- Model hosting
- Open-source LLMs running entirely on your infrastructure. No external API calls, no data egress, no vendor handshake to answer a question your team owns.
- Retrieval
- Agentic retrieval with multi-step verification loops and citation-bound responses, designed for legal, finance, and regulated R&D.
- Document ingestion
- Platform-native support for PDF, Office, Markdown, HTML, and plain text from file stores and standard repositories. Proprietary DMS connectors scoped per engagement.
- Deployment
- Self-hosted on-premises, private cloud, or sovereign-cloud. Auto-scaling resources match query volume and corpus size.
- Identity & access
- OIDC and SAML integration so retrieval respects existing repository-level and document-level access rules. The same query returns different answers for different people, by design.
- Audit & governance
- Query logs, citation lineage, model versions, and operator actions are surfaced for legal, risk, and platform teams. Human-in-the-loop checkpoints applied where the cost of a wrong answer is high.
- Custom models
- Roadmap includes distilled, domain-tuned LLMs trained privately on your corpus and deployed alongside it.