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Solutions

Systems engineered for production.

Each of these is a platform we have designed, built and operated. They are starting points shaped around your requirements, not licences sold off a shelf.

Autonomous AI agents

Systems that carry out multi-step work and know when to stop.

Agents that plan, call tools, act inside your systems and escalate to a person when confidence drops below an agreed threshold. Every action is logged with its reasoning, its inputs and its cost, so an operator can audit any decision after the fact.

Representative stack

  • TypeScript
  • Python
  • PostgreSQL
  • Redis
  • OpenTelemetry

Capabilities

  • Tool use against your own APIs, databases and internal services
  • Explicit confidence thresholds with human escalation paths
  • Full decision traces: inputs, reasoning, tool calls, cost per action
  • Guardrails, permission scoping and per-action spend limits
  • Evaluation harness so behaviour changes are caught before release

Typical outcomes

  • Routine multi-step processes run without a person in the loop
  • Specialist time redirected to the exceptions that need judgement
  • A complete audit trail for every automated decision

Document intelligence & OCR

Turning unstructured documents into data you can query.

Extraction pipelines for invoices, contracts, identity documents, medical records and archival scans. Built for the documents that actually arrive — skewed, stamped, handwritten, multi-language, photographed at an angle — rather than the clean samples in a vendor demonstration.

Representative stack

  • Python
  • PyTorch
  • Tesseract
  • PostgreSQL
  • S3-compatible storage

Capabilities

  • Layout-aware extraction across mixed formats and scan quality
  • Multilingual recognition including handwriting and stamps
  • Per-field confidence scores routing low-certainty items to review
  • Validation against your business rules before anything is committed
  • Structured output into your database, ERP or downstream workflow

Typical outcomes

  • Document handling measured in minutes rather than days
  • Manual keying reduced to the genuinely ambiguous cases
  • Searchable, structured data where there were previously only files

Enterprise automation

Removing the work nobody should be doing by hand.

We instrument an existing process, find where the time and errors actually accumulate, and automate that — not the part that is easiest to demonstrate. Every automation ships with the measurement that proves it worked.

Representative stack

  • TypeScript
  • Temporal
  • PostgreSQL
  • Docker
  • Grafana

Capabilities

  • Process instrumentation and baseline measurement before design
  • Orchestration across systems that were never meant to talk
  • Exception handling and review queues for the cases that need a person
  • Approval chains, audit logging and role-scoped access
  • Dashboards showing the metric that justified the project

Typical outcomes

  • Cycle times cut against a measured, agreed baseline
  • Error rates that fall and stay down because they are monitored
  • Capacity released without adding headcount

Private & sovereign AI

Intelligence that never leaves your boundary.

For workloads where data cannot cross a border, a vendor boundary or a regulatory line. Open-weight models hosted on your infrastructure, with the evaluation work to show you what the trade-off against a frontier API actually costs you in accuracy.

Representative stack

  • vLLM
  • Kubernetes
  • NVIDIA CUDA
  • Terraform
  • Vector storage

Capabilities

  • On-premise or private-cloud model hosting with GPU capacity planning
  • Open-weight model selection, quantisation and serving
  • Fine-tuning and retrieval on your own corpus
  • Measured accuracy comparison against hosted frontier alternatives
  • Air-gapped operation where the environment demands it

Typical outcomes

  • Regulated and confidential workloads become addressable
  • No per-token dependency on a third party’s pricing or availability
  • Documented evidence of where your data goes — and does not

Data intelligence

Making the data you already hold answer questions.

Most organisations are not short of data; they are short of a path from data to decision. We build the pipelines, semantic layer and interfaces that let a non-technical person ask a real question and get a defensible answer.

Representative stack

  • dbt
  • PostgreSQL
  • DuckDB
  • Python
  • TypeScript

Capabilities

  • Ingestion and normalisation across fragmented internal sources
  • A semantic layer so metrics mean one thing across the organisation
  • Natural-language querying with the generated query shown, not hidden
  • Anomaly detection and forecasting where the data supports it
  • Row-level access control aligned to your existing permissions

Typical outcomes

  • Decisions made on one agreed set of numbers
  • Analyst time spent on interpretation instead of extraction
  • Questions answered in minutes that used to need a ticket

Web platforms & applications

The interface people actually use, built to the same standard.

An intelligent system is only as good as the surface people touch. We design and build the applications, portals and internal tools that sit on top — accessible, fast, multilingual, and held to the same engineering standard as everything beneath them.

Representative stack

  • Next.js
  • TypeScript
  • PostgreSQL
  • Tailwind CSS
  • Docker

Capabilities

  • Product design and interface engineering in one team
  • Accessibility to WCAG 2.2 AA as a build requirement, not an audit
  • Multilingual architecture from the first commit
  • Performance budgets enforced in continuous integration
  • Design systems your own team can extend without us

Typical outcomes

  • Interfaces that people adopt without being told to
  • Measurably fast pages on real devices and real networks
  • One codebase serving every language you operate in
Start here

Tell us what you are trying to achieve.

Not a sales call. A technical conversation with the engineers who would build your system — and an honest answer about whether we are the right team for it.