Who we serve
Same platform. Nine very different conversations.
The data buyer is not one person. A CTO buys capacity and reliability; a CMO buys attribution; a Head of Data buys architecture and governance; a COO buys automation. We scope to the mandate of whoever is accountable — and bring the proof that buyer actually needs.
100% delivery success — delivered worldwide across seven regions
CEOs
You need one version of the truth before you can bet on it
Growth decisions made on numbers three people calculate differently is the most expensive habit in the mid-market. We give you a single reconciled view of revenue, margin and pipeline, then point AI at the two or three decisions where speed actually compounds.
- A board pack that builds itself
- One agreed definition per headline metric
- An AI roadmap with a business case per use case
CFOs
Close faster, forecast with a range, and see cost before the invoice
Finance is usually the function with the cleanest data and the worst tooling. We automate the reconciliation, put intervals around the forecast, and give you unit economics you can defend line by line.
- Month-end effort cut, typically by half
- Cash and revenue forecasts with p10–p90 bands
- Platform and AI cost tracked per workload
CIOs
A platform your team can actually staff and run
We right-size the architecture to the team you have, not the team a vendor deck assumes. Infrastructure as code, documented runbooks, and a migration path that never depends on a single weekend cutover.
- Reference architecture sized to your headcount
- Domain-by-domain migration with reconciliation
- Security, access and residency designed in
CMOs
Attribution the CFO will not argue with
One pipeline across every ad platform and the CRM, measured against booked revenue rather than platform-reported conversions. Then segmentation and lifetime value that let you spend against future contribution.
- Spend efficiency reported against revenue
- Behavioural segments the team can act on
- Predicted LTV by channel and cohort
COOs
Take the manual steps out of the operating rhythm
Most operational data already exists — it is just trapped in systems that do not speak. We connect them, then automate the recurring judgement calls that eat your supervisors' weeks.
- Automated reconciliation across operational systems
- Demand and capacity forecasting with intervals
- Agentic workflows for high-volume, rule-heavy tasks
CTOs
AI in production, not another proof of concept
Evaluation harnesses, guardrails, cost per call and a rollback path. We build to the standards you would apply to any other production service, in your repositories, with your engineers pairing throughout.
- Evaluation suites run on every release
- Scoped credentials and full audit logging
- Your team owning the system at handover
R&D Directors
Get from question to evidence in days
Retrieval over your own literature, trial data and prior work, with citations on every answer. Plus the pipeline discipline to make experimental data reusable rather than one-off.
- Grounded search across internal knowledge
- Structured capture of experimental output
- Faster synthesis without losing provenance
VP of Analytics
Stop your team assembling numbers so they can explain them
The semantic layer, the tests and the documentation your team never gets time to build. We do the foundation work, your analysts move up the value chain, and adoption gets measured.
- Metric catalogue with owners and change history
- Test coverage on every critical table
- Self-serve adoption tracked, not assumed
Agency Owners
Reporting that scales past the point of hiring another analyst
Multi-client reporting automated end to end, with white-label delivery and embedded analytics you can charge for. The margin usually shows up in the first quarter.
- Multi-tenant reporting with client-level security
- White-label dashboards inside your own product
- A day a week back per analyst
By the numbers
One foundation, many owners
Client view
What changes after
the first quarter
We measure engagements on decisions changed, not dashboards delivered.
Next step
Ready to find out what your data is worth?
Thirty minutes with a delivery lead, not a salesperson. You leave with a point of view on your highest-value use case and what it takes to ship it.