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ContextWeave

From Data to Decisions – With Context.

Your AI is smart. But it has
no idea how your business works.

AI copilots answer domain-specific questions. Dashboards show metrics. Neither tells you why revenue dropped, which supply chain disruption caused it, or who is impacted downstream.

Data Fragmentation

Critical business intelligence is trapped across disconnected systems SAP, Salesforce, SCADA, GIS creating blind spots in every decision.

Context Deficit in AI

Your Salesforce AI can’t reason about SAP procurement delays affecting customer delivery timelines. Cross-domain context is invisible to AI.

Dashboard imitations

Charts show revenue is down 8%. They don’t show the pipeline maintenance in Region X that delayed delivery to three key industrial accounts.

Tacit Knowledge Loss

Decades of institutional wisdom decision patterns, tribal knowledge, cross-system relationships walk out the door with every retiring expert.

ContextWeave — Enterprise Context Intelligence Platform | VRIO DIGITAL
The Solution
Three pillars. One unified context layer.
ContextWeave doesn’t centralize your data — it creates a federated semantic layer that captures the complex relationships between entities across all your enterprise systems.
PILLAR 01

Knowledge Graph Studio

A visual, low-code environment where domain experts — not just engineers — model business entities, relationships, and decision logic.

  • Drag-and-drop visual graph editor with infinite canvas
  • Git-like versioning: branch, diff, merge, rollback
  • Collaborative editing with review & approval workflows
  • Industry-specific templates for rapid deployment
  • AI-assisted modeling that suggests entities & relationships
PILLAR 02

Federated Context Engine

A semantic unification layer that connects to your enterprise systems via adapters — creating a virtual unified graph without copying data.

  • Pre-built connectors: SAP, Salesforce, OSIsoft PI, SCADA
  • Zero data duplication — data stays in source systems
  • Query decomposition & parallel execution at runtime
  • Custom Connector SDK for proprietary systems
  • Respects data sovereignty & existing governance
PILLAR 03

AI Query Interface

Ask complex cross-domain questions in plain English and receive contextual, explainable, fully-sourced answers in seconds.

  • Natural language queries with multi-hop graph traversal
  • GraphRAG pipeline: structured graph + unstructured docs
  • Provenance & explainability on every answer
  • Proactive insight alerts on pattern changes
  • Decision trace capture for institutional memory
Architecture
Four layers. Zero data centralization.
Every query stays federated — metadata flows through ContextWeave, your data never leaves its home.
LAYER 04
Intelligence Interface
Natural language queries, provenance & explainability, proactive insight alerts for CXOs
LAYER 03
Context Engine
Graph traversal engine, GraphRAG pipeline, decision trace capture & institutional memory
LAYER 02
Knowledge Graph Studio
Visual editor, template library, version control, collaborative editing, AI-assisted modeling
LAYER 01
Federated Connector Framework
SAP · Salesforce · OSIsoft PI · AWS · GCP · Azure · ServiceNow · GIS · Custom SDK
Product Experience
Built for executives.
Loved by domain experts.

Visual Graph Editor

Infinite canvas with drag-and-drop entity modeling. Define assets, customers, regions, contracts, and their relationships visually — the system generates the ontology automatically.

Git-like Version Control

Create branches for experimental changes. Review visual diffs side-by-side. Merge with conflict resolution. Full audit trail with who, what, when, and why.

Provenance-Backed Answers

Every AI-generated answer includes source attribution, confidence scores, and an interactive trace showing exactly which systems and graph paths contributed.

Revenue $24.3M Pipeline Region X Customers 3 Accts Maint. Delayed 2wk SAP S/4HANA Contracts SLA at risk Regulatory NERC CIP “Why did Q1 revenue drop in the Northern region?” → PROVENANCE 3 systems traversed Confidence: 94%
Use Cases
Built for Municipal Water &
Wastewater Market Intelligence.
From contract expiration tracking to EPA compliance risk — ContextWeave connects your opportunity data, competitor intel, regulatory signals, and CRM in one unified context layer.
📋 Contract Intelligence
“Which competitor contracts in the Southeast are expiring in the next 18 months?”
Cross-Domain Traversal
Opp DB→Operator→End Date→Revenue Est.→CRM (SF)
🏆 Competitor Intelligence
“What is AECOM’s total market presence in Texas water and wastewater?”
Competitive Analysis
Competitor DB→Projects→Population Served→Revenue Est.
⚠️ EPA Compliance Risk
“Which active facilities in Florida have unresolved NPDES violations and no current operator?”
Regulatory + Opportunity
EPA (NPDES)→FRS Facility→Opp DB→Operator Status
💰 M&A Market Sizing
“What is the total addressable revenue for drinking water O&M in the Northeast?”
From Info to Inference
Opp DB→Scope (WTP)→Region Filter→Revenue Sum
📞 Contact Intelligence
“Who are the key decision-makers at the top 5 municipal utilities in California by population served?”
Stakeholder Mapping
Opp DB→Population Rank→Contact DB→Role / Title
📰 Reputation Risk
“Are there any negative news or public complaints about the Miami-Dade WWTP that could signal an RFP?”
Sentiment + Signal
Web Search→Sentiment→EPA Violations→Opp DB
Integrations
Federated connectors. Zero data duplication.
Connect to your entire stack — data stays where it belongs.
SAP SAP S/4HANA
Salesforce
OSIsoftAVEVA OSIsoft PI / AVEVA
AWS AWS
Google Cloud
Azure
ServiceNow
ArcGIS / QGIS
Workday Workday
ORACLE Oracle
{ } Custom SDK

Don’t see your system? Our open Connector SDK lets you build adapters for any proprietary or legacy platform.

Value Creation
How ContextWeave adds value
to the water & wastewater domain.
Turning disconnected data signals into decisions your BD, operations, and leadership teams can act on — before the competition does.
Before
BD teams manually scan contract databases, missing renewal windows buried in spreadsheets.
↓ ContextWeave ↓
After
Automated contract expiration tracking surfaces pursuit opportunities 6–18 months ahead of RFP release.
Contract intelligence
Before
EPA violation data and operator records exist in silos — no one connects compliance distress to sales pipeline.
↓ ContextWeave ↓
After
Cross-referenced NPDES violations and operator status generate pre-qualified leads for outreach.
Regulatory signal
Before
Competitor market footprint requires days of manual aggregation across IIR, news feeds, and CRM.
↓ ContextWeave ↓
After
Instant competitive maps by region, scope, and revenue — exposing white space and concentration risk in seconds.
Competitive intelligence
Before
Leadership asks for TAM sizing — analysts spend weeks building models from scratch across fragmented sources.
↓ ContextWeave ↓
After
Natural language TAM queries synthesize opportunity revenue by scope, geography, and timeline on demand.
Market sizing
Before
Account teams reach out to utilities without knowing who the actual decision-makers are.
↓ ContextWeave ↓
After
Stakeholder maps link ranked utility accounts directly to verified contacts by role and title.
Contact intelligence
Before
Negative press and community complaints about utilities go unnoticed until a formal RFP is already underway.
↓ ContextWeave ↓
After
Sentiment signals cross-referenced with EPA violation history surface municipalities under pressure — pre-procurement.
Reputation risk

Ready to weave context
into every decision?

Join the enterprises transforming how their leaders understand the business — from fragmented dashboards to unified, contextual intelligence.

Request a Demo