CONTEXT01
The Context Gap
Foundation LLMs ship without localized corporate history, tribal knowledge, or department dependencies. Without an organisational graph, every output is shallow — confident answers built on missing context.
FAILURE MODE
ORGANISATIONAL INTELLIGENCE INFRASTRUCTURE
Turn Corporate Chaos into AI-Readable Infrastructure.
Before you deploy AI agents, build an environment they can actually understand. Ingest unstructured data, clone existing active directory permissions, and sweep out corporate digital rot within a single, secure, human-verified Knowledge Graph.
- SOC 2 · ISO 27001
- Audit-grade
- RBAC INHERITANCE
- AD / Entra ID
- DEPLOYMENT
- VPC / On-prem
NERVEX / DIAGNOSTIC
Organisational AI-Readiness Score
LIVE
0%
MAPPED
Structural Alignment0%
Data Cleanliness0%
Permission Fidelity0%
NODES INDEXED · 142,308Δ +1,204 / 24h
↑ DIAGNOSTIC SNAPSHOT · TENANT: ACME-CORP
— The Diagnosis
Why Enterprise AI Deployments Fail on Day One
Three structural failures show up before the model is even prompted. Nervex closes each one at the infrastructure layer — not at the chat interface.
SECURITY02
The Security Wall
Generic AI tools cannot enforce user-level permissions (RBAC) dynamically. The moment an agent reasons across documents, it leaks data across role boundaries — a massive compliance and liability surface.
FAILURE MODE
ENTROPY03
The Corporate Rot Trap
Flooding an AI with outdated drafts, duplicate spreadsheets, and orphaned wiki pages amplifies organisational noise. The model doesn't fix your mess — it learns it, then repeats it at scale.
FAILURE MODE
— The Platform
Four modules. One verified Knowledge Graph.
Each module operates on the same human-verified substrate — so anything an agent reads is permissioned, deduplicated, and traceable to source.
M.01 · MATURITY DASHBOARDTENANT: ACME-CORP · ENV: PROD
62%
84%
71%
49%
GLOBAL TELEMETRY · 24H STREAMING
00:0006:0012:0018:00NOW
— Reference Architecture
The Nervex Middleware Engine
A semantic and memory substrate that sits between raw enterprise systems and every downstream model, copilot, or autonomous agent.
TIER 01 · INGESTION ECOSYSTEM
M365
SharePoint Drives
CHAT
MS Teams Chat Streams
OPS
Jira & CRM Databases
SMB
Legacy File Repositories
TIER 02 · SEMANTIC & MEMORY CORE
v4.2 · ENGINENERVEX ENGINE
The Semantic & Memory Core — authority, vector chunking, and topology unified beneath one validated graph.
PostgreSQL Authority Layer
Metadata Vector Chunking
Neo4j Topology Knowledge Graph
CONTINUOUS HUMAN VALIDATION & DATA HYGIENE ACTIVE
TIER 03 · INTELLIGENCE CONSUMERS
Native Nervex Workspace
& Interaction Layer
Cited semantic search, org topology browser, validation queues.
Enterprise Copilots & Frontier LLMs
OpenAI · Anthropic · Azure OpenAI
Permission-isolated retrieval served through a single semantic API.
Custom Autonomous Workflows
& Agentic Execution Pipelines
Programmatic graph access for in-house agents and orchestration runtimes.
— Performance Economics
Dual-Speed Architecture: High Performance, Low Compute Overhead
Engineered for Enterprise Scale.
Architected for Enterprise Budgets.
Running continuous, real-time AI reasoning over millions of moving corporate data points is traditionally an economic bottleneck. Nervex splits processing into a dual-speed data pipeline to keep your context fresh and your compute costs entirely predictable.
THE INFRASTRUCTURE BOTTOM LINE
Nervex delivers a 93% reduction in ongoing compute overhead compared to un-optimized real-time graph frameworks.
SPEED 01 · REAL-TIME STREAM
⚡ Real-Time Streaming (Fast & Cheap)
Daily communication signals like Teams messages and Jira updates are instantly vectorized via low-cost stream processors. This maintains second-by-second context without spiking server resources.
SPEED 02 · NIGHTLY TOPOLOGY SYNTHESIS
🔄 Nightly Batch Synthesis (Deep & Structured)
Every night, our heavy structural engine runs to compute deep hierarchical relationships, compile version controls, and lock the validated data into your permanent Neo4j Knowledge Graph for a predictable, fixed utility cost.
TRUSTED DEPLOYMENTS
Deployed inside regulated industries
Financial services, pharmaceuticals, telecom, defense — environments where context and permissions cannot be optional.
MYCIRCLE FINANCE
VANTAGE FUND
HELIOS PHARMA
ZOJAPAY
OBELISK SECURE
ZAPPIN
ROADGUARDIAN
NEUTRON CORPORATION
8.4M
DOCUMENTS NORMALIZED
31%
ROT CLEARED ON DAY-30
0
RBAC BREACH INCIDENTS
93%
LOWER COMPUTE SPEND
“We had three failed copilot pilots before Nervex. Turns out the LLM wasn't the problem — our context was. Now agents finally answer like someone who's worked here for ten years.”
“The dual-speed pipeline is what sold our CFO. Predictable compute, real-time recency, zero retraining surprises in quarterly review.”
— Enterprise Governance
Enterprise Architecture & Governance FAQ
Answers to the technical questions security architects, data governance leads, and platform engineering teams ask before signing a pilot agreement.
— Pilot Program
Is Your Organisation Ready for AI?
Request an isolated, 30-day targeted pilot. We will map a single department and deliver an explicit AI-Readiness Diagnostic Report.
- ISOLATED VPC · NO TRAINING ON CUSTOMER DATA
- WITHIN-PERIMETER DEPLOYMENT (AWS / AZURE / GCP)
- WRITTEN DIAGNOSTIC + EXECUTIVE READOUT
- NO PROCUREMENT REQUIRED FOR PILOT PHASE