AI development in Seattle, built for the way Pacific Northwest businesses actually operate.
UW-trained engineers. AWS-deployed knowledge systems. Websites optimized for Google AND AI search. Based in Seattle, accountable to your team, building software that quietly works every day.
A Seattle AI partner is meaningfully different from a generic agency.
Geography, time zones, and ecosystem proximity translate into real engagement quality — not marketing copy.
Pacific timezone alignment
Same business hours as your team. Real-time collaboration during your workday — not async hand-offs across 9-hour gaps that turn a 1-hour decision into a 3-day round trip.
Proximity to AWS us-west-2
AWS's largest non-Virginia region is in Boardman, Oregon — a few milliseconds from Seattle. Knowledge systems and AI inference deployed to us-west-2 serve Pacific Northwest users with the lowest latency available anywhere on the continent.
UW Allen School engineering bench
Both founders trained at the University of Washington's Computer Science programs. The Pacific Northwest tech ecosystem — Microsoft, Amazon, Allen Institute, Vulcan, plus the UW research labs — produces talent that local agencies can hire from but offshore agencies cannot.
In-person accountability when it matters
Most engagements are remote-first because that's efficient. But when a sensitive enterprise rollout, a security review, or a key stakeholder presentation calls for it, we show up at your office. That option doesn't exist with offshore vendors.
Three categories of work, all production-grade, all on your infrastructure.
Seattle-headquartered, UW-trained, accountable to the local market we serve.
We're registered, taxed, and operating in Washington state. Our address is real, our phone is real, and you can meet us in person. None of that is true of most agencies returning for “AI developers Seattle” on Google.
- Founded
- 2026, Seattle, WA
- Headquarters
- 525 S Brighton St, Seattle, WA 98108
- Founders
- Bar Itshaki (CEO) & Eric Du (CTO) — both University of Washington Computer Science
- Service area
- Pacific Northwest primary; nationwide engagements accepted
- Stack
- Next.js, TypeScript, Tailwind, AWS (ECS + RDS), Vercel
- Specialty
- Production AI knowledge infrastructure, search-optimized websites, customer-facing AI
Pacific Northwest sectors with the highest AI leverage.
Where data sovereignty, regulatory compliance, and operational continuity actually matter.
Healthcare & life sciences
HIPAA-eligible AI knowledge systems for clinics, research labs, and digital health startups across the Puget Sound. Audit trails, access controls, and infrastructure designed to pass compliance review.
Legal & professional services
Document and contract knowledge systems for Seattle law firms and consulting practices. Attorney–client privilege preservation, on-premise or VPC-isolated deployment, no third-party data routing.
Real estate & property management
Internal knowledge systems for portfolios, listing platforms, and customer-facing inquiry handlers. Bellevue, Redmond, Capitol Hill, and Eastside agencies handling multi-million-dollar transactions.
Tech startups (pre-seed to Series B)
Production-ready AI infrastructure for founders who need to ship a working product, not a demo. We've built for Seattle AI infrastructure platforms and shipped MVPs that became real revenue.
Community & nonprofit organizations
Modern websites and AI tools for Pacific Northwest nonprofits, festivals, and student organizations. Past work includes Medina Days (community festival platform) and ESEC at UW (student org website with 100+ members).
Mid-market B2B services
Service businesses underserved by SF and NYC agencies. We build to your operational reality — not a generic agency template — and you keep the code and data after delivery.
Five stages, no surprises.
Every Seattle engagement follows the same structured path. You can stop at any stage if it isn't working.
- Stage 01
Initial conversation
30-minute call to understand the business problem, the data you have, and what success looks like. No sales pitch, no commitment. - Stage 02
Feasibility assessment
We review your data and use case for AI suitability before any development begins. About 1 in 3 prospects we steer toward a non-AI solution because that's what their problem actually needs. Honest assessments cost nothing. - Stage 03
Validation pilot
Scoped MVP with a subset of your data, deployed on the final architecture so it scales without rebuilds. You interact with it hands-on before committing further. Pilot fees apply against the full engagement if you proceed. - Stage 04
Full deployment
Production system on infrastructure you own, ingestion expanded to all approved data sources, security review complete, code documented and handed over. - Stage 05
Optional ongoing support
Monthly retainer covers maintenance, accuracy monitoring, and adding new data sources. Optional — you can also take full ownership and run it yourself.
“AI developer near me” is a real search, and it's growing.
Three years into the generative-AI era, Pacific Northwest businesses have learned what doesn't work: black-box AI services that route confidential data through opaque vendors, “AI consultants” with no production engineering bench, and offshore agencies that ship demos rather than infrastructure.
What does work: AI systems built on infrastructure the client owns, by engineers the client can call directly, with code the client keeps after delivery. That's the structural shift driving local AI development demand in 2026 — and it's why “Seattle AI developers” is increasingly a deliberate search rather than a generic one.
We built this company specifically for businesses making that shift. Local accountability, local engineering, AWS-deployed knowledge infrastructure, and websites engineered to be found in both Google and AI search. Not a novelty practice. Not a side hustle. A studio dedicated to making AI quietly work for Pacific Northwest organizations every day.
What Seattle businesses ask before engaging.
Honest answers to the questions that actually matter when comparing Seattle AI development partners.
01What does Seattle AI Developers actually build for local businesses?
We build three things: search-optimized websites, internal AI knowledge systems for employees, and customer-facing AI interfaces for visitors. Every project ships on infrastructure you own — AWS, Azure, or your private cloud — with code you keep.
02Why hire a Seattle-based AI development team instead of an SF or NYC agency?
Time-zone alignment, in-person meetings when needed, and proximity to AWS us-west-2 in Oregon for low-latency deployments. We work directly with the engineers building the system — no offshored development, no account managers between you and the code.
03Do you only work with Seattle clients?
We focus on Pacific Northwest businesses (Seattle, Bellevue, Redmond, Tacoma, Portland) but accept engagements with organizations elsewhere. The Seattle focus reflects where most of our clients are, not a hard restriction.
04What industries do you have AI development experience in?
Legal, real estate, healthcare, professional services, community organizations, and tech startups. Our portfolio spans student organizations (UW), community events, and AI infrastructure platforms. We sign NDAs to discuss enterprise engagements.
05How does AI development in Seattle differ from generic offshore web development?
Two things: data sovereignty and accountability. Seattle businesses subject to Washington state privacy law, HIPAA, or financial regulations cannot afford AI systems that route data through unknown vendors. We deploy on infrastructure you control with audit trails and compliance-ready architecture.
06How much does a custom AI system cost for a Seattle business?
Marketing websites typically range $8,000–$25,000. Internal AI knowledge systems and customer-facing AI interfaces start around $20,000 for the validation pilot and scale based on data complexity, integrations, and security requirements. We provide fixed scoped quotes after the feasibility assessment.
07What's the engagement timeline for a Pacific Northwest client?
Marketing sites ship in three to six weeks. AI knowledge systems and custom web applications run six to sixteen weeks depending on data complexity. The four-stage process is feasibility assessment, validation pilot, full development, then delivery with optional ongoing support retainer.
Ready to talk about an AI project in Seattle?
Tell us what you're trying to build. We respond within 24 hours, in your time zone, with a real person on the other end.