Services
One capability at a time: scoped, built and handed over to your team.
Solonomous AI engineering services cover the complete AI stack, from generative AI, retrieval and multimodal systems to agents, infrastructure and evaluation. This index lists every published service page twice: by the engineering discipline it belongs to, and by the job it does inside an organisation.
Each service can be engaged on its own: one capability, scoped, built and handed over, without an embedded team.
The three category pages explain the architecture; each service page goes deep on one capability.
Each service is scoped, built and handed over on its own. All of them share one way of working: grounded answers, agents within written limits, and releases tested before anyone relies on them.
Read supplier invoices and answer questions about them
Document Intelligence
Fields read and checked
RAG Pipelines
Answers with their sources
Autonomous Back Office
Exceptions routed to a person
AI Evaluation, Safety & Security
Tested before release
Describe the work in plain words, and the index points to the service pages that cover it, by discipline or by job.
Describe the work and an engineer names the services it needs, or says when it is a larger programme.
Post this invoice to the ledger: the amount matches the order, but the supplier's bank details changed.
Whatever the service, anything with legal, financial or customer-facing effect waits for the person accountable for it.
Every service ships the same way: each change runs against the agreed tests first, and the last good release is one step back.
Six engineering disciplines. A service sits under the discipline it draws on most; each group links the page that explains its family.
Generative and applied AI, and the retrieval that grounds it in your own records.
Agents and automation that do defined work inside your systems, with people deciding the exceptions.
Multi-tenant AI-native platforms engineered for organisations; the components are described on one page.
Vision, speech and documents, engineered end to end.
Pipelines, serving, evaluation and safety for models and agents.
Engineers inside your environment, from scoping to production and handover.
The same service pages, organised by the work they take on. Each job says what the agents or models do and where a person stays in charge.
Intake, approvals, filing and follow-up prepared by agents inside your systems; your approvers decide what has legal effect.
Requests across voice, chat and email resolved or escalated; your team takes what the agent should not decide.
Operational processes watched and run inside your systems; your people decide the exceptions.
Questions answered from your own documents and records, with the source attached.
Documents read into checked, structured data and posted to your systems of record.
Categories
Services sit beside our own AI-native products and Forward-Deployed Engineering, and all three draw on the same engineering. The three category pages explain how the services in each family fit together.
Each service runs the same four steps, whether it is one capability or the first of several. Your team sees the work at every step and runs it at the end.
We read a sample of the work and the systems it touches, then agree which service fits, what done looks like and how it will be judged.
Engineers build it inside your environment, on your data and under your permissions, connected to the systems your people already use.
It is scored on tests drawn from your own work and agreed with the people who own it, then opened to a small group with a rollback ready.
Runbooks, the test suite and a trained team. What you own is set out in the contract, and we can stay on to run it if you want.
Describe the work and the systems involved. Our engineers will tell you which discipline it needs, and whether it is one service or a larger programme.
