What We Do
We unify structured (databases, APIs) and unstructured (PDFs, docs, Slack, etc.) data into one intelligent system. Our AI-powered engine enables:
- Semantic Search: Understands intent, not just keywords.
- Contextual Summarization: Converts complex data into clear, concise summaries.
- Agent Automation: Triggers smart actions based on search queries or API calls.
Why It Matters
In a world overflowing with information, enterprise teams struggle to find, use, and act on knowledge buried across systems. We fix that by:
- Reducing time to insight
- Increasing team productivity
- Improving decision-making through AI-generated context
How It Works
Our engine connects to your existing data sources and uses Retrieval-Augmented Generation (RAG) to:
- Ingest & Index: PDFs, databases, APIs, etc.
- Embed & Understand: Data is semantically understood via LLMs.
- Search & Summarize: Users get precise, contextual answers.
- Automate: Agents can call APIs, write emails, or create tickets.
Data We Work With
APIs (REST, GraphQL)- CSVs, SQL, Excel sheets
- PDFs, Word docs, HTML, PowerPoint
- Enterprise tools: Slack, Notion, Confluence, Jira
Built for the Enterprise
- SOC2 & GDPR-ready architecture
- On-prem or cloud deployment
- Role-based access control
- Transparent explainability
Developer-First
Use our unified API to embed AI features into your apps:
- Search
- Summarize
- Automate via Agents
- Contextual Chat
Make AI for All
Our mission is to democratize enterprise intelligence through explainable AI that works across any data, in any team, for any use case.