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The Context Layer
for Your AI

Connect your data sources, build a unified knowledge graph, and give every AI application the context it needs. One vault, infinite possibilities.

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The Problem

Your company data lives in silos: Gmail, Notion, Google Drive, Slack. Every AI tool you build needs context, but fetching and structuring that data is a nightmare. You end up building the same RAG pipeline over and over.

How It Works

Three steps to give your AI applications complete company context.

Step 1

Create a Context Vault

Define the scope of your knowledge base. Create vaults for different teams, projects, or use cases. Each vault is an isolated partition of your data.

Step 2

Connect Data Sources

One-click integrations with Gmail, Google Drive, Notion, Slack, and more. Data syncs continuously via webhooks. Always fresh, always up-to-date.

Step 3

Query with Context

Ask questions, build chatbots, power agents. Every AI application retrieves the right context through a single API. Built-in citations and source tracking.

Built for Scale

Enterprise-grade infrastructure for your knowledge layer.

Knowledge Graph

Entities and relationships extracted automatically. Query connections, not just documents.

Hybrid Search

Vector embeddings + graph traversal. Find relevant context even when keywords don't match.

Context Vaults

Partition data by team, project, or use case. Control exactly which context flows where.

Real-time Sync

Webhook-driven updates. Changes in your data sources are reflected within minutes.

Citations

Every answer includes source links. Know exactly where information comes from.

Single API

One endpoint for all your context needs. Replace dozens of custom integrations.

Use Cases

One context layer, infinite applications.

Internal Chatbots

Build AI assistants that actually know your company. Answer questions about projects, processes, and people with full context.

Sales Intelligence

Give your sales team instant access to customer history, past conversations, and relevant documents before every call.

Support Automation

Power support agents with product documentation, past tickets, and customer context. Faster resolution, happier customers.

Knowledge Search

Replace keyword search with semantic understanding. Find information across all your tools in one place.

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Contaixt

The context layer for AI.