Services
Assessment, implementation, delivery and support
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.