Knowledge Engines: Cognitive Infrastructure for Autonomous ENTERPRISES

Digital brains that enable agents to make complex decisions in high stakes environments.

SEE HOW AGENTS CAN HELP YOU
Proactively Counter Foreign Malign Influence In The Supply Chain
Shape The Information Environment
Detect & Remediate Cyber Vulnerabilities
Prevent Critical IT Outages
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Counter Foreign Influence in Supply Chain

Use I.K.E to build agents that detect and counter foreign malign influence in the complex global supply chain before onboarding vendors.

Problem

Vast and fragmented supply chain data makes it unrealistic for analysts to trace foreign ownership, control, or influence (FOCI) manually.

Solution

Analysts interact with Argus agents built by I.K.E to cut through millions of records, reasoning across entities, transactions, and networks to surface hidden FOCI connections.

Benefit

Reveal hidden FOCI threats in minutes—not days—even when they’re buried across fragmented supply chain records.

"DLA’s efforts showcase how AI-driven analytics enhance accountability, streamline investigations and preempt supply chain threats.”

- DLA Chief Information Officer Adarryl Roberts
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Shape The Information Environment

Use I.K.E to shape the information environment before deploying kinetic resources to maximize deterrence.

Problem

Narratives move faster than human teams can track across fragmented digital ecosystems.

Solution

I.K.E’s agents monitor narrative evolution and stance shifts across social media.

Benefit

Proactively surface the most important narratives and influence campaigns before they scale.

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Deploy Autonomous Hacker Agents to Test Systems

Use IKE to build teams of autonomous hacker agents that constantly attack proprietary systems to detect and remediate vulnerabilities in code before they are exploited.

Problem

Modern software changes faster than security teams can reason about, leaving exploitable vulnerabilities hidden across sprawling codebases until attackers discover them first.

Solution

I.K.E deploys teams of autonomous hacker agents that continuously probe proprietary systems, simulate real-world attacks, and reason across code paths to detect and remediate vulnerabilities before they can be exploited.

Benefit

Earlier vulnerability detection, faster remediation, and reduced breach risk—driven by continuous, adversarial testing that scales beyond manual audits and periodic scans.

“The shift from reactive security reviews to autonomous, continuous hacking fundamentally changed how we manage risk in our codebase.”

— CISO, Fortune 500 Company
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Deploy Agents to Automate Change Planning

Use I.K.E to deploy agents that can instantly approve or deny change requests by understanding the root cause of P1 and P2 server and router outages in complex IT ecosystems.

Problem

Modern IT environments evolve faster than human reasoning, leaving teams buried in tickets and dashboards that miss cascading failures.

Solution

I.K.E provides a dynamic context graph layer across ITSM, mapping upstream and downstream connections and reasoning over assets, changes, incidents, and dependencies in real time.

Benefit

Faster incident resolution, fewer outages, and shorter change planning cycles—driven by dependency-aware insights beyond manual review and keyword search.

“The ability to proactively identify IT risks has fundamentally changed our operational efficiency and service reliability.”

- Head of IT, Fortune 500 company
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Autonomous Talent Intelligence

Use I.K.E to create agents that decode underground signals to find tomorrow’s stars today.

Problem

The signals that predict breakout talent are buried across high-velocity streaming data, underground communities, fragmented social engagement, and siloed internal workflows.

Solution

I.K.E's agents reason across these signals to surface early patterns of momentum and influence.

Benefit

Identify emerging artists months before mainstream charts catch up.

“We’re finding the stars of next year, today. It has fundamentally changed our signing strategy by unlocking the ‘why’ behind emerging trends.”

- Head of talent, leading M&E company
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SHAPE NARRATIVES THAT DRIVE BEHAVIOR

Use I.K.E to create agents that detect emerging audience narratives across social platforms.

Problem

Information complexity across social platforms overwhelms biological reasoning—teams scroll endlessly and rely on keyword tracking that misses what audiences actually care about.

Solution

Accrete unifies data across social media platforms into a dynamic context graph, enabling agents to watch, listen, and read across posts, comments, video, and culture to identify the narratives that matter.

Benefit

Generate automated reports on specific audiences, networks, and narratives to uncover your next campaign, product improvement, influencer, and more.

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Security & Certification

8+ Years of Results
NIST 800-171 / 800-53 Aligned
FedRAMP Control Baseline Aligned
Continuous Monitoring & Auditing
CMMC

Knowledge Engines capture tacit knowledge by modeling how and why decisions are made, enabling systems to make those decisions autonomously—leading to autonomous enterprises.

How I.K.E Works

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.

Encode Tacit Human Expertise Into Autonomous Knowledge Engines

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.

Cognitive Infrastructure

Agents that finally understand the work.

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.

01 / Understand

Shared Business Context

Unifies siloed data like CRM systems, and internal tools into shared organizational context.

02 / Execute

Plan, Act, & Solve

Agents reason across organizational context to execute complex work, building persistent memory over time.

03 / Learn

Continuous Feedback

Agents evaluate outcomes, learn from feedback, and improve reasoning over time.

04 / Trust

Identity & Boundaries

Agents operate with identity, permissions, and guardrails in regulated environments.

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.

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Our Platform

Internal Knowledge Engine (I.K.E)

Knowledge Engine: The foundational cognitive infrastructure for encoding tacit domain knowledge into persistent organizational intelligence.

The Core Formula

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.

Avert Foreign Influence Supply Chain Threats

Knowledge Engine for Supply Chain Influence Risk. Agents detect and identify foreign ownership, control, or influence buried in massive, obscure supply-chain data.

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Shape Information Environments

Knowledge Engine for Narrative Intelligence. Agents reveal emerging narratives, influence campaigns, and enable streamlined analysis of siloed social media data.

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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.

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I.K.E for Enterprise (Nebula)

Drive real-time measurable ROI through adaptive, outcome-driven intelligence.

Automate IT Change Management & Thwart Cyber Threats

Agents proactively identify IT risks and prevent outages. Joint GTM with Snowflake and Databricks.

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Transform Marketing, PR, and Crisis Management

Agents track narrative shifts and protect brand equity. In partnership with Publicis and Weber Shandwick.

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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.

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News

The Quiet Battlefield: How Narratives Are Influencing U.S.–Venezuela Relations

U.S.–Venezuela tensions aren’t playing out in open conflict, but in the information space—where narratives shape legitimacy, resilience, and public perception. See how Argus for Social Media Influence tracks persistent messaging across platforms and reveals who drives it.

The RevOps Revolution: How Knowledge Engines Transform Revenue Operations

RevOps teams lose hours hunting for insights trapped across tools and spreadsheets. This post explores how AI-powered Knowledge Engines unify revenue data, improve forecast accuracy, surface deal risks early, and transform RevOps from reactive reporting to strategic growth.

Why RAG Isn’t Enough for Enterprise AI

Retrieval Augmented Generation (RAG) has become the default architecture for enterprise AI, but retrieval alone cannot support complex, ongoing decision making. This post explains why RAG is inherently reactive and how Knowledge Engines enable proactive, predictive intelligence at scale.

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