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Services

Assessment, implementation, delivery and support

One team from the first workshop to the system your people use every day. On-prem with open-source models, or in the cloud — your choice, use case by use case.

Assessment

Know what to build first, where it runs, and what it will cost.

  • Use-case discovery workshops with business and IT
  • Scoring on value, effort, data readiness and risk
  • Data audit: where it lives, quality, access, sensitivity
  • Infrastructure review and GPU sizing estimate
  • Model recommendation per use case, and where a foundation-model backup is justified
  • Business case and 12-month roadmap

Implementation

Agents, RAG and integrations built on your systems.

  • Private AI stack: model serving, gateway, vector store, monitoring
  • Agents with approved tool lists and human approval steps
  • Multi-agent orchestration for multi-step processes
  • RAG over your documents with citations
  • Integrations with ERP, CRM, ITSM, CMS, DMS and data platforms
  • Single sign-on, role-based access and audit logs

Delivery

From pilot to production with measured results.

  • Baseline metrics and acceptance tests agreed before build
  • Evaluation on your data, including failure cases
  • Security and privacy review
  • User testing with the people who will use it
  • Go-live runbook and handover

Support

We run what we build.

  • Support with agreed response times
  • Monitoring of quality, latency and cost
  • Tuning on your data as usage grows
  • Model upgrades with regression testing
  • Monthly report: usage, cost, issues, next improvements

Hosting

On-prem or cloud

On-prem / your data centre

Open-source models on your GPU servers. Best for regulated data, high steady volumes and teams that want to own their tuned models. On-prem always means open-source models.

Cloud

Open-source models in your cloud tenancy, or a foundation-model API for the needs you approve. Best for fast pilots, spiky workloads and public or synthetic data.

The four layers

How services map to the stack

01 · Assess

  • Use-case shortlist with value and effort
  • Data and infrastructure readiness
  • Model and hosting recommendation
  • Business case and roadmap

02 · Infrastructure

  • GPU sizing and procurement advice
  • Model serving (vLLM / Ollama)
  • Model gateway with keys, quotas and logs
  • Monitoring and usage reports

03 · Build

  • Agents with approved tool lists
  • Multi-agent orchestration
  • RAG over your documents
  • Integrations with your systems

04 · Run

  • Support with agreed response times
  • Evaluation and tuning on your data
  • Model updates and regression checks
  • Cost and usage control

Book a working session

A working session with our architects on one of your use cases. You bring a process and sample documents; we leave you with a scoped plan: model, hosting, integrations, timeline and cost range.