AI & ML

A demo takes a weekend. Keeping a model useful for a year takes evaluation, guardrails and someone on call. That is the part we build.

4 weeks

To a go / no-go call

Week 1

Evaluation harness

from $18k / mo

Sprint team

What we build

Four shapes this work usually takes. Most engagements are one of them, or two that grew together.

Forecasting

Demand, capacity and cash. Retrained on a schedule, monitored for drift, and honest about its confidence interval.

Document understanding

Intake, extraction and classification for the paperwork a team currently retypes by hand — with a review queue for anything it is unsure about.

Copilots & assistants

Scoped to one job, grounded in your data, and measured on task completion rather than vibes.

Search & retrieval

Semantic search over your own corpus, with the retrieval quality measured separately from the generation quality.

How we approach it

The three things we will not negotiate away, because they are what keeps the build from unravelling later.

01

Evaluation harness first

Scored test sets before a single prompt ships. Without them you cannot tell a regression from a bad day, and every change becomes an argument.

02

Human in the loop where it counts

Review queues on anything irreversible. Automation earns its autonomy by clearing a bar you set.

03

Model-agnostic by design

Providers change pricing and deprecate versions. Swapping one is a config change, not a rewrite.

What we work with

The specifics, so you can tell in ten seconds whether we cover what you need.

AI automation

AI automation workflow automation document processing data extraction chatbots & assistants email & ticket triage back-office automation

Computer vision

computer vision image & video analysis object detection quality inspection OCR & scanning defect detection

Prediction & analytics

demand forecasting predictive analytics predictive maintenance fraud & anomaly detection recommendation engines customer churn prediction

What we reach for

From the work

The harness is why it still works

A claims team was retyping documents by hand. The model was the easy part — the evaluation harness and review queue around it are why it is still running fourteen months later.

See selected work →

97.4%

Field accuracy

Questions we get

What if the pilot does not work?

Then we say so at the week-four go / no-go call and you stop. You keep the evaluation harness and the written findings. We would rather lose the build than ship something that quietly degrades.

Do you train on our data?

No. Your content is never used to train anything, by us or by a provider — we configure that explicitly and it goes in the contract.

What do you mean by AI automation?

Taking a task a person does by hand many times a day — reading a document, sorting a request, answering the same question — and having software do the routine cases while a person handles the rest. The gain is usually in the routing and the review queue, not in the model.

Do you do computer vision?

Yes: image and video analysis, object detection, OCR and quality inspection. Typical jobs are reading labels or documents, counting things, and spotting defects on a line. Where a camera and good lighting can be arranged, accuracy tends to be far higher than people expect.

Can you build a chatbot that actually knows about our business?

Yes — grounded in your own documents and systems rather than general knowledge, with citations so an answer can be checked. We scope it to a defined job and measure whether it completes that job, because an assistant that is right most of the time about everything is worse than one that is reliable about something.

Can you run it on our own servers?

Yes, using open models hosted on your infrastructure, for cases where the data cannot leave. It removes a data-transfer problem and adds an operations one, and we will be straight with you about that trade-off before you commit.

Other things we do

All six services →

Tell us what’s stuck.

Thirty minutes, no deck. You’ll get an honest read on scope, cost and whether we’re the right team for ai & ml.

Book a call →

or email hello@bytiko.com