Service
Data science
ML models, computer vision, NLP and analysis that answer the business question — not a model for its own sake.
ML MODELSCOMPUTER VISIONNLPDATA ANALYSIS
What's included
Scope you can hold us to
01
Question framing before model work — what decision this answers
02
ML models you can explain to operators, not only to data teams
03
Computer vision for images, documents and quality inspection
04
NLP for classification, extraction, search and support triage
05
Analysis, dashboards and alerts wired to the decisions they support
06
Monitoring for drift, freshness and silent failures — plus docs for the next hire
Process
How we deliver data science
- 01Name the decisionThe question, the owner and the cost of being wrong — written first.
- 02Fix the pipesSources, labels and definitions. Models on dirty inputs are theatre.
- 03Model and validateBaselines before cleverness — whether it's tabular ML, vision or NLP.
- 04Put it in the loopAPIs, dashboards or alerts where the decision actually happens.
Related projects
All work →Proof in production
Do you build models or just dashboards?
Both — but only when the decision is clear. Many briefs need trustworthy analysis first; we say which before any ML work.
When do you use computer vision or NLP?
When the signal lives in images, PDFs or unstructured text — quality checks, document extraction, ticket triage, search. We prove lift against a simple baseline first.
Can you work with our existing warehouse?
Yes. We prefer extending what you have over a greenfield rebuild unless the foundations are the bottleneck.
Next step
Not sure this is the right service? Ask ZAC.
Three minutes with ZAC Consultant gets you a recommended solution, a feature list, a timeline and a cost band. Then decide whether you want to talk to us.
- 01Describe the problem
- 02Get your roadmap
- 03Book a consultation