Quantabase brings the people, engineering, intelligence, and execution to turn technology ambition into measurable business outcomes.
Most AI initiatives pause between a pilot everyone applauded and a system everyone can rely on. The blockers are rarely the model — they are the untested failure modes, the undocumented workflow, and the missing person who makes it run inside a real company. Closing that gap is our entire firm.
Integration, evaluation, guardrails and exception paths — built against your real systems, not a sandbox. We deploy engineers inside your team until it runs.
Every system deserves an independent challenge before people depend on it. Testing by reviewers outside the build team — before launch and continuously after — is how trust is earned.
AI answering clinical, legal or financial questions needs clinicians, lawyers and accountants reviewing it — found, verified, and empowered to challenge it.
Deploy, Assure and Operate are not departments — they are one flywheel. What we deploy, we test. What passes testing, we operate. What operations teaches us sharpens the next deployment — and every turn runs on experts who passed six gates to be there.
A stalled pilot, an untested agent, an unfillable role — each is a door into the same loop.
Milestones clear on passing evals, live integrations and signed findings — never on slides alone.
Month nine works better than week six — the loop has been learning your business the whole time.
Senior teams working inside your systems, beside your people — every milestone on the record, every outcome carried by a name you know.



Thirty minutes on your hardest workflow. You leave with a written range and a recommended door in — or an honest "not yet."
One workflow, a definition of done, named owners on both sides, and the evidence that will clear each milestone.
Something real in production — deliberately small, deliberately live. If a gate does not clear on evidence, the next milestone does not bill.
Independent evaluation against the written bar — run by people with no stake in the launch date, signed by named reviewers.
Monitoring for accuracy drift, cost and exceptions; quarterly re-testing; the next mission scoped from what the loop learned.
The entire firm on one screen. Every offer has a written scope, a named owner and an exit condition — and a thirty-minute working session in front of it that produces a written range before you commit to anything.
Mission Pods — a senior forward-deployed engineer plus a delivery lead, embedded in your team. One workflow, a written definition of done, first production ship inside two weeks.
Independent evaluation and red-teaming by people with no stake in your launch date — domain test sets built with named experts, findings ranked, reproducible and signed.
Monitoring for truth, not uptime: accuracy drift, cost per task, exceptions, tool-use failures — with human escalation paths and a named owner who knows your account in month nine.
We work across every industry — and package deepest where the stakes are highest. Each bundle wraps deployment, assurance and expert review around one high-value workflow, scoped and ready to start; whatever your sector, the same loop applies.
Talent solutions & professional servicesThe business we run ourselves. AI screening at volume with human sign-off, placements that bill the day a consultant starts, utilisation live by project.
Document-heavy operationsHigh-volume document work where a wrong answer has a cost. AI drafts; qualified reviewers approve; exceptions route to a person — by design, not as a fallback.
Regulated & high-stakes workflowsRegulated workflows and the evaluation evidence your risk committee actually asks for — named reviewers behind every judgement.
Automated screening can only see so much — real expertise shows in conversation. So our final gate is a live, unscripted session with a senior specialist in the same discipline: a working discussion of real problems, assessed by someone who has solved them.
That session produces a signed competency report you keep. It is what licenses the word verified in front of every engineer we deploy and every expert we put on a panel.
Referral, verified track record, targeted search. No open signup.
Role-specific, scored against a rubric — not a conversation.
Production work reviewed by a senior in the same discipline.
Unscripted, expert-led, identity-verified. The gate AI cannot sit behind.
An experienced consultant validates every match. No exceptions.
Delivery outcomes are counted, and they inform every future match.
Counted on Q-Base — the delivery platform behind every engagement, and the same technology we sell as a product — not claimed on a slide. Representative engagements, anonymised at client request; reference calls arranged under mutual NDA.


Five disconnected tools became one system. Placements now bill the day a consultant starts, and utilisation is live by project instead of reconstructed at month end.
Two weeks before launch, independent red-teaming surfaced high-severity failures the build team had no way to see — including one that leaked source documents on an indirect prompt.
A two-person pod took a document-intake workflow from mission brief to a production agent behind guardrails — every milestone cleared on evidence, visible to the client throughout.
BENGALURU · SINGAPORE · CLIENTS ACROSS EVERY TIME ZONE
Engineers, clinicians, lawyers, accountants and linguists who build and evaluate AI systems — paid at specialist rates, vetted once for many engagements, working remotely on real production problems.
The network · vetted once, engaged many timesShip integrations, agents and evaluation harnesses inside client environments — the fastest-growing engineering role in the market.
Evaluate clinical reasoning and safety behaviour on medical AI, with a clear mandate to challenge the model.
Evaluate reasoning where a wrong answer is expensive — contracts, compliance, reconciliation.
Evaluate AI in the languages your market actually speaks — domain-qualified, per-language scorecards.
Empowering global businesses
NAMPluxee
Thirty minutes with an operator. A scoped answer, a written range, and an honest opinion — including that you should wait, if that is what we think.