Pricing

Plans that scale with your work.

Start free, move to Pro when you ship, stay on Team when your org joins. No credit card to begin.

Free
Prove value before you commit.
$0
forever
Get started
Pro Popular
For individuals shipping models to production.
$20 / mo
billed monthly
Subscribe — $20/mo
Pro+
For power users and heavy compute workloads.
$60 / mo
billed monthly
Subscribe
Team
For orgs that need shared workspaces & seats.
From $80 / mo · 2 seats min
$40 / seat · billed monthly
Subscribe — from $80/mo
Enterprise

Procurement, security, and private deployment.

For organizations rolling OctOpus out across a division or regulated environment. We support real review cycles — data handling, subprocessors, private deployment, invoicing — not a generic PDF.

SSO & SCIM Private / VPC deployment Desktop app (run locally) Custom connectors Dedicated support & SLA Annual invoicing Procurement support
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Students & academic researchers

50% off Pro with a valid .edu email — verify with your university address and we'll apply the discount.

Request student discount →
For investors

OctOpus is building the autonomous AI data scientist.

OctOpus takes raw business data and turns it into profiling, experiments, production-ready models, and decision-ready reports from one workflow. The same product supports self-serve users, team adoption, and private enterprise deployment, with investor materials available on request.

Founder-led · pre-seed Live product, public distribution, paying users, and active enterprise demand. Customer detail, revenue metrics, pipeline, and round terms are shared in the private deck.
Product

Shipping software, not a slide deck

OctOpus is already live. Users can upload real data, transform it, run research loops, edit code and plans, and move from exploration to deployable outputs in one product.

Commercial signal

Bottom-up adoption with enterprise expansion

Self-serve pricing captures individuals and small teams, while larger organizations pull the product toward governance, collaboration, and private deployment.

Why now

Data science workflows are becoming agentic

The category is moving beyond dashboards and static AutoML. OctOpus frames the task, runs experiments, recovers from failures, and returns a model plus decision-ready output.

Doudou BA

Founder · applied ML, optimisation, and production systems

OctOpus comes out of real machine-learning work in production settings: forecasting, optimisation, automation, deployment, and the messy loop between them. The company is being built by someone close to the problem, shipping quickly, and designing for both individual adoption and enterprise expansion.

Customer references, revenue detail, pipeline numbers, and round specifics are shared privately.