Loading page
Model-serving APIs, AI backends, cloud deployment, monitoring, cost control and maintenance — for models we built and for models you already have that never made it out of a notebook.
A trained model is a file. Everything between that file and a business using it is engineering: an API in front of it, a queue when the load spikes, a cache so the same question is not paid for twice, a fallback when the provider is down, a log of what it was asked, and an alert when its answers start drifting away from what it was trained on.
This is the work that decides whether an AI project survives its first year, and it is the work that is missing when a data-science engagement ends with an impressive notebook and nothing in production. We take that notebook and make it a system.
Authenticated, rate-limited, queued endpoints that degrade gracefully instead of timing out.
Caching, batching and hard spend ceilings per tenant and per feature, reported in a dashboard.
Input distributions and prediction quality tracked continuously, with alerts before users notice.
Shadow and canary deployment with instant rollback — a model change is treated as a release.
Defined in version control and rebuildable from scratch, so the environment is not tribal knowledge.
Runbooks and training if you run it, or a support agreement with a defined response time if we do.
On your cloud account or ours, containerised, with the infrastructure defined in code so it can be rebuilt rather than remembered.
A frequent brief, and rarely a rewrite. The pattern is to put the AI behind an interface the existing application already understands, so the change is additive and reversible.
Models degrade, providers deprecate endpoints and change prices, and dependencies acquire vulnerabilities. Ongoing support is quoted as its own agreement with a defined response time, rather than left as an assumption that someone will look at it. Where you would rather run it yourselves, the handover includes the runbooks and we will train your team.
Straight answers, including the ones that rule us out.
The pages people read next, and the products that connect to this one.
AI-powered web and mobile applications, intelligent features inside existing systems, and custom AI solutions scoped against a decision your business actually makes.
Read moreCustom models for forecasting, classification, scoring, recommendation and anomaly detection — trained on your own history, evaluated against held-back data, and deployed where the prediction is acted on.
Read moreLLM integrations, retrieval-grounded assistants, internal copilots, customer chatbots and document intelligence — built so every answer can be traced back to the source it came from.
Read moreLooking for a developer, AI team, designer, marketing support or a technical partner? Tell us what you need.
Read moreDescribe your operation and we will come back with a written scope, a fixed price and a delivery date.