Proposed founding pricing

Pay for the operating capacity you use—not every person you invite.

The launch hypothesis is unlimited members with workspace pricing and transparent allowances for AI, automation, storage, and deployment.

Founding access

Launch

For small teams replacing scattered tools with one connected workspace.

$39/ workspace / month
  • Unlimited members
  • CRM, Projects, Docs, and Support
  • 5,000 automation runs per month
  • Shared AI allowance
  • Standard integrations
  • Email support
Join founding access
Enterprise

Scale

For regulated or complex organizations requiring deployment and identity options.

Custom
  • Everything in Growth
  • SAML SSO and SCIM provisioning
  • Dedicated environment options
  • Bring-your-own-model and key controls
  • Custom retention and audit exports
  • Security and implementation support
Talk to the team

These are proposed founding-access plans for product validation, not a binding public offer. Taxes, usage overages, implementation, and enterprise deployment are excluded.

Pricing principles

Simple enough to understand. Sustainable enough to operate.

AI products fail when pricing ignores variable model and workflow costs. The goal is predictable baseline value with visible usage controls rather than surprise bills.

01
Unlimited collaboration

Inviting a reviewer, client, approver, or occasional teammate should not create a new licensing debate.

02
Meter expensive resources

AI tokens, automation execution, storage, OCR, communications, and dedicated infrastructure have real variable costs.

03
Show usage before overage

Administrators should see forecasts, budgets, alerts, and model-level spend before limits are exceeded.

04
Preserve an exit path

Customers should be able to export records and attachments without paying a punitive migration fee.

Pricing questions

What early buyers should know.

The figures on this site are validation assumptions and can change before a binding public offer is published.

Will pricing be per user?

The proposed launch model is workspace- and usage-based with unlimited members. AI consumption, automation volume, storage, and enterprise deployment requirements are the main variable cost drivers.

Can organizations export their data?

Data portability is a product principle. The production platform should provide structured exports, documented APIs, webhooks, and clear retention and deletion controls.

Are AI overages automatic?

The production design should support hard limits, warnings, administrator approval, prepaid credits, and model restrictions. Silent unlimited overage is not the intended default.

Will implementation cost extra?

Standard self-serve onboarding can be included in plans. Data migration, custom integrations, dedicated deployment, security review, and process design may require a separate implementation scope.