The persistent context layer for enterprise agents.
Agents can reason, plan, and execute. They still can't carry the enterprise with them. PRAE grounds every action in organizational reality, verifies what execution proves, and compounds validated knowledge into context the next agent inherits.
Foundation Models · Agent Frameworks · PRAE — Context Layer · Enterprise Systems · Observability
The architectural problem
Enterprise agents can execute. They cannot reliably carry the enterprise with them.
The result: agents operate against an incomplete model of the enterprise — and knowledge never compounds.
Fragmented
Context is scattered
Enterprise knowledge lives across systems, schemas, repositories, policies, and people. Agents typically see only a partial slice of it.
Ephemeral
Execution disappears
When an agent solves a hard workflow or surfaces an edge case, the context behind that success rarely outlives the task.
Repeated
Nothing compounds
The next execution rebuilds the same retrieval, state, rules, and memory from scratch. Effort duplicates. Failures repeat.
Aha · Execution control
The real kernel, in the page.
Same evaluator the gate calls on every tool call in a live profile — not a model of it. Edit the pack. Fire the scenarios. Watch the strongest rule win. Nothing is executed.
Runs entirely in your browser. No call leaves this page.
EU AI ACT art. 12 · NIST AI 600-1 · SOC 2 CC7.2
The PRAE model
Ground · Verify · Compound
Every verified execution makes the next execution better grounded. This is the loop PRAE runs continuously beneath your agent workforce.
Ground & execute
Deterministically constrain what agents can do before they act.
- Structural / AST grounding
- Schemas & business rules
- Permissions & policies
- Pre-execution validation
Verify & compound
Turn execution into trusted organizational intelligence.
- Capture execution evidence
- Test & verify discoveries
- Promote validated patterns
- Re-inject context into future agents
Agentic workforce
Agents don't execute against a prompt. They execute against a continuously compounding, governed context layer.
The agentic context layer
Five capabilities. One compounding layer.
Everything agents need to act with organizational fidelity — grounded, constrained, and continuously improving.
Structural grounding
Anchor organizational knowledge to the systems agents actually operate within — repositories, services, modules, symbols, dependencies, call graphs, execution paths, and architectural boundaries. Context becomes structurally grounded, not disconnected text.
Context compilation
No agent can consume the entire enterprise. PRAE compiles relevant knowledge into action-ready context — filtered by structural relevance, scope, trust, and task — so each agent gets exactly what the task requires.
Execution controls
Explicit constraints applied before and during execution — permissions, policies, business rules, architectural constraints, pre-flight validation. Not to make agents less autonomous. To make autonomy trustworthy.
Open the playground →Evidence & verification
Not everything an agent discovers is truth. PRAE captures execution evidence — tests, reproducible behavior, static analysis, independent corroboration — and evaluates discoveries against objective signals before they're trusted.
Enterprise ontology
Verified discoveries become structured, durable knowledge — architecture, workflows, constraints, failure patterns, and organizational rules. This is the compounding layer: every verified execution makes future ones better.
Evidence & verification
Knowledge earns trust. It isn't assumed.
Discoveries move through explicit trust states before they're allowed to influence future execution.
Candidate
An unverified observation or hypothesis surfaced during execution. Noted, not trusted.
Corroborated
Supported by repeated or independent evidence across separate executions.
Verified
Backed by tests, reproducible behavior, static analysis, or deterministic verification. Eligible to enter the ontology.
Only verified knowledge becomes durable organizational intelligence.
The moat
A mall gets bigger. A garden gets richer.
Hyperscalers provide the infrastructure mall — compute, models, orchestration, storage. Essential, and the same for everyone. PRAE cultivates the enterprise-specific intelligence that makes agents effective inside your organization, specifically.
- Compute
- Models
- Orchestration
- Storage & networking
- Generic AI primitives
Gets bigger. Same for every organization that buys it.
- Architecture & dependencies
- Business rules & workflows
- Verified discoveries
- Failure patterns
- Domain ontology
Gets richer with every verified execution. Specific to your organization — and impossible to buy off the shelf.
Get started
Give your agents a context layer that gets smarter with every execution.
For engineering leaders evaluating agentic infrastructure at enterprise scale.
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Agents execute.
PRAE makes sure they execute against what the organization actually knows, allows, and trusts.