Governance & security
Your rules hold before any query runs.
- Column policy & masking
- Lineage, end to end
- Read-only by default
- Keys encrypted at rest
- Private projects & roles
- Every experiment isolated
Data and a question in. Validated models, forecasts, dashboards and answers out, each model with a signed proof.
Most data-science problems don’t come with instructions. Which model should you use? What should you test? Why didn’t it work? What comes next? OctOpus is built to reason through those decisions, turning data and goals into experiments, models, insights and working applications.
Research-driven. Data-first. Built to reason.
Eight capabilities in one product, each one built on your own data.
Governance, proof, company knowledge, calls and speech, operations and your brand. Nothing to bolt on.
Your rules hold before any query runs.
A model ships only when the evidence says it is ready.
Descartes, the company brain behind every answer.
For contact centres and teams that run on calls.
From a question to a running service your teams call.
Roll it out under your name, to everyone who should have it.
Six steps, run by OctOpus. Every model is scored once on data it never saw, then signed.
1,408 never seenOur cloud, your cloud, your servers, an air-gapped network or your teams’ desktops. Read-only by default, every run isolated and recorded.
Consultancies bring OctOpus to their clients under their own brand. Energy, utility and mobile teams run churn, forecasting and anomaly detection on it.
The painMore client demand than data scientists to deliver it.
We work withHeads of data & AI, practice leads and founders.
The painCustomers switch easily, demand moves with the weather and assets age every day.
We work withHeads of analytics, CIOs and heads of customer.
Validated, with a signed recordEvery model is scored on data it never saw and comes with an evaluation certificate anyone can check.
On-premises when you need itOur cloud, your private cloud or inside your own network.
One product, not threeChurn, forecasting and anomaly detection side by side, on the same data.
A two-week pilot: one question, one dataset, a clear answer.