— / System07 · platform tier

Data & RAG Infrastructure.

The foundation layer. Vector databases, knowledge pipelines, hybrid retrieval, private LLM deployment, and the context infrastructure that determines whether your AI works at scale.

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Investment
Scoped after discovery
Fixed where possible · phased when it reduces risk
Timeline6–12 weeks
ScopeOutcome-defined
BillingMilestone-based
CoverageDefined in scope
— What's included
  • 01Data audit and ingestion pipeline architecture
  • 02Vector DB selection and deployment (Pinecone, pgvector, Turbopuffer)
  • 03Hybrid retrieval with re-ranking
  • 04Private LLM deployment option (BYOC)
  • 05Context packing and sub-agent orchestration
  • 06Eval harness with production-grade benchmarks
  • 07Documentation and handoff to your engineering team
— Ideal for

Teams already running AI in production whose retrieval, memory, or context layer is the bottleneck — or whose data volume requires private deployment.

Ready to ship it?

Clear scope, milestone pricing, and a responsible delivery plan—typically 6–12 weeks. Start the engagement with one form.

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12–24 weeks · Scope after discovery