AI Engineering — ITES since 1999

PRODUCTION-GRADE AI. NOT PROTOTYPES.

Founders come to us with a model that works in a notebook and a board that wants it in production. We close that gap — twenty-seven years of enterprise engineering, pointed at your MVP.

The fixed-scope pilot

Week 1 discovery to Week 12 investor-ready. Defined deliverables, defined price, no open-ended retainer.

12 weeks to
Series A ready
27+
Years in ITES
500+
Enterprise clients
7
AI industry verticals
99.9%
Platform uptime
[ 01 — For founders ]

WHAT YOU ACTUALLY
GET FROM US

Seven things founders hire us for. Every one exists because a client asked for it before you did.

01

FRACTIONAL CTO

Technical leadership without the full-time cost or the equity conversation. In your standups, your architecture reviews, your investor calls.

02

MVP IN WEEKS

Prototype to production in weeks, not months. Core model deployed, API live, demo-ready — while the market still cares.

03

INVESTOR-READY PACKAGE

Architecture docs, scalability proof, technical due-diligence prep. Finished before the term sheet asks for it.

04

DATA STRATEGY FROM SCRATCH

Collection, labeling, pipeline architecture. Most AI failures are data failures — we build that layer once, properly.

05

FIXED-SCOPE PILOT

A defined deliverable at a defined price. You know what you are buying before you sign, and when it lands.

06

27 YEARS BEHIND A YOUNG TEAM

Enterprise ITES rigor on a startup clock. Review gates and rollback discipline, without the enterprise pace.

07

PRODUCTION-GRADE, NOT DEMOS

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 call
[ 02 — Industries ]

SEVEN VERTICALS
WE ENGINEER

Each one has shipped systems behind it. Pick a vertical, or let it run.

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[ 03 — Services ]

FIVE STAGES.
A THROUGH E.

Take one stage or the whole sequence. Most founders start at Audit and stay through Evolution.

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[ 04 — Engagement ]

TWELVE WEEKS,
START TO TERM SHEET

The typical startup engagement. Dates are commitments, not estimates.

W1

DISCOVERY & ARCHITECTURE

Scope locked, data audited, stack decided. You leave week one knowing what is being built.

W4

MVP LAUNCH

Core model deployed, API live, demo-ready. Something real to put in front of users.

W8

INVESTOR-READY PACKAGE

Scale architecture, metrics dashboard, technical documentation. The pack a diligence team asks for.

W12

SERIES A SUPPORT

Diligence prep, growth scaling, team ramp. We hand over to the engineers you hired.

[ 05 — About LABXS ]

TWENTY-SEVEN YEARS OF
ENGINEERING DISCIPLINE

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.

Bengaluru Engineering Audit · Brainstorm · Consultancy · Development · Evolution
Dubai Corporate Finance · Governance · contracting entity
Sydney & Nashville Client-facing Marketing · Support · your timezone cover
Founded1999
Enterprise clients delivered500+
AI verticals in production7
Contracted platform uptime99.9%
Typical MVP to production4 weeks
Incident response24 / 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.

REPLY INOne business day, from a person who can answer technically
FIRST CALLForty-five minutes, free, no deck
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