AI Product Development · San Francisco

AI Product Development
in San Francisco

LLM features that actually ship to users.

We ship AI features for founders in San Francisco — chat interfaces, RAG over your data, agents that do work, evaluations that tell you when the model is broken. Production-ready LLM apps, not demos. We use Vercel AI SDK, AI Gateway for model routing, and the eval tools that work in 2026.

Get a AI Product Development quote San Francisco overview

Engagement shape

From

$8,000

Flat price, quoted after 30-min call

Timeline

2–5 weeks

First production deploy

Senior engineer, named

Day 1

Code in your GitHub

Retainer, equity, lock-in

How this works

One AI-native engineer.
The output of a team.

One senior engineer plus AI agents now ships ai product development that used to need a four-person team. Same code quality, half the cost, three-week timelines instead of three months. Built for pre-seed to Series A founders in San Francisco who need to ship before the next round closes.

The local read

Why ai product development is hard in San Francisco

SF founders compete with OpenAI, Anthropic, and every Series B sitting on $200M in dry powder. A senior engineer offer that actually wins here is $400K all-in, plus relocation, plus equity refreshers. At seed stage that's most of the round.

One named engineer with AI agents now does what a four-person team used to. Three-week timelines instead of three months. Flat-price quote in 24 hours after a discovery call. Pacific Time, overlap with your Sand Hill investors and your early customers in the same window. Code in your GitHub from commit one.

Hiring one senior engineer here is a ~$310K year-one outlay and a 60–90 day search. Our ai product development engagement starts at $8,000 with a first deploy in 2–5 weeks.

Did you know · San Francisco

Y Combinator has funded over 5,000 startups since 2005. Combined valuation is north of $600B.

Time zone

--:--:--

Pacific Time. You can DM us at 9am and get a response at 9:01am.

Sectors in San Francisco

AI and ML infrastructureDeveloper toolsConsumer appsClimate techFintech

Stack we use

Vercel AI SDKAI GatewayAnthropic / OpenAI / GeminiPostgres + pgvectorInngest / Workflow DevKit

What you actually get

Concrete deliverables.
Live in 2–5 weeks.

No discovery phase that bills for itself. No Figma-only delivery. Every item below is something you can open, click, and ship to a user.

Streaming chat or agent UI with proper UX (interrupt, retry, citations)

RAG pipeline over your data — chunking, embeddings, hybrid search, citations

Provider routing via Vercel AI Gateway — Anthropic primary, OpenAI/Gemini fallback

Evals: a real test set, a deterministic CI check that catches model regressions

Observability: tool-call traces, token spend, latency per provider

Why us

Why founders in San Francisco pick us for this

We ship LLM features weekly — eval-first workflow, not 'ship and hope'

Model-routing day one so you're not locked to one provider's pricing or outages

RAG done with hybrid search + reranking, not naive embedding cosine similarity

Cost-aware: caching, model tiering (Haiku/Sonnet/Opus), budget alerts wired in

AI Product Development we've shipped

Founders we shipped ai product development with

Real founders, real product, real testimonials. The kind of ai product development work we'd do for you in San Francisco.

AI Tool · 2025

Irresistible Bot

The platform combines structured onboarding, intelligent prompts, and brand-specific logic to ensure every output is grounded in real context. The more details users provide, the better and more accurate the results become. This allows the AI to act as a true copy coach, not just a writing tool.

Visit the product

“I came to the team with a clear vision of what I wanted to build -- a coach bot that could truly reflect my voice, my methodology, and my years of experience in copywriting and coaching. Start Matter helped turn that vision into a real product, handling everything from the technical foundation to the branding elements like the logo and overall experience. What stood out most was how thoughtful and collaborative the process felt. The team asked the right questions, took the time to understand my brand, and helped structure the system in a way that makes the bot both powerful and easy for clients to use. It never felt generic -- it felt tailored to me and my audience. They also helped shape the onboarding and content flow, making sure the questions and prompts guide users to give meaningful input, so the results are genuinely useful and aligned with the message: "Let's Create Irresistible Copy Together." Start Matter didn't just build a tool -- they helped me bring my coaching approach into a scalable, digital format. I'm truly grateful for their care, clarity, and commitment, and I would absolutely recommend them to anyone building an AI-powered product rooted in real expertise.”

Vrinda Normand

CEO at Irresistible Online Marketing, Inc.

E-commerce Platform · 2023

Idlecorp

E-commerce platform with AI-powered product recommendations and personalized shopping experiences. Streamlined checkout and inventory management.

Visit the product

“I had the pleasure of working with Start Matter on Idle, Corp, where they helped bring our e-commerce vision to life. From the beginning, the team was professional, responsive, and deeply committed to delivering results. Start Matter handled the full e-commerce implementation, expertly translating our business needs into a seamless online experience and integrating payment systems that were reliable and user-friendly. What stood out most was their technical expertise and ability to navigate complex integration challenges with clarity and efficiency. The team communicated clearly throughout the process, ensured each step was aligned with our goals, and delivered on time. Thanks to Start Matter, our e-commerce platform is now fully operational and positioned for growth. I’m grateful for their partnership and would recommend them to any business looking for a dependable and skilled development team.”

Slava Shishov

Founder, Idlecorp

Health Platform · 2023

Brain.fm

Music platform designed to help focus, relax, and sleep better. AI-generated music optimized for cognitive performance and mental wellness.

Visit the product

“Working with Start Matter has been a fantastic experience. When we brought Start Matter into the Brain.fm project, we were looking for more than just developers — we needed a team that could think with us, help shape the product, and execute at a high level. Start Matter did exactly that and more. From early iterations to complex feature development, the team showed deep technical expertise, strong problem-solving skills, and a clear focus on delivering value. Communication was always open and honest, and they were great about adapting to changes and challenges without missing a beat. What really stood out was their ability to integrate seamlessly with our internal team and match our pace. They consistently delivered high-quality work and made sure we felt supported at every step. I'm very grateful for their professionalism, creativity, and commitment to excellence. I would highly recommend Start Matter to anyone who wants a reliable, skilled, and thoughtful development partner.”

Daniel Clark

Co-founder, Brain.fm

Deeper reads

Common questions about ai product development
in San Francisco

How fast can you start?

Most builds begin within seven days of the first call. We don't sell discovery — we go from problem statement to first deploy on the same day-one timeline.

Is the price really flat?

Yes. After a 30-minute call we send a single number and a scope you can accept or reject. No hourly billing, no change-order games. If we underestimate, we eat it.

Which AI provider do you use?

Default to Anthropic Claude (Sonnet for most cases, Haiku for cost-sensitive paths, Opus for the hard ones). All routed via Vercel AI Gateway so you can switch providers without code changes.

How do you handle hallucinations?

Evals on a held-out test set in CI, citation-required prompts where factuality matters, structured outputs (JSON schema) where the answer must be machine-parsable. Where users see free-form responses, we add 'why this answer' citations to the underlying data.

Who owns the code?

You do, from commit one. The repository is created in your GitHub org. Infrastructure is provisioned in your cloud account. We don't host your stack on ours and we don't lock you in.

More questions → /faq/ai · /faq/tech · /faq/cost

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