Seven things founders hire us for. Every one exists because a client asked for it before you did.
Technical leadership without the full-time cost or the equity conversation. In your standups, your architecture reviews, your investor calls.
Prototype to production in weeks, not months. Core model deployed, API live, demo-ready — while the market still cares.
Architecture docs, scalability proof, technical due-diligence prep. Finished before the term sheet asks for it.
Collection, labeling, pipeline architecture. Most AI failures are data failures — we build that layer once, properly.
A defined deliverable at a defined price. You know what you are buying before you sign, and when it lands.
Enterprise ITES rigor on a startup clock. Review gates and rollback discipline, without the enterprise pace.
We don't bolt AI onto problems. Monitoring, drift detection, retraining triggers and an SLA ship with the model.
Not sure which of these you need? That is the first conversation, and it is free.
Book the callEach one has shipped systems behind it. Pick a vertical, or let it run.
Take one stage or the whole sequence. Most founders start at Audit and stay through Evolution.
The typical startup engagement. Dates are commitments, not estimates.
Scope locked, data audited, stack decided. You leave week one knowing what is being built.
Core model deployed, API live, demo-ready. Something real to put in front of users.
Scale architecture, metrics dashboard, technical documentation. The pack a diligence team asks for.
Diligence prep, growth scaling, team ramp. We hand over to the engineers you hired.
Founded in 1999, LABXS started out running back-office ITES operations for enterprises that could not afford a mistake. That is where the discipline comes from: review gates, rollback plans, uptime you can put in a contract.
Today we engineer production AI systems across seven verticals — and increasingly for founders who need that same rigour on a much faster clock. We don't bolt AI onto problems. We engineer solutions from the ground up.
| Founded | 1999 |
| Enterprise clients delivered | 500+ |
| AI verticals in production | 7 |
| Contracted platform uptime | 99.9% |
| Typical MVP to production | 4 weeks |
| Incident response | 24 / 7 SLA |
WE DON'T BOLT AI ONTO PROBLEMS.
We engineer from the ground up — and we stay on after launch, because a model that shipped is not a model that works.