InferinsicsAI
AI engineering & assurance
Inferinsics is an independent AI consultancy. We measure, engineer and vouch for machine-learning systems in production — and we leave behind evidence you can put in front of a board, an auditor, or a skeptical engineer.
The problem
Nothing crashes. No alert fires. The system returns a fluent, confident, plausible answer every single time, and the failures surface months later as a support backlog, a churned account, or a regulator's letter.
Almost every team we meet is shipping on impressions. They have a demo that impressed the executive team, a prompt nobody wants to touch, and no way to tell whether last week's change made things better or worse. The missing piece is rarely a better model. It is measurement — and the engineering discipline that measurement makes possible.
We build that discipline into your system and your team, then get out of the way.
Engagements usually start with the first and grow into the others. We take on the parts of the problem your team should not have to solve twice.
The eval harness that tells you the truth: task-grounded datasets drawn from your real traffic, graded rubrics that survive disagreement, and regression gates that run in CI on every change.
Retrieval, agents, tool use and fine-tuning taken from a prototype that demos well to a service that holds up under real load, real users and real cost ceilings.
An independent read before something goes live, or after something went wrong. We test the system adversarially and document what we find in language your risk function can use.
The handover is the deliverable. Your engineers learn the harness, own the review practice and keep the system honest long after the engagement closes.
Every engagement runs the same five stages in the same order, because skipping straight to the fix is how teams end up optimising something they never defined.
We agree what “working” means in your terms — not accuracy in the abstract, but the specific outcomes and failures that carry cost for your business — and what evidence would settle the question either way.
We put measurement in place before touching a single prompt or weight: a dataset from your real traffic, rubrics graded against human judgement, and a harness your team can run on demand.
We baseline the current system, sort the failures by what they actually cost you, and tell you plainly which are worth fixing and which you should accept. Some engagements stop here, and that is a fine outcome.
We work the list in priority order — retrieval, prompts, routing, tuning, architecture — with every change gated on the harness, so improvement is demonstrated rather than asserted.
You keep the harness, the datasets, the documentation and the working knowledge. The test of a good engagement is that your team can run the next one without us.
Fixed scope and fixed fee wherever the work allows it. We would rather tell you the engagement is unnecessary than sell you a longer one.
A short, independent assessment of a system you have already built. We instrument it, baseline it, and hand you a written verdict with a ranked list of what to do next.
We embed with your team and ship alongside them — writing code, reviewing designs, and raising the floor of the whole system while it goes to production.
A retained line to call when the decision is expensive and reversible only at cost: model selection, architecture review, vendor diligence, or a launch that needs a second opinion.
We reply to every serious enquiry within two working days, usually with questions before a proposal. First conversations are free and frequently end with us saying you do not need us yet.