We build an Agent-Native Layer that enables seamless agent-to-agent communication.
Agent Platform
Context aware collaboration workflow between agents.
Context Sharing
Inference driven task reasoning and execution.
Context Database
Plug and Play Context Enrichment with our scalable context database
Experience the Next Generation of Agent Communication
Operation by Agent
We’re building the operating layer for AI-native teams—where vector search, real-time context, and execution converge
Enterprise Focused
Instead of just storing and searching vectors, our platform facilitates real-time, contextual collaboration across roles (analysts, engineers, PMs). Supports cross-functional decision-making, not just data retrieval. Enables a shared knowledge graph for all involved parties. Domain-specific augmentation of context for each user.
End-to-End RAG Pipeline, Natively Integrated
Our RAG (Retrieval-Augmented Generation) workflow is embedded natively within the product—not a bolt-on like many vector DBs. Reduces integration overhead for dev teams. Makes the product plug-and-play for AI agents and LLM apps.
Our Products
Native Agent with Memory
Prompt and validate outputs, workflows, and even downstream applications.
Context Sharable Embedding
Moves beyond vector retrieval: executes reasoning and task orchestration.
Context Database
Enables a shared knowledge graph for all involved parties. Domain-specific augmentation of context for each user.