Self-serve is in early access

Connect one source. See what it finds.

Deploying is free: the whole console, every connector, unlimited agents and users. You pay 5% of the model compute it uses, and nothing else. No call required to find out whether this works on your data.

Ward · Sources
The Sources list in Ward, showing five connected systems with their type: two Parquet exports, an HTTP API, and two API connectors, above a New source button.
The first screen after sign-in. Five systems connected, each one read through a named connector.

Read the guides first →

What happens after access

Four steps, and none of them are a call with us.

Step 1

Sign in

The console runs in the browser. Nothing to install, and SSO/SAML from day one so your existing identity stack governs who gets in.

Step 2

Connect one source

Ward asks for a read-only role and the schemas it may see. It will not ask for more, and it fails rather than widening its own scope later.

Step 3

Review and query

Ward AI drafts the cleaning rules; you approve them. Then ask a question in English and read the SQL underneath the answer.

Step 4 is the one worth doing on real data: describe an agent, scope it to two tables, approve it, and see what it finds. Running agents →

The bill

Free is the platform, not a trial with a timer.

Platform
Free
The whole console, deployed. No license, no seats, no platform fee.
  • Every connector and the semantic layer
  • Unlimited agents and users
  • Policies, audit log, SSO/SAML and RBAC
  • Community support
Setup
From $0
Self-guided is free. Paid packages when you want a named engineer for training and guidance.
  • Self-guided: $0
  • Guided, two weeks: $7,500
  • Managed, six weeks: $20,000
  • Program, multi-entity: from $50,000
Early access

Access is going out in batches while self-serve finishes.

Account creation is not open to everyone yet. Tell us what you would connect and we will open an account with the batch that fits it. If you would rather talk to an engineer first, book twenty minutes.

Find out what your data has been hiding.

Tell us about your operation. We’ll show you the problems Ward catches, and the ones your current tools miss.

Step 1 of 3
What are your goals?
Step 2 of 3
About your operation
Step 3 of 3
Your contact info