AI Integration Services in Seattle, WA
Seattle is anchored by Amazon and Microsoft, with a deep SaaS and dev-tools ecosystem and a steady current of bootstrapped founders. Most companies here speak fluent cloud — what they want from an AI partner is Docker-native, cloud-portable, API-first AI integration that does not lock them into a specific LLM vendor.
The problem with off-the-shelf AI in Seattle
Generic AI shops bring vendor SDKs that lock you into a specific model provider and a specific cloud. Seattle technical buyers want LLM-vendor-agnostic integration — clean module boundaries, documented endpoints, no lock-in.
Real AI integration means picking the right model for the right step, wiring it into your existing data layer, and building eval-first so prompt regressions get caught before they reach production. For Seattle buyers specifically, that means AI shaped for dev-tools and cloud-native AI integration — not a generic chatbot.
What we ship for Seattle buyers
LLM-vendor-agnostic integration
OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, and open-source via Ollama or vLLM — all addressable through a thin abstraction layer.
Docker-native AI deployment
Container-first AI integration that drops into AWS, GCP, Azure, or your own Kubernetes.
API-first AI surface
Every AI workflow is a documented REST or GraphQL endpoint. Your dev tools and SaaS product call it like a peer service.
IAM-grade access for AI
OIDC, SAML, fine-grained RBAC on AI endpoints.
Tech stack
LLM-vendor-agnostic abstraction so you can switch providers without a rewrite. Postgres + pgvector for RAG.
Reference builds
Seattle-relevant AI reference work includes operations platforms (J5 Sales OS, UEhub) and developer-tool patterns we ship — Docker-native deploys, OpenAPI-documented endpoints, vendor-agnostic LLM abstractions. The architecture meets what a Seattle-grade engineering reviewer expects.
Reference work: J5 Sales OS, contractor estimating engine, and multi-strategy trading system.
How we work remote from Georgia
QUANT LAB USA is founder-led from Macon, Georgia. William Beltz runs every AI engagement from kickoff through handoff. Discovery is a structured workflow-mapping session; eval-first prompt development from week one; staging is live from week two.
For Seattle buyers, that means full Eastern-time overlap, fixed-scope contracting against milestones, and on-site work when scope warrants. Book a scope call to walk through your workflow.
Pricing for Seattle AI integration
Seattle AI engagements typically scope between $25,000 and $110,000 for a production-grade integration. Senior-engineering bake-off included.
We quote fixed-fee scope after a 30-minute discovery call. Engagements include the integration code, eval test sets, prompt versioning, and runtime cost-and-latency budgets. Source-code handoff at delivery. See our parent AI service page for the broader engagement model.
What you get
- Full source code repository (yours, no lock-in)
- Prompt library + eval test sets
- LLM-vendor-agnostic abstraction layer
- Cost + latency budgets at integration layer
- Audit logging on AI workflow events
- 30-day post-launch support included
Seattle AI integration FAQ
AWS Bedrock or Azure OpenAI?
Yes, both supported.
AI as a peer service?
Yes — every workflow is a documented endpoint.
Pacific time overlap?
Morning through early afternoon Pacific from a Georgia HQ.
Bake-off against in-house engineers?
Yes.
SAML/OIDC on AI endpoints?
Yes.
Who owns the prompts and code?
You do.
Related services
SaaS Platform Development
Full-stack SaaS with AI features built in.
Custom CRM Development
AI-assisted lead routing and summarization on your CRM.
Mobile App Development
On-device and server-side AI inside your mobile app.
API Development
Documented endpoints for your AI workflows.
Web App Pentest
Prompt-injection-aware security testing on AI features.
Nearby cities we serve
Ship a real AI integration in Seattle.
Call William Beltz directly at (770) 652-1282 or book a 20-minute scope call. Founder-led from quote to handoff.