Continuity
01Keeps the accepted objective in view
Preserves the context that governs a task so later activity can be checked against what was actually agreed.
Newport Resonance
Intelligence you can inspect
Tree of Mind adds structure, evidence, and governed action around language models.
Explore the technical concept through our research and our most mature product, ToM Assurance Suite.
Evidence-awareAuditableGovernedResilient
Intelligence You Can Inspect
Our most proven assurance platform leads a portfolio spanning governed AI, session reliability, engineering, housing, and sales.
Assurance intelligenceMost proven ToM product
ToM Assurance Suite
Connect the requirement to the proof.
ToM Assurance Suite connects requirements, standards, evidence, decisions, and audit readiness across complex regulated engineering programmes.
Session assuranceProduct preview
ToM Bar
Know when an AI session is still worth trusting.
A native macOS companion for Codex and Claude Code that helps teams inspect accepted context, missing proof, unresolved failures, and bounded next steps.
Housing intelligenceIn development
ToM Housing
Bring planning, feasibility, and delivery into one view.
Designed to connect planning data, compliance review, and financial modelling across the housing development lifecycle.
Deal intelligenceIn development
ToM for Salesforce
Add governed advice without rewriting the CRM.
A read-only advisory experience for Salesforce Sales Cloud, designed to surface deal signals and precedent while leaving CRM records unchanged.
Engineering workflowsEarly access
OpenBeam
Review technical PDFs with less friction.
A practical macOS tool for PDF markup, takeoff, revision comparison, and conversion workflows used by engineers and technical reviewers.
The Framework
Intelligence Is Structure in Motion
Today's AI systems can generate, predict, and automate. A language model alone does not automatically preserve why decisions were made, arbitrate conflicting objectives, or provide governed judgment under ambiguity. Without structural integrity, AI becomes a liability dressed as an asset.
ToM is designed to add structured judgment, reviewable evidence, and governed state around model reasoning. It assesses stability and coherence signals, preserves approved context across operations, and bounds initiative within defined limits. Where configured, decision records can retain evidence and authority context for review.
8
Conceptual Layers
Traceable
Decision Trails
Bounded
Agency
Conceptual architecture
A governed system around the model
Tree of Mind turns model output into bounded, evidence-linked decisions.
Connected context
- Product workflows
- Enterprise systems
- Documents & evidence
- Operational tools
Inspectable outcomes
- Recommendations
- Reviewable decision records
- Bounded actions when permitted
- Audit evidence designed for review
Conceptual architecture: this simplified view is not a runtime trace or performance claim. Implementation details intentionally omitted.
Explore the governed loopTree of Mind
What ToM Adds Around a Language Model
Language models generate useful possibilities. ToM is our approach to making the surrounding system more continuous, evidence-aware, governable, and inspectable.
Evidence
02Separates progress from proof
Connects conclusions to the evidence used, and makes missing or stale support visible instead of inventing confidence.
Governance
03Places boundaries around action
Adds reviewable constraints and escalation paths between a model proposal and a consequential next step.
Accountability
04Leaves a decision trail people can inspect
Makes important context, evidence, and intervention points legible to the people responsible for the outcome.
Governed embodied action
What happens between a model's suggestion and a machine's motion?
Our latest research explores an independent, persistent action supervisor for language-model robot planners. The aim is not to make the planner sound safer, but to give consequential actions a separate evaluation and an inspectable release decision.
- 01A language model proposes an action.
- 02A separate supervisor evaluates the action in context.
- 03The system releases, modifies, or interrupts the action.
- 04The decision leaves an auditable trace.
Interested in What ToM Could Unlock?
Talk with us about the research, a product challenge, a partnership, or investment.