What we do
- Retrieval‑augmented generation (RAG)
- ML Ops and evaluation frameworks
- Copilots and automation workflows
- Model risk management and guardrails
Our expertise
GenAI
Practical AI that augments teams and products—grounded in safety, privacy and ROI.
Practical AI that augments teams and products—grounded in safety, privacy and ROI.
Highlight
10–30%
time saved per agent
Highlight
95%+
guardrail pass rate
Highlight
Weeks
from idea to pilot
Challenges we solve
- Unclear business cases and ROI
- Data privacy, access control and governance
- Hallucinations and unpredictable responses
- Model drift and lack of evaluation
Our approach
- Discover: prioritise high‑ROI, low‑risk use‑cases
- Pilot: build small, measurable experiments
- Harden: add guardrails, evals and observability
- Scale: productionise and monitor outcomes
Who we help
- Operations and support teams seeking automation
- Product teams adding AI features
- Leaders requiring safe and private AI adoption
Outcomes
- Measured ROI via pilots that graduate to production
- Increased productivity without compromising safety
- Robust evaluation and monitoring to manage risk
How we measure success
- Task time reduction and assisted coverage
- Evaluation metrics (quality, safety, bias) and drift
- Adoption and outcome improvements per workflow
Case study
FAQs
Where does our data live?
We use secure connectors and retrieval to keep sensitive data controlled and auditable.
How do you prevent hallucinations?
We combine retrieval, policy guardrails and evaluation suites with human oversight.
Which models do you support?
OpenAI, Anthropic, open‑source (Llama, Mixtral) and vendor models—chosen per use case.
Next step
AI pilot in 10 days
Prove value with a measurable pilot, guardrails and a clear path to prod.