cantbeat.ai Start a project

AI consultancy · deterministic systems

Same input.
Same output.
Every time.

Most AI projects stall in the gap between a demo that impresses and a system you can put your name on. We close that gap. cantbeat.ai designs and builds AI tools that behave like software: constrained, versioned, tested, and repeatable.

Start a project See what we build
  • Typed contractsEvery output has a schema
  • Regression gatesNo eval, no ship
  • Audit trailsEvery run is reproducible
TYPICAL LLM FEATURE input model answer A answer B answer C 3 runs · 3 answers · nothing to test against CANTBEAT PIPELINE input model pinned schema validate rules + evals 1 3 runs · 1 answer · a regression breaks the build
Determinism is an architecture decision, not a temperature setting.

“It works most of the time” is not a specification.

01 / Why projects stall

The demo was never the hard part.

Probabilistic output is a feature in a chat window and a liability in a workflow. Three failures show up in almost every stalled AI project we get called into.

i

Unrepeatable results

The same request returns a different answer on Tuesday. Support can’t reproduce it, QA can’t file it, and nobody trusts the number on the screen.

ii

Silent drift

A model version, a prompt tweak, a retrieval change. Quality moves, and no one notices for six weeks, because there was never a baseline to move against.

iii

No ground truth

Without a labelled set and a pass/fail bar, “better” is a matter of opinion. Shipping becomes a debate instead of a build step.

02 / What we build

Tools with a defined answer.

We push everything that can be deterministic out of the model and into code, then constrain what’s left. The model does the part only a model can do, and nothing else.

Build

Deterministic AI tools

Structured output against a strict schema, pinned model versions, fixed pipelines, and a cache keyed on the exact input. Classification, extraction, routing, document processing, and internal tooling that returns a value your systems can actually branch on.

  • Schema contracts
  • Version pinning
  • Deterministic caching
  • Typed client
Measure

Evaluation harnesses

A golden dataset drawn from your real traffic, scored automatically, wired into CI. Every prompt change, model upgrade, and retrieval tweak arrives as a diff with a number attached, and a red build if it regresses.

  • Golden datasets
  • Automated scoring
  • CI regression gates
  • Drift alerts
Automate

Bounded agents & workflows

Agents that operate inside an explicit state machine, with a fixed tool surface, hard stop conditions, and a trace of every decision. Autonomy where it pays, rails everywhere else, and a log you can hand to an auditor.

  • State machines
  • Scoped tool access
  • Human checkpoints
  • Audit trails
Advise

Architecture review

An honest read on what you have: where the nondeterminism actually enters, what it is costing you, what to cut, and (often the most valuable answer) which parts of the problem should never have been given to a model in the first place.

  • Failure-mode audit
  • Cost & latency review
  • Build vs. buy
  • Team enablement

03 / How we work

Four steps, no mystery.

  1. 01

    Define the decision

    We start at the output, not the model. What exact decision does this tool make, what are the legal values, and who is accountable when it is wrong?

  2. 02

    Pin the contract

    Schema, model version, prompt, and retrieval set all become versioned artifacts in your repo. Nothing that affects the output lives outside source control.

  3. 03

    Build the harness first

    The eval set exists before the feature does. From day one, “is this better?” is a command you can run and a number you can read.

  4. 04

    Ship behind gates

    Into production with regression gates, monitoring on the metrics that matter, and a runbook. Then we hand it over. Your team owns it, not us.

04 / House rules

What we won’t do.

If it can be ordinary code, it does not go to a model.

No output without a schema. No schema without a validator.

No feature ships without an eval that can fail it.

No prompt lives outside version control.

No black-box handover. You get the repo, the tests and the docs.

No engagement we do not think will work. We will say so on the call.

05 / Get in touch

Tell us what has to be right every time.

Send a short note about the workflow and where it is currently unreliable. You will get a straight answer within two business days, including if we think you do not need us.

Direct

hello@cantbeat.ai

Worth including: the workflow, current volume, what “correct” means for it, and your deadline.

Email us