Qubiq AI designs, builds and independently validates AI agents, vision systems and automation — so what works in the demo also works on the floor.
Start a projectHuman stays in the loopHigh-risk actions wait for sign-off.
ApprovePick one, or combine them. Every engagement ends with something running in production — and the evidence that it is safe to rely on.
Agents that read, decide and act across your email, documents and systems — with guardrails, audit trails and human approval where it matters.
Inspection models and independent testing for robots and warehouse automation — simulation before deployment, acceptance checks before go-live.
Clean pipelines, evaluation harnesses and models you can monitor — the unglamorous foundation that decides whether AI keeps working after launch.
Find the use cases worth doing, size the risk honestly, and set up the policies, controls and reviews your regulators and your board will ask about.
Most AI projects stall between the pilot and the production floor. We work backwards from the day it has to be reliable.
We define what “good” means — accuracy, latency, cost, failure modes — before writing a line of code, then test against it continuously.
Agents propose; people approve what carries risk. Every action is logged, explainable and reversible.
We can validate systems we did not build. A second pair of eyes before go-live is cheaper than an incident after it.
Map the workflow, the data and the risks. Agree the one metric that decides success.
1–2 weeksA thin, working slice on real data — enough to prove it works and learn where it doesn’t.
2–3 weeksEvals, red-teaming and, for physical systems, simulation and acceptance testing.
1–2 weeksRoll out with monitoring, fallbacks and a clear owner. Then keep improving.
OngoingTypical scenarios we work on. Detailed client stories are shared under NDA.
Simulated throughput and fault testing, plus a structured safety and acceptance review against your site rules.
Learn moreGrounded in your policies and systems, with clean hand-off to a human.
Learn moreInvoices, contracts and forms extracted, checked and routed automatically.
Learn moreDefect detection tuned on your parts, with confidence scores and a review queue for the edge cases.
Learn moreScoped, fixed-outcome engagements. No open-ended retainers unless you want one.
Find the use cases worth pursuing and know exactly what it takes.
One workflow, taken from prototype to a monitored production system.
A second opinion on an AI or robotic system before — or after — it goes live.
Don’t see yours? Send it through and we’ll answer in plain language.
No. We also validate systems built by others — vendors, in-house teams or off-the-shelf products — and give you a written, independent view of what’s safe to rely on.
Whatever fits the job: frontier LLMs, open-weight models, classic ML and vision. We stay vendor-neutral and design so you can swap models without rebuilding.
We work inside your environment where possible, minimise what leaves it, and agree data handling in writing up front. Nothing of yours is used to train third-party models.
Most pilots show a working slice on real data within three to four weeks. We’d rather show you something imperfect early than something polished late.
We hand over with monitoring, a runbook and trained owners. If you want us to stay on for tuning and new use cases, we can — but you’re never locked in.
Tell us about the workflow you’d like to improve. We’ll reply within one business day.
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