The stack every AI builder needs.

Your company runs on manual ops — sales chasing leads, HR answering the same questions, finance waiting on invoices, content produced ad-hoc. You want to change that.

Deploy a family of AI agents per business function — Revenue, CS, Finance, Content, Developer. Every agent reads from and writes to a shared Nyas memory layer. After 12 months your company has institutional intelligence no competitor can replicate.

You have customers. They want document search, knowledge bases, or Q&A on their own data — inside your product. Building multi-tenant RAG from scratch takes 2 engineers × 6 months.

Two API calls. POST /ingest uploads documents for a tenant. POST /search retrieves semantically relevant chunks in <300ms. Each customer gets a fully isolated knowledge base. You ship the feature this sprint.

You're building an AI product and you need a vector database. Self-hosting pgvector is operational overhead you don't want. Managed services are either expensive or built for a different stack.

Instant Postgres + pgvector + S3-compatible storage. MCP-native so your AI coding tools can query and manage databases directly. Multi-tenant out of the box. The same infrastructure layer that powers Formulate RAG and Formulate Agent — available standalone.

You're building with AI tools (Cursor, Claude Code, Lovable). You can ship a prototype fast — but production requires a real database, real memory, real RAG, and someone to make the hard architectural calls.

The entire Formulate stack is available as API. Nyas for your database, Formulate RAG for document search, Formulate Agent for persistent AI workers, Formulate Context to preserve your team's decisions across sessions. And if you need CTO-level judgment, Vibe CTO starts at $2k/mo.