The Enterprise Context Engine
Unify your relational databases, documents, and graph machine learning insights into one live Knowledge Graph. Deliver 100% grounded context to your AI agents, slashing prompt token costs by up to 90%, via the Model Context Protocol (MCP).
From stale silos to live meaning. Using the data you already have.
edgelayer turns fragmented enterprise data into a live knowledge graph — grounding your AI models in continuous, real-time context so they never operate blind.
Stream in
Departments stream live business data, documents, and operational signals directly into edgelayer.
Map and enrich
Our engine automatically maps multi-hop relationships and enriches the stream with predictive intelligence.
Flow back out
Relationship-aware context flows back out to your teams and AI agents — closing the loop from raw enterprise data to immediate execution.
edgelayer delivers the next-generation context infrastructure required to power safe, high-velocity enterprise automation.
The Enterprise Choice: Legacy AI vs. Next-Gen Autonomous Workflows
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Next-gen context & automation
The Enterprise Standard
Guesswork
Probabilistic document search leads to unpredictable agent actions and broken business processes.
Deterministic
Multi-hop graph traversal gives autonomous agents 100% grounded operational context, with complete audit lineage.
90% burned searching
Models spend up to 90% of their compute budget hunting for data across silos before taking a single action.
−90% token cost
Precise, high-signal subgraphs served via MCP let agents run long-horizon automations at a fraction of the cost.
Data leaves the building
Un-governed automations risk sending sensitive IP to third-party clouds or executing unapproved operations, and stall at the CISO.
Sovereign by design
Deploys natively inside your secure cloud, with strict ABAC governance over every agent action.
Scattered across silos
Business context is split across SQL and ERPs, unstructured documents, and real-time operational signals.
One context fabric
Automated schema and ontology discovery fuses all three into one active, unified Context Fabric.
Locked in one chatbot
Workflows are trapped inside a single vendor’s chat interface instead of running across your stack.
Runs across your stack
Streams live context and automation triggers to Claude, Cursor, Copilot, or custom machine-to-machine pipelines.
Accelerate AI adoption with total confidence. edgelayer delivers governed context, predictable reasoning, and complete security — making agentic AI safe, scalable, and cost-effective across your business.
Move beyond flat vector search. edgelayer automatically unifies relational tables, unstructured files, and predictive graph machine learning into an active knowledge graph. Enable multi-hop reasoning that uncovers critical business relationships standard RAG completely misses.
Stream live context directly into Claude, Cursor, Copilot, or custom AI tools via the open Model Context Protocol (MCP). Accelerate agent rollouts while slashing prompt token costs by up to 90% with zero workflow lock-in.
Eliminate compliance risk and hallucinations at the source. edgelayer runs entirely inside your secure company boundary — your sensitive data never leaves your perimeter, and every AI decision is backed by strict governance and full source auditability.
Rolling AI out in-house or delivering it for clients, edgelayer is the context layer underneath.
Building in-house
Six questions, sixty seconds. See where your data stands today, and which barrier to clear first.
Building for clients · consultancies & integrators
Stop rebuilding context pipelines for every engagement. Deliver sovereign knowledge-graph implementations on edgelayer, and scale your agentic AI practice.
From raw database silos to grounded agent execution in days, not months.
Secure, read-only connection to your enterprise data fabric: CRMs, ERPs, databases, and files. Deploys within your private perimeter with zero data egress.
Unlock true enterprise intelligence. edgelayer unifies your relational databases, unstructured files, and predictive models into a single, live Knowledge Graph—delivering precision context to your models, agents, and workflows while keeping everything governed, auditable, and within your private perimeter.
Check out our comprehensive video guide on how edgelayer transforms raw enterprise data into actionable AI context.
Automated Ontology Engine
edgelayer automatically inspects your enterprise data fabric — identifying entities, foreign keys, and implicit business relationships across relational databases and unstructured files without manual configuration.
Underneath every grounded AI output is an intelligent core that maps business relationships, resolves identity across silos, and enriches context with predictive intelligence.
Enterprise Context Fabric
Identity & Predictive ML
Deterministic Context Retrieval
Watch your enterprise data silos fuse into a single, interactive entity network. edgelayer gives your AI models complete structural context to reason with precision — without guessing.
edgelayer turns fragmented data silos into a live Enterprise Knowledge Graph — queryable in plain English or streamed directly to agents via native MCP.
Connect your enterprise data fabric, and edgelayer’s Enterprise Context Engine automatically maps your ontology — extracting entities, multi-hop relationships, and live operational signals.
Ask questions in plain English or let autonomous agents query the graph directly via MCP. Every response is grounded in operational fact, enriched with predictive insights, and backed by full source attribution.
Enterprise Data Connectivity
Native, read-only connectors for your enterprise CRM, ERP, SQL databases, cloud warehouses, and unstructured files. Deploys entirely within your private perimeter — ensuring sensitive data never leaves your company boundary.
edgelayer drops into the stack you already run, and goes from first pilot to enterprise-wide context.
Fits your stack
Enriches the chatbots built into your CRM and ERP instead of replacing them, and keeps your context out of any one vendor’s silo. No custom data pipelines, and a turnkey path from first pilot to enterprise-wide runtime.
Acts on its own
Machine-to-machine execution lets autonomous agents run governed workflows in milliseconds, with no one at a chat window.
edgelayer runs entirely inside your secure company boundary. Zero external data egress, period.
Containerised deployment directly inside your AWS, GCP, Azure tenant, or on-premise cluster. Complete control over your underlying infrastructure.
Read-only execution loops with zero external data transmission. Your proprietary enterprise data never touches third-party clouds or unapproved LLMs.
Attribute-Based Access Control (ABAC) filters context and tool execution in real time based on your existing Okta, OAuth, and enterprise security policies.
Full data provenance, deterministic lineage tracking, and immutable audit logs designed out of the box for SOC2, HIPAA, and ISO27001 compliance.
Where we’ve been writing and speaking about graph AI, and what comes after language models.
Co-founder Lee O’Brien speaks at AI Beyond Scale: The Case for New Approaches, an evening for leaders across AI, industry, investment and policy. His session: where LLMs excel, where their architecture reaches its limits, and what must come next.
The Royal Institution, London · By invitation
Lee O’Brien on why businesses behave like networks, not spreadsheets, and why the connections between records are increasingly where the most valuable insights live.
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