The Enterprise IQ Platform

Intelligence infrastructure that understands your enterprise.

Enterprise IQ builds a governed intelligence layer across your entire data estate — structured and unstructured, department to department. It unites Data and document intelligence, context management, federated orchestration, and interfaces your teams will actually use. Not in a pilot. In production, across your enterprise, in 12 weeks.

Compliance-ready architecture SSO/OIDC/OAuth Customer-managed keys 99.9% SLA
The problem nobody talks about

Your enterprise doesn't have an AI problem. It has an understanding problem.

You've invested in the models. You've evaluated the platforms. And yet — AI adoption across your organization remains stubbornly low.

The models don't understand your business. They don't know that "revenue" means something different in services vs. product. They don't know the relationships between your ERP, CRM, support tickets, and contract terms.

This is the application gap — the distance between having AI capabilities and actually using them across your enterprise. It's not a technology gap. It's a comprehension gap.
The Enterprise IQ architecture

Six components. Each with a clear job. One platform.

Every component is production-ready and deployed. No vaporware. No roadmap items. This is what exists today.

Intelligence Engine
DataIQ
Structured data intelligence. NL-to-SQL across 11 database types. RAG-based learning. 25+ MCP tools. Auto-learning from every query.
Intelligence Engine
DocIQ
Unstructured data intelligence. 32+ file types. 4 search modes. Automatic knowledge graphs. Research agent. 101 API endpoints.
Intelligence Gateway
ContextIQ
Classifies intent, routes to DataIQ, DocIQ, or both in parallel. Synthesizes unified answers. The understanding layer.
Orchestration
ContextForge
Federated MCP gateway. 135+ server catalog. Per-user RBAC. Virtual server composition. Full audit trail. REST-to-MCP translation.
User Experience
AssistIQ
30+ AI models, 8 providers. Custom agents. Visual workflow editor. Voice chat. Canvas mode. 7 languages. Built-in tools.
Admin Experience
EIQ Console
20-page management interface. Server catalog, training data, schema browser, collections, knowledge graphs, user management.
Platform detail

Not another AI tool. The layer that makes your AI tools intelligent.

DataIQ — Structured Data Intelligence

Ask a question in plain English. DataIQ generates SQL, validates it, executes it, and returns results with auto-detected visualizations. Supports 11 database types — your data stays where it is.

11 database typesPostgreSQL, MySQL, SQL Server, Oracle, Snowflake, BigQuery, ClickHouse, DuckDB, Presto, Hive, SQLite
25+ MCP toolsFull programmatic access for AI agents across query, training, schema, visualization, and utility layers
Auto-learningEvery correct answer trains future accuracy. Question-SQL pairs, schema context, and business documentation
Streaming + batchMemory-efficient streaming for large datasets (10× larger). Parallel batch processing (3-5× faster)

DocIQ — Unstructured Data Intelligence

32+ file types. 4 search modes. A research agent that reasons across multiple documents. And automatic knowledge graph construction that maps entities and relationships across your entire document estate.

32+ file typesPDF (including OCR), Office docs, email, code, audio, structured data, and more
4 search modesSemantic, keyword, hybrid, and knowledge graph search — configurable per query
101 API endpointsDocuments, search, RAG, chunks, collections, knowledge graphs, conversations, prompts, vector indices
Research agentMulti-turn reasoning across multiple documents — not single-shot Q&A. Iterative search, read, compare, synthesize

Knowledge Graphs — The Headline Differentiator

DocIQ automatically extracts entities (people, companies, products, dates) from every document ingested. It identifies relationships between them. It detects communities of related entities. It deduplicates references. And it makes the entire graph navigable and queryable.

Upload 10,000 contracts and DocIQ maps which vendors appear across the most agreements, which terms are non-standard, and where relationship patterns suggest risk or opportunity.

This is what Palantir's Foundry does for governments and Fortune 100s. Enterprise IQ makes it available to mid-market enterprises — at a fraction of the cost and timeline.

ContextIQ — The Intelligence Gateway

ContextIQ sits between the user and the engines. It classifies intent — is this a data question? A document question? Both? — and routes accordingly. When both engines are needed, it queries them in parallel and synthesizes a unified answer.

"Why did our deal close rate drop?" → ContextIQ routes to DataIQ (pipeline numbers), DocIQ (competitive intel, contract terms), and synthesizes an answer that no single system could produce.

ContextForge — Federated AI Orchestration

Your enterprise doesn't use one AI model or one vendor. ContextForge is a federated MCP gateway that governs all of it through a single control plane.

135+ MCP serversCurated catalog. One-click registration. Health monitoring with response time tracking
Per-user RBACServer, tool, and resource-level permissions. Rate limiting per user. Token-level scoping
Virtual server compositionCherry-pick tools from multiple servers into custom bundles per department
REST-to-MCP translationExisting REST APIs automatically become MCP tools. No code changes

AssistIQ — The AI Workspace

30+ models across 8 providers — switchable per message. Custom agents with @-mention invocation. A visual workflow editor for no-code intelligence automation. Voice chat. Canvas mode. 7 languages. Built-in tools for web search, code execution, visualization, and more.

