Data and a question in. Validated models, forecasts, dashboards and answers out, each model with a signed proof.
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.
Choose which fields each person sees. Personal data is masked before anyone reads it.
Every dataset, model and dashboard traces back to the query that fed it.
Connections only read. A write-back is planned, approved and checked after.
Credentials are sealed when saved and opened only at the moment of use.
Owner, editor and viewer. Private by default, shared by name or by link.
Each experiment runs apart from your credentials. Logs are cleaned of secrets.
A model ships only when the evidence says it is ready.
The test data stays out of every choice and scores the final model once.
Every model carries a certificate anyone can verify, no account needed.
Send outcomes back. OctOpus measures real accuracy and flags drift.
Ready means it beat the baseline, held under stress and generalised. Otherwise it says so.
Every model is measured against a simple baseline, and the gap is on the certificate.
Why each model was tried, what it scored and why it was kept or dropped, in plain words.
Descartes, the company brain behind every answer.
Your procedures, documents, goals and definitions behind every answer.
Up to five brains per person, each on or off per project, never mixed.
Procedures saved as screenshots are read word for word and answered from.
Tables in PDFs, Word files and pictures become data you can analyse.
Your company’s goals and definitions shape the work, and every answer names the goal it serves.
What OctOpus learns stays with you until you share it with a project, a workspace or the company.
For contact centres and teams that run on calls.
Every call coded with your own fields (reason, product, sentiment, escalation) with the evidence.
Supervisors fix transcripts in place. Approved calls become training data.
Trained on your approved recordings and terms, and compared on your own calls.
A voice from your recordings, with delivery styles for customer service.
Calls, codes and follow-ups pushed to your CRM through signed webhooks.
Customers call a number and talk to OctOpus, which speaks as your company and logs the call.
From a question to a running service your teams call.
Serve a model to your apps with scoped keys, rate limits and call counts.
Schedule retraining and reports. Drift is checked on every run.
Open a dashboard’s source, edit it, run it live and commit it to GitHub.
Shapefiles, GeoJSON and rasters with real geoprocessing, drawn on the dashboard.
Adapt open language models on your own examples, with a training card.
Ask for official statistics. OctOpus fetches every source and keeps the lineage.
The same projects from a terminal, from Python or from your code editor.
A senior data scientist’s engagement: questions tested one by one, weak models refused.
Clean, reshape and query files of any size, in plain words, with every step kept.
Roll it out under your name, to everyone who should have it.
Your name, logo, colours and domain. Your teams never see ours.
Anyone signing in with your company email takes a seat, up to your contract.
Pay for the work done, at rates anyone can read and reproduce.
Sell the models your teams build, or buy ready ones, priced per call.
OctOpus on your teams’ computers, next to the files they work on.
Procurement, invoices and a named contact, on an annual contract.
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. The same product everywhere.
Read-only by default, credentials sealed, every run isolated and recorded.
Snowflake
BigQuery
Databricks
Redshift
PostgreSQL
SQL ServerFilesRecordingsDocumentsPublic dataConsultancies 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.