How It Works

From chaos to context: intelligence assembled, not configured.

AI agents and copilots should adapt to the user and the environment as dynamically as they change. Our policy and context engine assembles the right data, the right tools, and the right permissions automatically, producing adaptive, policy-compliant AI agents that focus on their purpose.

The Problem

To build a focused AI agent, teams must map every data source, permission, and tool dependency each time. This process is time consuming and error prone and it grows exponentially with scale.

The easy workaround is over-permissioning, which opens security and compliance gaps while also substantially reducing agent performance.

The Solution

Our policy and context engine replaces top-down specification with bottom-up assembly from context.

You define the composable building blocks and describe how they relate to each other. The platform assembles the full configuration for any environment, role, or user based upon the up-to-date relationships. Context defines capability.

Assembly in Action

Define the Core

The Core objects are the lowest-level building blocks representing raw connections to data and tools.

Roles are the user roles that define access to data and tools.

Characters are the prompts and metadata that describe how the assembled copilot will interact with the user.

Model Context Protocol (MCP) Servers are the connectors to data sources and tools.

Agents are the remote agents the copilot can call upon to perform certain tasks.

Define Assets and Collections

Assets and collections are higher-level building blocks representing things like equipment, people, clients, and physical spaces.

Assets attach core objects and other assets to form composables representing real-world entities. Apply masks to narrow tools, add parameters to limit data, and declare OAuth resource fragments for secure access.

Collections combine assets, rules, and core objects into high-level abstractions like RTLS zones, stations, or clinic rooms. They describe the operational environment where synthesis occurs.

Define Binding Rules

Binding rules describe relationships between higher-level building blocks, determining what information and permissions flow upward during synthesis.

They describe relationships such as:

• A camera as a subsystem of an inspection station
• An EHR record as a sibling to another

Integrate with Sensing

Use the SDK to have sensing and administrative events drive relationship changes in real time.

• RTLS systems move assets between zones such as stations or rooms.
• Administrative tools, such as an ERP system, attach or detach assets.
• User consent flows (e.g., a parent granting temporary EHR access) modify asset-to-asset relationships.

Station 1

Station 2

Assemble and Execute

Our platform synthesizes a complete agent specification for a given role and collection.

Specification includes prompts, tools, agents, guidelets, and context to be easily run using your preferred agent execution framework.

Full map of the necessary scopes to request from your IAM system and enforce with your gateways to keep the agent focused and safe.

Note: Agents and AI copilots are ephemeral: created on demand and retired when the context changes. They operate with narrower, purpose-specific scopes than the users they represent, ensuring least privilege access and safety by design.

doctor

Pharmacy

prescription:request

EHR

get_record

p001:rw

prescribe_med

p001:rw

Monitor

get_vital

hr:read

bp:read

ox:read

Eve

Prompt Pre-tool

Prompt Post-tool

EHR Guidelet

Monitor Guidelet

Pharma Guidelet

Relationships

Build Trust Through Transparency

Every agent specification synthesized is signed and logged making it verifiable and auditable.

Every decision, every connection, and every permission in the assembly process is traceable and reviewable.

Dynamic intelligence becomes a predicatble, governed process powered by our policy and context engine you can trust, not a black box.

"timestamp": 1762293197.932773,
"decision_type": "binding_rule_exclusion",
"decision": "exclude",
"reason": "MCP excluded by binding rule stack for node",
"context": {
  "mcp_id": "temperature_monitor_controls",
  "binding_rule_stack": [
    "major_system",
    "sub_system"
  ],
  "node_name": "smaller_lift_6"
}

Focused is Fast

Every team already works through who needs what and why. Contextual assembly channels that everyday decision-making into a living framework that is visible, explainable, and measurable. Reviews get faster, new tools reach users sooner, and post-incident analysis takes minutes instead of days.

IT & Security

Security reviews accelerate because every tool permission, resource scope, and relationship rule is documented by design. Permissions and bindings carry their rationale forward, eliminating guesswork and back-and-forth. The result is shorter reviews, fewer escalations, and traceable assurance that is easy to validate even after an incident.

Product & Design

New tools move from idea to user-ready in record time. Your product and design teams already ask what users need in each environment and what they don’t. By capturing those intent-driven answers in context, the platform assembles compliant configurations automatically. The result is faster rollouts, cleaner handoffs, and stable, governed deployments.

Incident Response

Every connection tells a story. Traceability means your team can pinpoint what changed, when, and why within minutes instead of days. Post-incident reviews become learning loops rather than firefights, reducing both recovery time and frustration.