Most AI products fail in production.
We make sure yours doesn't.

Built by engineers, for engineering teams. We help AI teams move from "it works in the demo" to "it works in production" — through evaluation, retrieval design, and the unglamorous work of making LLMs behave.

SERVICES

Three ways to make your AI production-ready.

Production Readiness Audit

Two weeks. We tear apart your LLM system end-to-end — retrieval, generation, evaluation, guardrails — and deliver a prioritized fix roadmap your team can execute.

Evaluation Infrastructure

Four to six weeks. We build the evaluation pipeline your team should have had on day one. From hallucination detection to regression testing, calibrated to your domain.

Launch Readiness Review

One week. Independent pre-launch review for AI features going to real users. We find what your internal team has stopped seeing.

APPROACH

How we work.

  1. 01

    Reproduce the failure first

    Before any recommendation, we reproduce your hallucination cases in a controlled environment. No fix gets proposed without a failing test.

  2. 02

    Measure, don't guess

    We replace vibes-based quality checks with measurable evaluation. If we can't quantify the improvement, we don't claim one.

  3. 03

    Build with your team, not around them

    Your engineers are in every session. Our job is to make them stronger, not to create dependency on us.

  4. 04

    Ship the boring parts

    Audit trails, regression suites, fallback policies. The unglamorous infrastructure that separates demo-grade AI from production-grade AI.

ABOUT

Engineer-led. Production-tested.
Built for teams that actually ship.

BartsAI Consulting was founded by a senior engineering leader from production-scale AI/fintech. We do consulting the way we wish vendors had done it for us: opinionated, technical, with skin in the game.

We don't run AI strategy workshops. We don't deliver slide decks about "transformation." We help engineering teams ship LLM products that don't embarrass them in production — and we measure our work by whether your incident rate goes down, not by hours billed.

Based in Singapore. Working globally.

CONTACT

Tell us where your AI is failing.

The fastest way to start: send us a concrete failure case. We'll respond with how we'd approach it.