30+ AI modelsOpenAI, Anthropic, Google, xAI, Groq, OpenRouter, Ollama, custom endpoints. Per-message switching
Visual workflow editorDAG-based. 8 node types: Input, Output, LLM, Condition, Tool, HTTP, Template, Note. No-code automation
Custom agentsDefined personas, curated tool sets, specific data access. @-mention invocation. Per-agent RBAC
Multi-modalVoice chat, canvas documents, image generation, image analysis, Mermaid diagrams, LaTeX math

EIQ Console — 20 Pages. Full Control.

The admin interface for the entire platform. MCP server management, 135+ server catalog, virtual server composition, query builder, training data management, schema browser, document management, collection RBAC, knowledge graph visualization, user management, system configuration, and an interactive API explorer.

Every enterprise buyer asks "how do I manage this?" EIQ Console is the answer.

In practice

Intelligence at enterprise scale.

Cross-Enterprise Intelligence
"Why did our enterprise deal close rate drop last quarter?"
One question. Five systems. An answer no single tool could produce.
Pipeline (CRM via DataIQ): Deal volume up 18%, but average size dropped 30%. More, smaller deals.

Support (Zendesk via MCP): 4 of 7 lost deals had open tickets. Three involved the same API v2 issue.

Competitive (shared drive via DocIQ): Two RFP losses cited a competitor's real-time sync capability.

Contracts (DocIQ knowledge graph): Closed deals shortened from 24 to 14 month terms. Buyers hedging.

Recommendation: Highest leverage: resolve API v2 issue (3 lost deals, $420K). Flagged to engineering. For the competitive gap, consider accelerating real-time sync.
Routed by ContextIQ across:DataIQ (CRM)DocIQ (docs)MCP (Zendesk)Knowledge graph
Governed Multi-Department Intelligence
Same data. Different permissions. Full audit trail.
Three departments. Three permission levels. ContextForge in action.
Sales asks: "Q3 revenue forecast?"
Pipeline-weighted forecast with deal velocity trends. ContextForge RBAC: pipeline data, aggregate financials, customer data. Audit logged.
Operations asks: "Fulfillment capacity against Q3?"
Capacity modeling with two vendor contract renewals flagged. ContextForge RBAC: supply chain, inventory, aggregate revenue (not deal-level). Audit logged.
Finance asks: "Margin impact if ops adds capacity?"
Three scenarios with vendor contract terms. ContextForge RBAC: all financial data, cost structures, vendor terms. Audit logged.
Three departments. Three permission levels. One governed infrastructure.
Intelligence That Finds You
Nobody asked a question. DocIQ detected a pattern.
Proactive intelligence, routed by role, fully documented.
To the CFO (email, 7:02 AM)
Vendor payments to Acme Logistics increased 34% month-over-month. Not explained by volume. DocIQ found invoiced rates are 12% higher than contracted — the rate card doesn't match. Estimated overpayment: $8,400/month. Contract clause and invoice comparison attached.
To Head of Procurement (Slack)
The Acme billing discrepancy traces to an October amendment not countersigned by your team. Rate increase appears unilateral. Recommend review before audit is requested.
Data from:DataIQ (AP)DocIQ (contracts)Knowledge graph (amendments)
Nobody asked. The understanding layer noticed.
Built for your security team

Enterprise intelligence, governed by default.

Authentication & Access
SSO/SAML via Supabase OAuth2. MFA. Custom RBAC with policy engine. API keys (sov_ format, bcrypt-hashed). 91% test coverage on auth.
Audit & Compliance
Full audit trail via OpenTelemetry — every AI interaction traced. SOC 2 certified. HIPAA-eligible. Custom compliance framework support.
Data Security
Encryption in transit and at rest. Customer-managed keys. Configurable data residency. Read-only access — Sovera never modifies source data.
AI Governance
ContextForge policy engine — per-user RBAC at tool/resource level, token budgets, model routing rules. Every MCP tool call governed and logged.
Why Enterprise IQ

You've evaluated the alternatives.

Build ItHyperscalersEnt. AnalyticsDept. BIEnterprise IQ
Time to value18-24 mo6-12 mo6-18 mo1-3 mo8-12 weeks
Understanding layerYou build itYou build itPartialNoneContextIQ
Knowledge graphsCustomNo$$$ add-onNoAutomatic (DocIQ)
Struct + unstructCustomSeparatePartialNoDataIQ + DocIQ
Multi-LLMCustomLockedNoNo30+ models, 8 providers
MCP-nativeNoEmergingNoNo135+ servers
Mid-market fitExpensiveComplexExpensiveLimitedPurpose-built
How we work together

A partnership, not a deployment.

Weeks 1–3
Discovery & Architecture
Map data estate. Understand departmental structure, decision workflows, governance. Design deployment. Security and compliance review.
Weeks 4–8
Build & Configure
ContextForge gateway. DataIQ training. DocIQ ingestion. Custom agents and workflows. Department-specific configurations. MCP server catalog setup.
Weeks 9–12
Deploy & Activate
Department-by-department rollout. Training sessions. Go-live support. Performance optimization. Executive readout.

Ongoing partnership

Named account manager
Solutions architect
Monthly agent tuning
Quarterly business reviews
Custom tool development
Unlimited training sessions
24/7 support, 4-hour SLA
99.9% uptime SLA
Get started

Your enterprise data has a story. Enterprise IQ understands it.

Talk to our team about building an intelligence layer that comprehends your data estate — structured and unstructured, governed and scalable, operational in 12 weeks.

Talk to Our Team →Download Architecture Brief

Custom scoping · Proof of concept available · SOC 2 certified