PRICING

Packaged around the control you need, not a single all-or-nothing plan.

ThinkFreely is an ecosystem, so packaging follows the control you actually need. Some organizations start with a governed workspace. Others start with the routing and control layer. Most grow into both.

The right starting point depends on your workflows, data boundaries, and model strategy, which is why pricing begins with an assessment rather than a guess.

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The building blocks

ChatFreely Workspace

The user-facing governed AI workspace. Best for organizations replacing unmanaged public AI usage with a familiar, company-managed workspace. Includes the chat experience, a single visible assistant, governed model access, file understanding direction, and project organization.

RouteFreely Gateway

The routing and control layer. Best for IT teams, developers, and internal platform teams. Includes protocol compatibility, virtual models, routing, access control, API keys, usage tracking, limits, failover, MCP controls, and the admin dashboard.

RouteFreely Privacy

Privacy-aware routing and sensitive-data controls. Best for regulated and privacy-sensitive work. Includes privacy classification, local-only and remote-allowed routing, and redaction and anonymization direction. Parts of the privacy pipeline are planned or in progress, and we describe them as such.

RouteFreely Skills

Reusable organizational expertise and workflow control. Best for teams that need consistent outputs. Includes skills, dependencies, activation modes, and import and export.

RouteFreely DriftHold

Context management and DriftHold for Drift Control outcomes. Best for production and long-running workflows that need consistent AI behavior.

ThinkFreely Platform

The full ecosystem, with RouteFreely, ChatFreely, governance controls, and implementation support, for organizations pursuing broad, governed AI independence.

Implementation is part of the value

RouteFreely and ChatFreely are infrastructure. Buildtelligence helps design routing, access, privacy, and cost policy so the platform fits real operations. That is why a plan is scoped to your environment rather than sold as a fixed shelf product.

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What we do not claim

We do not publish guaranteed savings or a fixed cost outcome. Cost depends on your workflows, model choices, and configuration. We help make AI spend visible, attributable, and governable so you can manage it deliberately.

Operating checks before choosing a plan

Key operating checks:

  • whether you start with the workspace, the control layer, or both
  • which models, tools, and environments must be approved
  • where sensitive work needs a stricter route
  • which cost controls matter most
  • who owns rollout, governance, and review

Use the right AI for the right work.

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Think Freely.

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