We build private AI for the enterprise workflows that cannot go to the cloud.
Enterprise AI tools were built for horizontal productivity — documents that can move freely, workflows that tolerate some inaccuracy, data that can leave the building. We build for the other category: regulated, sensitive, document-heavy operations where control, auditability, and data sovereignty are requirements, not preferences.
Massy, France
Île-de-France
Rust · Python · TypeScript
Core stack
Document workflow automation
Primary focus
Design partner engagements open
Q2 2026
What we believe
Four things we think are true about enterprise AI.
Most enterprise AI never reaches production.
The pattern is well-documented: impressive demos, pilots that stall at security review, deployments that require months of consultant engagement to operate. The gap between enterprise AI's potential and its actual operational impact is not a model quality problem — it is an infrastructure, governance, and fit problem. We are building to close that gap.
The deployment model is the product.
Any team can access frontier AI models today. What regulated enterprises cannot access is a deployment model that meets their data residency, isolation, and auditability requirements out of the box. Security and compliance are not features — they are the architecture. That is the decision we optimized for from day one.
Start with one workflow, not with a vision.
We do not sell platforms or transformations. We identify one document-heavy workflow where the ROI is clear, deploy it in a defined timeline, and prove it in production. Expansion happens after we earn it — not before. This approach produces deployments that last.
Your data is not ours to touch.
We will never train on your data, share it, or access it without explicit authorization. This is an architectural constraint enforced at the deployment level — not a policy statement that changes with the next terms update. Your environment operates independently from ours.
How we work
A defined pilot. Direct access. Production outcomes.
We work with a small number of enterprise teams at a time. When we take on a deployment, you get direct access to the engineers who built it — not a customer success manager reading from a playbook. We sit in your security review. We answer your CISO's questions directly. We fix things when they break, because we are the ones who built them.
Every engagement starts with a scoped pilot: a defined workflow, a defined timeline, and agreed success criteria before any deployment begins. We do not start building until we agree on what success looks like.
We measure outcomes in production — documents processed, hours returned to your team, exceptions caught, audit trails completed. Not pilot completion rates or quarterly slides.
The team
Built by people who have seen the gap between enterprise AI pilots and production.
LuxoAI is a small, deliberate team. We keep it that way intentionally — every person has full context on everything we build. If you want to talk to the people who designed the architecture, you can. That is the point.
Founding team details are available directly — reach us at contact@luxoai.org. We are happy to introduce ourselves, walk you through our backgrounds, and explain why we built LuxoAI the way we did. Security reviews and direct founder conversations are part of how we work.
Ready to explore a pilot?
Tell us about your organization and the document workflow you want to address. We will respond within one business day with an honest assessment of fit.