AI Development Services.
End-to-end AI systems, from data to deployment.
Turn a napkin idea into a production AI system — with a named senior engineer signing off at every gate.
What it is
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.
What you get
6 concrete things, on the SOW.
Every deliverable is written into the statement of work — priced, dated, and signed off by a named engineer at the relevant gate.
- 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, 30-day warranty
Where this shows up
Three shapes of engagement.
Different problems, same method. These are the concrete work shapes we typically deliver under AI Development Services.
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.
The stack
Capabilities, not vendors.
The requirement picks the tool, not the other way round. Naming vendors up front would set the wrong ceiling on what we take on.
- Retrieval & RAG
- Model serving
- Evaluation & red-team
- Prompt versioning
- Observability
- Cost control
How it runs
Seven stages. One signature at a time.
Every AI Development Services engagement runs through the same seven-gate Aivora Delivery Engine — each stage run by specialised agents, each ending at a gate a senior engineer must sign.
Frequently asked
Questions people ask before booking.
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
This expertise, in a product.
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Ready when you are
Bring us the hard bit.
Ninety-minute kickoff. Five-day audit. Fixed quote for AI Development Services — in writing, before we build.