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Developers

Knowledge infrastructure for enterprise AI.

Build internal assistants, copilots, agents, and applications on top of trusted organizational context.

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Enterprise retrieval infrastructure

Bring the right context into every AI experience.

BrainexAI is designed to give development teams a common knowledge layer for retrieval, metadata-aware filtering, source traceability, and access-aware AI applications.

IngestConnect and structure enterprise knowledge.
RetrieveFind semantic context across sources.
GroundAttach organizational knowledge to AI tasks.
VerifyReturn source context with the result.
Conceptual knowledge queryAPI shape
POST /v1/knowledge/query

{
  "question": "What changed in the Q3 roadmap?",
  "context": {
    "workspace": "organization",
    "access": "requesting_user"
  },
  "include_sources": true
}

→ grounded_answer
→ relevant_context
→ source_references

Illustrative interface. Production contracts may differ.

Developer primitives

Compose the knowledge layer your application needs.

Ingestion

Bring structured and unstructured enterprise information into a common knowledge layer.

Semantic retrieval

Retrieve relevant context using natural-language intent and organizational metadata.

Access context

Design AI experiences around user identity, permissions, and workspace boundaries.

Source metadata

Keep generated experiences connected to the knowledge behind them.

Orchestration

Provide context to assistants, agents, applications, and enterprise workflows.

Observability

Design for visibility into retrieval, context, sources, and application behavior.

01Connect knowledgeSources and metadata
02Retrieve contextIntent and access
03Power applicationsSearch, agents, workflows

Build with context

Give enterprise AI access to organizational knowledge.

Explore the PlatformView Use Cases