Our thesis
Increase human agency through compounding intelligence, evidence, and value.
Agency starts with knowing what is actually true. The Brain Console™ turns scattered company knowledge into reviewed Canon, checks what is safe to use, and records every approved or blocked injection — so people and their AI tools decide from the same reviewed context.
Built for teams that need context, guardrails, and visibility — workforce legibility, never workforce scoring. Our commitment.
The operating systems
Three operating layers sit underneath every product we build.
The Brain Console is the working surface of BrainOS. SignalOS and ValueOS shape what it learns from and what it optimizes for.
Shared operating doctrine and governed context. Defines what the ecosystem knows, what has already been reviewed, and what is allowed to be used.
Organizational learning, not dashboards. Every product, experiment, success, and failure becomes evidence that improves the next decision.
Measures value creation rather than activity: decisions improved, opportunities unlocked, friction removed, trust increased, resilience built.
How agency compounds
Every product is a different mechanism for the same outcome.
- Brain
- Agency through governed context — reviewed Canon your tools are allowed to use.
- Signal
- Agency through awareness — evidence from what actually happened.
- Value
- Agency through prioritization — what created value, not what consumed hours.
- IQ
- Agency through capability — raising what a person or team can do.
- Brief
- Agency through clarity — turning ambiguity into something executable.
- Fit
- Agency through readiness — are you prepared for what comes next?
- Groundwork
- Agency through action — the foundation that makes the first move possible.
The test for anything we build: does it measurably increase a person’s ability to decide and act? If not, it sits outside the portfolio.
The hypothesis
As people gain agency through better information, better decisions, and better access to opportunity, many structural inequities can be reduced — even if they cannot be eliminated.
We treat that as a hypothesis to test, not a promise. These are the outcomes we can actually measure:
- Reduce unnecessary friction
- Increase access to opportunity
- Improve decision quality
- Make value creation visible
- Distribute knowledge more equitably
The controls
Three controls before context reaches AI.
Turn scattered docs, notes, and decisions into reviewed organizational knowledge.
Block stale, sensitive, conflicting, or unapproved context before a tool can use it.
See what context was sent, where it went, and why it was allowed or blocked.
How it works
From scattered inputs to a recorded, governed injection.
- Step 1Inputs
Docs, notes, and sources land in staging.
- Step 2Evaluation
Protocols determine what needs review.
- Step 3Review
Approved knowledge becomes reviewed Canon.
- Step 4Runtime readiness
Canon is checked before it can be used.
- Step 5Governed injection
Approved context goes to approved destinations.
- Step 6Audit trail
Every allowed or blocked use is recorded.
Example
When knowledge changes, AI should not guess which version is true.
- Flags the conflict between old Canon and the new source.
- Routes the change for review.
- Keeps unapproved context out of runtime.
- Promotes the approved version to Canon.
- Records which tools received the updated context.
Brain Console separates draft knowledge from reviewed Canon, so tools only receive context that has passed review.
Use cases
Governance shaped to the team using it.
Works with
Works with tools your team already uses.
Brain Console governs which reviewed context flows to the tools around your work. Approved context in, blocked context stopped, every use recorded.
ClickUp
ClickUp organizes the work. Brain Console governs the context AI tools can use around that work.
Teams use ClickUp to manage tasks, docs, projects, and workflows. Brain Console helps govern which reviewed company context can be used by AI tools around that work, then records approved and blocked context injections with policy verdicts and payload lineage.
Pricing
Plans you can grow into, once your workspace is ready.
Every plan is priced per workspace, per user, and per governed injection event. Self-serve checkout and trials are paused while we onboard teams in sequence.
For small teams setting up their first reviewed Canon.
- 1 company workspace
- Up to 3 users
- Staging and review
- Reviewed Canon
For teams using reviewed Canon across recurring workflows.
- Up to 10 users
- Team invites
- Expanded Canon workflows
- Policy simulation
For organizations needing deeper controls and auditability.
- Up to 25 users
- Advanced audit trails
- Support-mode request flow
- MCP / tools inventory
Compare
Not search. Not memory. The control plane for AI-usable context.
See how Brain Console differs from Glean, Hebbia, Mem0, Zep, and Copilot — and where they coexist.
Trust
Workforce legibility — not workforce surveillance.
Brain Console tracks governance events on organizational context — not keystrokes, dwell time, productivity scores, or behavioral profiles. Boundaries are enforced by design.
FAQ
Frequently asked questions
Bring your AI-assisted work under governance.
Join the waitlist and see how reviewed Canon, runtime readiness, and governed injection work together once your workspace opens.