About
Integration specialists for engineering-led teams
475 Cumulus helps engineering teams ship LLM-powered features inside existing products — with the middleware, auth boundaries, and observability your team expects. We are not a model vendor, a chatbot SaaS, or an agency that drops a demo and disappears.
Most teams can wire up an LLM API in a week. Few can answer what happens when output quality regresses, a provider rate-limits during peak traffic, or security asks who accessed what context. That gap is integration work — and it is what we do.
Smallest correct pattern
Not every feature needs RAG, agents, or a vector database. We scope from your workflow and data boundaries — middleware, tools, or retrieval only when metrics justify the complexity.
Code in your repo
Production TypeScript or Python in your codebase — typed, tested, and reviewable. No black-box layer your team cannot extend or audit.
Ops-ready from day one
Structured logging, latency and cost tracking, fallbacks, eval pipelines, and runbooks — built alongside the feature, not promised for later.
Handoff by design
You own what we ship. Documentation and dashboards are written for your on-call and eng leads, not for ongoing dependency on us.
Who we work with
B2B SaaS companies, platform teams, and product engineering orgs that already have APIs, auth, and CI/CD — and need AI capabilities integrated without pausing the core roadmap.
Good fit
- In-app copilots grounded in product state and tenant data
- RAG and semantic search over your databases, docs, and APIs
- Tool-calling and agents wired to product APIs with RBAC
- Productionizing an existing POC that lacks middleware or evals
Not what we do
- Training foundation models or building a general-purpose AI platform
- Replacing your engineering team or owning core product roadmap
- Detached chat widgets with no workflow boundary or eval criteria
How engagements run
Phased delivery with clear outputs at each step — audit, architecture, build, operate. Your team stays on product; we own the scoped AI integration layer until handoff.
- 1
Technical audit of stack, auth, and the highest-value integration point
- 2
Architecture and prototype against your real APIs before full build
- 3
Production code, staging validation, and canary rollout behind flags
- 4
Monitoring, eval iteration, and optional expansion to the next workflow
See the full delivery model on our homepage or read practical guides in Resources.
Tell us about the feature
Share your stack, auth model, and target workflow. We will respond with an integration plan — API design, effort estimate, and what production-ready means for your system.
Get an integration plan