AI agents & assistants
LLM-powered agents grounded in your data, with retrieval, tool use, evaluation harnesses and guardrails built in from day one.
- LLM
- RAG
- Agents
- Evals
Approach
We don't follow the hype or implement technology for the sake of it. Every engagement begins with the business result and the metric that proves it, and ends with a system your people own.
We start with the result that matters to you and work backwards to the data, models and systems that produce it.
AI explains and recommends. Your officers, officials and operators make the decision, and every choice is logged with its evidence.
Systems and data are hosted where you need them: in-country, in your own cloud tenancy, or on premises, with security aligned to ISO/IEC 27001.
Each score or flag shows the reasons behind it, stores its inputs and model version, and stands up to challenge.
We leverage AI and Machine Learning's advanced analytics to derive insights that enable our customers to produce more of their desired business outcomes.
We leverage predictive analytics to surface unplanned incidents with the potential to wipe our customer's profit margins. Our insights provide recommendations before the cost is incurred.
We leverage advanced analytics to derive insights on business areas where our customers could spend less than budgeted.
We mentor teams and automate manual processes that save our customers valuable time.
Consulting advice is only half of it. We design, engineer and operate production-grade AI systems that our customers run their business on.
LLM-powered agents grounded in your data, with retrieval, tool use, evaluation harnesses and guardrails built in from day one.
Forecasting, anomaly detection, risk scoring and optimisation models that surface what will happen next and recommend what to do about it.
Cloud-native or on-premises lakehouses, feature stores and MLOps pipelines that take models from notebook to monitored production reliably.
Consoles and applications that put recommendations, reasons and audit trails directly in the hands of operators, officials and executives.
Define the business outcome and the metric that proves it.
A tightly scoped pilot on real data, measured against that metric.
Production engineering: architecture, security, integration, change.
Monitoring, support and continuous improvement under SLA.
We are focused on quality over quantity. Even though we possess the skills, we intentionally don't do everything.
Tell us the business result you're after. We'll tell you honestly whether AI and analytics are the right lever, and what it would take.