Platform

Powerful Features,
Simple Experience

Built for enterprise teams who need AI that actually connects to their systems

AI Chat

Conversational Intelligence
Across Every Data Source

Chat naturally with your enterprise systems. Connect databases, APIs, GitHub, Slack, AWS, email, and more as intelligent personas. Each persona understands your schema, enforces security policies, and delivers insights in plain language.

  • Eight providers — Bedrock, Anthropic, OpenAI, Google, Ollama, Vertex AI, Azure OpenAI, OpenAI-compatible
  • Streaming responses with real-time SSE
  • Session history, search, and export
  • SQL injection prevention & data masking
Show me revenue by region for Q4
◆ Snowflake Persona
Here's your Q4 revenue breakdown by region:

RegionRevenueGrowth
North America$4.2M+12%
EMEA$2.8M+8%
APAC$1.9M+23%
● Running Market Analysis Pipeline
searchResearch Agent✓ Done
analyticsAnalysis Agent● Running
descriptionReport Agent○ Pending
Cost: $0.42 · Tokens: 12,847
AI Workspace

Multi-Agent Projects
With Full Orchestration

Create AI teams that execute complex workflows. Define agents with specific roles, set execution order, add human-in-the-loop checkpoints, and track costs in real time. Built on the Claude Agent SDK, with every agent's model resolved through one governed chain.

  • Sequential multi-agent execution
  • Human approval checkpoints
  • Real-time cost & token tracking
  • Start from an org template or a blueprint — applied server-side
  • Artifact collection, export, and a run receipt
Code Studio

Five Job Modes,
One Governed Pipeline

Point a team of agents at a repository and pick the job: Migrate to a named framework version, Convert between languages, Enhance with a described feature, Audit without writing a byte, or Document into a downloadable bundle. Java, Spring Boot, Python, Node.js and .NET, with GitHub-connected source and target repos and WebSocket streaming throughout.

  • Five modes — Migrate, Convert, Enhance, Audit, Document
  • Audit and Document have no commit or push phase at all
  • Re-runs form a lineage you can compare on cost, tokens and outcome
  • A suggested agent team per mode, editable within that mode's tool grants
UserService.java → user_service.py
# Converted from Java Spring Boot
class UserService:
    async def get_users(self, filters):
        # Type-safe FastAPI equivalent
        users = await self.repo.find(
            filters, limit=pagination.size
        )
        return UserResponse.from_list(users)
schedule
Daily Sales Report Every day at 8:00 AM
Active
trending_up
Weekly Analytics Digest Every Monday at 9:00 AM
Active
notifications_active
Anomaly Detection Alert Every 15 minutes
Active
Automations

Scheduled Workflows
That Run Themselves

Set up AI-powered automations with cron scheduling. Generate reports, monitor metrics, detect anomalies — all running on your schedule with Celery Beat orchestration. No code required.

  • Cron-based flexible scheduling
  • Natural language automation setup
  • Multi-persona workflow chains
  • Execution history and monitoring

14 Enterprise Connector Types

Every persona is a secure bridge to your enterprise systems — 59 built-in tools across 13 tool classes

PostgreSQL 7 tools
storage MySQL 7 tools
dns SQL Server 7 tools
ac_unit Snowflake 7 tools
GitHub 6 tools
GitLab 6 tools
api REST APIs 5 tools
travel_explore Web Search 4 tools
account_tree MongoDB 6 tools
chat Slack 5 tools
mail Email 5 tools
cloud AWS Services 6 tools
hub MCP Servers 3 tools
image_search Image Analysis 1 tool

59 tools across 13 tool classes — each connector type comes with built-in actions your AI personas can use. A catalog entry only appears here if it actually loads tools: the platform's own regression suite fails the build if a listed connector would hand chat an empty tool list.

Why Teams Choose ContextuAI

Enterprise-grade capabilities that scale with your organization

security

Enterprise Security

MFA, SSO, ABAC, SCIM 2.0, API key management, PII detection, field-level encryption, AI governance, data retention, and complete audit trail. Security built in, not bolted on.

bolt

Real-Time Streaming

Server-Sent Events deliver AI responses as they're generated. No waiting for complete responses — see results instantly.

hub

Universal Connectors

14 connector types — databases, SCM, REST APIs, web search, messaging, cloud, and an admin-governed MCP registry. Connection pooling and async drivers for maximum performance.

psychology

Model Agnostic

Dynamic model selection across eight providers, reachable by any OpenAI-compatible tool through one governed /v1 gateway. Config-driven pipelines — no code changes needed to add new models.

savings

Cost Intelligence

Track token usage, API costs, and execution time per agent. Set budgets, get alerts, and optimize your AI spending.

speed

Async Architecture

Built async-first with FastAPI, Motor, and Celery. Handle thousands of concurrent sessions without breaking a sweat.

Start Building With
ContextuAI Today

Connect your enterprise. Empower your teams. Ship faster with AI.

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