AI Startups · build
Build shaped for AI Startups & ML Platforms: LLM-native engineering, real evals, and infra cost discipline. Full-stack site + app + automation + SEO build engagement (4–12 weeks).
service
Build
industry
AI Startups
timeline
4–12 weeks
mode
build
specific fit
Most AI startups burn the same way: a brilliant prototype, a six-month effort to "make it production," and an OpenAI bill that grows faster than revenue. Sage Ideas builds AI-native systems the way they should be built — RAG pipelines with measurable evals, prompt versioning under source control, LLM cost tracking per request, and the boring infrastructure that turns a demo into a real product.
The single-user prototype hits 50 RPS and falls apart — rate limits, hot keys, streaming connections that pile up, and timeouts that take the whole worker pool down. We harden the request lifecycle: queues, backoff, circuit breakers, and the model-routing layer that keeps latency budgets intact.
Marketing site (Ship-equivalent) Custom application (Next.js + Supabase / FastAPI) AI workflow automation (Automate-equivalent) SEO foundation + initial content
This route does not pretend the engagement includes native ios / android (we recommend a parallel native engagement), hardware / iot integrations.
route to revenue
Each page is unique to the service and industry pair, but the conversion path stays simple: qualify the problem, inspect proof, then book the right first move.
01
The buyer is looking for build in a AI Startups context.
02
LLM orchestration in production: tool-use, function-calling, structured output, multi-step agents, and the streaming UX that does not fall apart on retries — across OpenAI, Anthropic, Gemini, and open-weight models.
03
Build: 4–12 weeks, from $9,500.
04
Move into checkout or booking depending on whether the offer is self-serve.