Digital brains that enable agents to make complex decisions in high stakes environments.
Security & Certification
Information complexity is accelerating beyond biological reasoning capacity.
As complexity grows, it becomes impossible to know what to search for—or to understand the world—without super intelligence.
Knowledge Engines capture and scale tacit knowledge by understanding why decisions are made so that agents can make better decisions faster - enabling autonomous enterprises.
Replaces fragmented systems with one pane of glass.
I.K.E is your internal knowledge engine that organizes fragmented systems of record, tacit knowledge, and decisions into a universal source of truth that enables agents to reason globally and make decisions too complex for humans to make.
Unifies Legacy Systems, Siloed Data, and Tacit Knowledge
Sits on top of data silos to provide a unified pane of glass. Learns from employees’ decisions to build the initial context layer.

Understands Reality and Connects Multi-Modal Data
Ingests multimodal data, builds an autonomous graph, discovers hidden relationships, and gives agents global reasoning and persistent memory.

Universal System Of Record That Establishes Ground Truth
Absorbs organizational context, replaces fragmented legacy systems, and grounds agents in a universal system of record.

The gap between AI capability and real-world deployment is growing.
Models are getting smarter, but enterprises aren’t keeping up. AI has enabled 75% of workers to do more—yet the gap grows as agents remain isolated, ungoverned, and disconnected from the tacit knowledge of an organization’s most trusted people, leaving them without the expertise and judgment required to operate an autonomous enterprise.
“Every new agent adds complexity without shared context. More agents means more fragmentation — not more value.”
The Problem of Fragmentation
Agents are everywhere. Context is nowhere.Without shared organizational understanding, each new agent adds friction.
Context is the Hurdle
Model performance improves rapidly, but deployment is bottlenecked by missing institutional knowledge and organizational memory.
The Pressure to Lead
The gap between AI leaders and everyone else is accelerating. Success requires moving past demos to agents that function as dependable teammates.
Beyond Isolated Use Cases
Isolated agents fail because every integration is a one-off and every permission is a bottleneck. Agents need a unified cognitive framework to reason and act across systems.
Agents that think before they speak and act.
Accrete’s Knowledge Engines give agents what they need to succeed: shared context, continuous learning, and clear boundaries. This is the cognitive infrastructure that bridges generative AI to real-world superintelligence.
Shared Business Context
Perception layer enables the ingestion of multi-modal unstructured data and capture of tacit knowledge through observation and natural interaction.
Plan, Act, & Solve
Discovers hidden relationships in siloed data and fragmented legacy software systems too complex for humans to discover.
Continuous Feedback
Dynamic context, memory, and perception layer lets agents reason across discovered relationships between information silos and fragmented systems.
Identity & Boundaries
Generate new knowledge and insight that can't be searched.
Plan, Act, & Solve
Apply new knowledge and insight to make complex decisions.
Continuous Feedback
Take action based on decisions and measure effectiveness of decisions.
Build your own custom agents with I.K.E.

900+ Integration's. One Dynamic Context Graph
I.K.E connects to your existing systems and unifies structured and unstructured data into a dynamic knowledge graph.

Build & Deploy
Expert Agents in Seconds
Describe the outcome you want.I.K.E provisions the agent, connects the data, and deploys it to plan, reason, and execute real work.
Proven in High-Stakes Environments
From autonomous cyber agents built by former NSA operators to revenue intelligence agents at global enterprises —I.K.E agents operate across silos, plan actions, and deliver outcomes.
Ready to build your first AI workforce?
Interact with I.K.E in natural language through chat paired with forward-deployed engineers to create a secure infrastructure of custom agents that are capable of completing real meaningful work in complex environments.
Internal Knowledge Engine (I.K.E)
Knowledge Engine: The foundational cognitive infrastructure for encoding tacit domain knowledge into persistent organizational intelligence.
Persistent Memory
+ Global Reasoning + Tacit Knowledge
= Universal System of Intelligence
A dynamic context and memory layer powered by an autonomous knowledge graph that sits on top of legacy systems and siloed data — capturing why decisions are made and encoding tacit expertise into a universal ground truth for long-term reasoning.
Expert Agents
Global reasoning across your entire organizational context, driving real-time, measurable outcomes.
Long-term Memory
Continuously learns from every decision, encoding the provenance of reasoning into persistent organizational intelligence.
Dynamic Context Graph
Discovers hidden relationships in fragmented data and systems, building a dynamic ground truth that supersedes legacy infrastructure.
I.K.E for Government (Argus)
Knowledge Engines enable government agencies to solve complex problems including application fatigue, knowledge loss through employee attrition, and reactive decision making by autonomously unifying data silos, tacit knowledge, and legacy systems into digital brains that give agents the ability to attack gray zone threat vectors before they emerge.
Build your own agents in secure environments
I.K.E enables U.S. Government agencies to build and deploy trusted agents to perform complex work that requires autonomous decisions.
I.K.E for Enterprise (Nebula)
Drive real-time measurable ROI through adaptive, outcome-driven intelligence.
Build your own agents in secure environments
I.K.E enables organizations across all industries to build and deploy expert agents to perform complex work that requires autonomous decisions.














