Build enterprise AI apps on one runtime

Build AI applications on top of your company data, in one integrated system

Build enterprise AI apps on one runtime

Build AI applications on top of your company data, in one integrated system

Build enterprise AI apps on one runtime

Build AI applications on top of your company data, in one integrated system

Developers

Build on one framework

Everything runs together, so there are no separate tools to integrate or maintain

How it works

Build AI applications on company data

Use company data as context across search and AI, in one system on your infrastructure

Structure your data

Knowledge Graph

Model entities and relationships in your data

Data enrichment

Extract and structure data with NLP models

Integrations

Connect your systems and data sources

Interact with your data

Search

Query data with keyword and semantic search

Embeddings

Power similarity search and retrieval

Agents

Build agents with tools and data access

Extend and operate

Extensibility

Add custom logic, APIs, and interfaces

Developer tools

Build and manage with APIs and admin tools

Security

Control access, permissions, and deployment

Questions for developers

Common questions from developers building on Curiosity.

Which model does Curiosity run?
What can I build on Curiosity?
How does the knowledge graph work?
Can I run models on my own system?
Can I connect custom data sources?
How do I build agents?
Can I extend the platform with custom logic?
Can I run Curiosity on my own infrastructure?
How are permissions enforced in what I build?
How do search and embeddings work together?
How do I get started?

Connected knowledge for AI systems

Connected knowledge for AI systems

Connected knowledge for AI systems