Engage
Three ways to start, no ambiguous "AI project" in between.
Most common
Fixed-scope build
A single model or pipeline, spec'd, quoted in man-days and delivered on a fixed timeline. Ends with full source, model and documentation handover.
Typical: 8–14 weeks, quoted after auditManaged AI product
We keep operating and retraining the deployed system post-launch under an SLA — for teams that want the build without hiring an ML ops function.
Quoted as a monthly retainerAdvisory & feasibility audit
A short, paid engagement to assess data readiness and realistic ROI before committing to a build — the output is a go/no-go spec, not a sales deck.
Typical: 1–2 weeks
How it runs
For international clients specifically
Engineering pods overlap US, UK/EU and APAC working hours. Every milestone ships with documentation, so delivery never depends on reaching one person at one hour of one time zone.
Tell us what the model needs to decide.
A short note on the problem, the data you have, and the industry — we'll reply with what a feasibility audit would look like.
Email
kinetixz.hq@gmail.com