move the needle. We build the system underneath — and stay until it runs.
See what we do for e-commerce →Your LPs are asking about AI. Your portfolio companies are behind. You need EBITDA numbers, not another strategy deck. We start with one portfolio company, prove the impact in two weeks, and build from there.
See what we do for PE →That's not unusual. 95% of AI pilots fail to reach production. Not because the technology doesn't work — because the implementation model is broken.
You ran a proof of concept. It worked in demo. Then it stalled — waiting on data, IT bandwidth, or a business case nobody could write.
They delivered a roadmap. It was thorough. It didn't account for how your team actually works, your data reality, or your exit timeline.
You added Copilot. You tried a forecasting SaaS. Individual employees save time. The P&L doesn't feel it.
This is the gap we close.
Every engagement starts small, proves value fast, and earns the right to go deeper. You decide at each stage whether to continue.
Two weeks. Fixed price. We map your AI opportunity, identify the highest-impact use cases, and build a working proof of concept in your environment — not a sandbox.
We take the use cases that proved value and build them into production. Not a pilot. Not a hand-off. We stay embedded until it runs in your operation.
For companies ready to scale. We expand across your operation — or across your portfolio — with a repeatable playbook and embedded team.
Our founder built AI-powered e-commerce and supply chain systems at Amazon and Maersk — the kind of demand forecasting, inventory optimization, and operational intelligence that fast-growing companies have been trying to replicate with off-the-shelf tools. We know what these systems look like from the inside. We build them for companies that don't have Amazon's budget — but face the same competitive pressure.
We don't learn your business during the engagement. We already understand it.
We assess organizational readiness before we write a line of code. Adoption is part of the design.
We don't ship pilots. We ship working systems. The Sprint exists to prove it will work — then we build it for real.
LumaCogent AI is headquartered in Austin, Texas. We work with companies across Austin, Dallas, Houston, San Antonio, and beyond — and with PE firms and their portfolio companies nationwide.
The Discovery Sprint is designed to give you a clear answer — not to lock you in. If we don't show you a working proof of concept in your environment, the conversation ends there.