Listen · Explain · Act · Prove
Intelligence that compounds with every decision, every document, every day. LEAPWare builds the governed knowledge platform, chartered AI workforce, and synthesis engine that gives your organization cognitive superpowers — so the mind that was always scattered across people, docs, and tribal knowledge finally wakes up.
By the Numbers
The Problem
Every major agent framework shares the same fatal assumptions. LEAPWare exists because someone has to fix them.
AutoGen, CrewAI, LangGraph — they ship agents that act without a policy engine evaluating authorization before execution. Governance is a prompt instruction, not an architectural enforcement layer. One hallucination away from catastrophe.
Mem0, Letta, Zep bolt memory onto models. But memory is not intelligence. No framework stores knowledge at multiple resolution levels, serves the right depth per-task, or enforces access control at query time based on agent role and data classification.
The market builds individual agents. Organizations need workforces — chartered roles with authority boundaries, escalation rules, cross-cutting advisory, and a synthesis layer that detects when your experts disagree. No one has built this.
The Intelligence Cycle
LEAP is the engineering philosophy wired into every system we build. Not a tagline — a structural commitment.
Observe before thinking. Fresh data, real-world context, verified state. No stale assumptions. Every intelligence cycle starts with honest observation of what is actually true right now.
Show the work. Human-readable reasoning with citations to source knowledge — calibrated to the audience. Simple for founders, technical for engineers, complete for auditors. No black boxes.
Execute under governance. Every consequential action validated against Cedar policies before it fires. Approval workflows, authority boundaries, and audit trails are architectural — not prompt-level guardrails.
Verifiable records for everything. Every decision traceable to the knowledge that informed it, the agents that contributed, and the human who approved. Intelligence you trust because you can verify every claim.
Product Stack
Each product consumes the ones before it. The entire stack dogfoods itself.
Seven architectural pillars. Nine typed knowledge objects with enforced schemas and dependency graphs. A Cedar policy engine evaluating every access request in <10ms. A configurable VIRT workforce with chartered roles. A Synthesis Engine that reads cross-domain intelligence, detects where your experts disagree, and delivers a daily Brief with citations.
Active BuildBilling, identity, feature flags, operator portal, customer portal — 17 capability domains in one governed platform. Three tiers. Sold standalone and bundled. Replaces the Stripe + Auth0 + LaunchDarkly stitching pattern that every SaaS company regrets building.
Active BuildContainer-isolated agents. Cedar policy enforcement. Cortex-connected intelligence. Full VIRT orchestration. LEAPWare dogfoods Hive for its own workforce.
VisionSpec in, tested code out — under governance. SW dev VIRT templates, holdout scenarios, Digital Twin provisioning, build pipelines with policy gates.
VisionAutomates the 54-domain, 12-tier specification process with governed VIRT teams. The process that built LEAPWare — turned into a product.
VisionCompetitive Moat
We assessed Letta, Mem0, Zep/Graphiti, Hindsight, LangMem, and Cognee. None address governance, resolution, or workforce orchestration.
| Capability | Letta | Mem0 | Zep | Hindsight | LEAPCortex |
|---|---|---|---|---|---|
| Governance-enforced retrieval (ABAC) | — | Tenant only | — | — | ✓ Cedar |
| Multi-resolution knowledge serving | — | — | — | — | ✓ |
| Published Intelligence synthesis boundary | — | — | — | — | ✓ |
| Experiential knowledge extraction pipeline | — | — | — | — | ✓ |
| VIRT-scoped context distribution | — | — | — | — | ✓ |
| Dual-protocol (MCP + A2A) with governance | — | — | — | — | ✓ |
Assessment based on published documentation and APIs as of March 2026. Competitive capabilities evaluated against LEAPCortex architectural specification.
Intellectual Property
Covering AI governance architectures, knowledge graph structures, agent orchestration, policy enforcement systems, synthesis engines, and multi-resolution knowledge serving.
Governance-enforced knowledge retrieval. Cedar ABAC policy evaluation at the query boundary. Experiential Knowledge extraction with closed-loop organizational learning.
VIRT Template Pipeline. Organizational Digital Twin architecture. Multi-resolution knowledge objects with dynamic context assembly. Dual-protocol governance serialization.
Disagreement detection across AI agents. Cross-domain synthesis with provenance chains. Knowledge Health Score with autonomic maintenance. Brief generation with citation graphs.
Patent Pending — All applications filed as provisional utility patents with the United States Patent and Trademark Office.