Data Agents
Give your data team leverage.
Data teams are typically buried under repeat questions, dashboard tweaks, metric checks, and urgent requests. A data agent changes the pattern: a trusted self-service layer for everyday analysis, so your data team can focus on the work that compounds, like new data sources, governance, modelling, and product growth analytics.
From a plain-English question to a trusted answer.
| Segment | Q2 | Q3 | Δ |
|---|---|---|---|
| Enterprise renewals | £4.1M | £5.6M | +37% |
| Mid-market expansion | £2.8M | £4.0M | +43% |
| APAC new-logo | £1.2M | £1.9M | +58% |
Trusted answers start with trusted tables
The shape of your data matters more than ever. We resurface your data layer to map key questions and metrics to existing gold tables, and create new ones where gaps exist. Then we tune them for performance, accuracy, and reliability.
Plenty of dashboards. Still not enough signal.
Your teams have reports, feeds, and dashboards. But insight still arrives too late: issues are spotted after the fact, investigations take hours or days, and too much depends on knowing where to look.
Appropriate access, governed carefully from the start
Customer-facing agents and sensitive workflows are routed through secure backend services mirroring your access patterns, with authentication, permissions, and guardrails designed from day one.
Measure every answer
Evals, tracing, logging, and observability are embedded from the start, so every answer can be reviewed, scored, improved, and monitored over time.
- 01
Blazing fast, reliable and scalable self-service analytics.
- 02
Earlier signals from the data you already have.
- 03
More time for your data team to do the work only they can do.
>_ Other services
>_ 01
Agent Performance Engineering
Take the agent you have already built and make it production-ready, including the data and workflows underneath it.
>_ 03
Workflow Agents
Move routine work across teams, systems, and checks without adding more manual handoffs.
>_ 04
Consulting
Find the right AI starting point before you commit to building the wrong thing.
>_ Let's Talk
Keen to
connect?
Got a workflow to automate, data your team can't easily query, or an agent that isn't ready yet? We'd like to hear about it.