AI Development Services.
End-to-end AI systems, from data to deployment.
Turn a napkin idea into a production AI system, with engineering review at the gates agreed in your proposal.
About AI Development Services
Most AI projects die between the notebook and the deploy button. We ship them past it.
AI Development Services is our end-to-end offering: from problem framing and data audit through model selection, evaluation, deployment, and ongoing monitoring, run by specialised agents and signed off by senior engineers.
We take you from "we think AI could help here" to a live system your team runs, with the retrieval, guardrails, telemetry, and rollback affordances a real production surface requires.
Every model, every prompt, every eval set is versioned. Every irreversible action is signed by a person. The system you ship is the system you can audit, roll back, and hand to a new engineer without a call.
Project deliverables
What we can deliver.
These are possible deliverables for this service. Your statement of work defines the selected scope, price, milestones, acceptance checks and responsible reviewers.
- 01Production AI system, deployed on your infrastructure
- 02Full evaluation suite with regression baselines
- 03Prompt & model registry, versioned end-to-end
- 04Observability: latency, cost, quality, drift
- 05Rollback and kill-switch tooling
- 06Runbooks, handover docs and agreed launch support
Business use cases
Where AI Development Services fits.
Explore practical applications of AI Development Services and the workflows each can support. We agree the implementation scope around your users, systems and priorities.
Internal copilot
A retrieval-grounded assistant on your knowledge base, gated to your SSO, with per-team eval sets.
Decision support
Structured-output agents that draft, score, and route decisions with a human sign-off at the boundary.
Content workflows
Multi-step pipelines that ingest, transform, evaluate, and publish, with an audit trail per artefact.
Technical approach
Capabilities your project needs.
We select tools around your requirements, existing systems and operational constraints. These capabilities guide the architecture and implementation.
- Retrieval & RAG
- Model serving
- Evaluation & red-team
- Prompt versioning
- Observability
- Cost control
Our delivery process
From requirements to handover.
We plan requirements, architecture, design, implementation, testing, release and handover. The proposal identifies the engineering review and client acceptance points for your project.
Service questions
AI Development Services: common questions.
Do you work with our existing model provider?
Yes. We're vendor-neutral: OpenAI, Anthropic, Google, open-weight, or your own fine-tuned models. The choice is driven by the eval, not the logo.
How do you measure whether the system is working?
We build the eval set before we build the system. Every deploy runs against it, and regressions fail the build, not a review.
What happens if the model degrades in production?
Drift is monitored per-slice. When it crosses threshold, alerting fires and the rollback path is one command. The runbook is written on day one, not after the incident.
See the work
Related software in action.
AI0:45 · Product demoZubaan
Build confidence for the next conversation in English.
AI1:40 · Product demoAgentic Ordering
From a conversation to a confirmed food order.
Plan your project
Discuss your requirements.
Tell us your goals, current systems and delivery priorities. We will define the scope and provide a written quote for AI Development Services before implementation.
Timelines, ownership, third-party licences, warranty and support are agreed for your engagement.