Data
- Source connectors and incremental ingestion
- Schema validation and quality gates
- Evaluation sets and regression tracking
Artificial intelligence · Software engineering
AI products, from idea to production
Not demos that stay in the deck — systems that hold up under load.
01 — SERVICES
End-to-end AI engineering
Picking a model is the small part. The work is preparing the data, drawing the boundaries, measuring, and keeping it standing under load.
Enterprise RAG architecture and vector database integration
Standard large language models cannot reach private in-house data, fall out of date, and produce confident answers with no basis in fact when questioned.
See the serviceFine-tuning, LoRA/QLoRA and model distillation
General-purpose models fall short against the jargon of a given sector — law, medicine, finance, manufacturing — or against business logic specific to one company; and running general models in production brings high API and hardware costs.
See the serviceMetric-driven evaluation and comparative model test infrastructure
Model performance is judged by surface-level observation, and once systems are live there is no analytical way to track accuracy and safety rates.
See the serviceLegacy system modernisation and intelligent API layers
The previous-generation ERP, CRM, mainframe or bespoke database systems a business has run for years — the ones at the centre of its workflows — cannot technically accommodate AI integration.
See the service02 — Platform
The layer we build on
We do not start from zero on every project; we build on a skeleton that has been through production.
Model
- Provider abstraction and fallback
- Context building and tool calling
- Cost and latency budgets
Product
- Sessions, permissions and audit trail
- Streamed responses and cancellation
- Usage metering and quotas
03 — PRODUCTS
The systems we built
01
Enterprise memory and semantic search engine
werea NexusRAG
A knowledge management architecture that makes billions of lines of internal documentation, regulation and data instantly reachable, with near-zero hallucination risk.
02
Closed-circuit on-premise and air-gapped AI platform
werea VaultAI
AI infrastructure that runs entirely on local servers, sealed off from the outside world, for organisations where moving sensitive data out is legally or strategically impossible.
03
Autonomous workflows and multi-agent orchestration
werea AgentOps
A workflow platform that makes complex, multi-step processes autonomous through specialist AI agents that talk to one another.
04 — Numbers
What we measure
42+systems live and running in production
6 weeksfrom idea to the first live release
100%targeted availability and continuity
05 — CASE STUDIES
Architectures running in production
Instant knowledge access and zero hallucination in finance
Results and impact
Read the storyRegulatory look-up time for branch and operations teams fell from an average of four hours to three seconds.
High-precision contract analysis in law
Results and impact
Read the storyRisk and dispute analysis time per contract fell by 80%.
06 — BLOG
Decision notes and technical writing
06 — Contact
Start with a problem
Tell us briefly what you want to build; we will say whether we are the right fit within two working days.
- Starred fields are required — without an e-mail we cannot reply.
- Your message lands in our admin panel, not an automated queue.
- Within two business days we tell you whether we are a fit.