AI Product Development · Seattle

AI Product Development
in Seattle

LLM features that actually ship to users.

We ship AI features for founders in Seattle — 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.

Engagement shape

From

$8,000

Flat price, quoted after 30-min call

Timeline

2–5 weeks

First production deploy

1

Senior engineer, named

Day 1

Code in your GitHub

$0

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 Seattle who need to ship before the next round closes.

The local read

Why ai product development is hard in Seattle

Seattle founders have access to deep technical talent that's mostly busy. The candidates who do interview want AWS comp, or are leaving to start their own thing. Either way, your 90-day hiring cycle becomes 180.

Different math: one named senior engineer plus AI agents, Pacific Time, ships in two weeks. Flat-price quote after a 30-minute call. AWS-native by default — Bedrock, Lambda, DynamoDB, S3 — same stack your team already runs. Code in your GitHub from commit one. Walk away clean at the end.

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 · Seattle

Amazon employs more people in Seattle than the next nine largest local employers combined.

Time zone

--:--:--

PT

Pacific Time, same window as your team, your customers in Bellevue, and the Big-Tech mafia your investors keep mentioning.

Sectors in Seattle

AI and ML infrastructureCloud toolsB2B SaaSEnterprise techDeveloper tools

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.

01

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

02

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

03

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

04

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

05

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

Why us

Why founders in Seattle pick us for this

01

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

02

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

03

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

04

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 Seattle.

Campaign Refinery
SaaS Platform · 2024

Campaign Refinery

Campaign Refinery is an advanced email marketing and automation platform that focuses on helping businesses send better emails, improve deliverability, and drive real engagement. It combines powerful automation, smart list management, and deep analytics to make email campaigns more effective and easier to manage.

Visit the product
 Irresistible Bot
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
Idlecorp
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

FAQ

Common questions about ai product development in Seattle

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

Got a question about ai product development in Seattle?

Ask me anything.
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Valery Satsura

Valery Satsura

CEO · Start Matter · usually replies in minutes

Hey, I'm Valery. Ask me anything about working with us from Seattle.

AI Product Development elsewhere

We ship ai product development for founders in

Ready when you are

Ship ai product development in Seattle
in 2–5 weeks.

30-minute call → flat-price quote in 24 hours → first deploy inside two weeks.