Company Brain - Unified AI Context Layer

Engineers waste time rebuilding context retrieval and memory management for AI agents across projects. This product centralizes data from all your apps into one queryable vector database that AI agents can access, eliminating the need to rebuild integrations repeatedly.

The explosion of agentic AI frameworks — LangChain, CrewAI, AutoGen — has created real fragmentation pain: every new agent project restarts the same context-plumbing work, and that cost is now measurable enough that engineering teams are actively budgeting for solutions. The closest substitute is Mem0, which handles memory persistence for AI apps, though it skews toward consumer-facing memory rather than enterprise multi-source context orchestration. The $5k–25k/mo revenue band is plausible if sold per-seat or per-data-source to mid-size engineering teams, but it assumes buyers treat this as infrastructure rather than a one-sprint internal build — and that's the core risk: most strong engineering teams will just build this themselves, or assemble it from Pinecone plus a few LlamaIndex connectors, before a vendor contract ever gets signed.