Seattle, WA · AI Tooling

AI Tooling & Integration in Seattle.

Nagro Solutions builds ai tooling & integration for Seattle, Washington businesses — from Capitol Hill, Ballard, Fremont to Queen Anne, South Lake Union, Belltown and the wider Seattle metro.

Seattle is our home. Nagro Solutions is headquartered at 1037 NE 65th St, and we work directly with Seattle-area clients on ai tooling projects — no offshore handoffs.

What we build

AI Tooling we ship for Seattle clients.

  • LLM-powered chat and Q&A features
  • Retrieval-Augmented Generation (RAG) systems
  • Document processing pipelines (PDF, contracts, invoices)
  • Semantic search over internal knowledge bases
  • AI-augmented internal ops tools
  • Auto-summarisation and content generation flows
  • Custom AI agents with tool use
  • AI safety, guardrails, and evaluation harnesses
Coverage

Areas we serve in Seattle.

SeattleBellevueRedmondKirklandTacomaEverettKing CountySnohomish CountyPierce County

Neighborhoods actively served: Capitol Hill, Ballard, Fremont, Queen Anne, South Lake Union, Belltown, Wallingford, West Seattle, Bellevue, Redmond, Kirkland, Tacoma, Everett.

Tech

Tech stack.

LLM Providers

OpenAI (GPT-4o, o1), Anthropic (Claude), Google (Gemini), Open source (Llama, Mistral) via Together, Groq, Ollama

RAG / Search

Pinecone, Weaviate, pgvector, Elasticsearch, Meilisearch, Typesense

Frameworks

LangChain, LlamaIndex, Vercel AI SDK, Custom orchestration

Ops

LangSmith (evaluation), Braintrust, Custom eval harnesses, Sentry (production monitoring)

FAQ

AI Tooling in Seattle — FAQ.

Do you work with Seattle businesses in person?
Yes. Nagro Solutions is Seattle-based, headquartered at 1037 NE 65th St. Local clients meet us in person when it helps.
How long does a ai tooling project take for a Seattle client?
Timelines vary by scope — we quote every project after a discovery call.
What does ai tooling cost for a Seattle business?
An AI tooling project in 2026 typically costs $5,000-$150,000+ depending on scope. A single AI feature MVP (RAG chatbot, document classifier, semantic search over your knowledge base, drafting assistant) runs $5,000-$25,000. A production-grade AI integration with proper eval framework, prompt versioning, fallback provider hedging, and observability runs $25,000-$80,000. Custom ML pipelines with fine-tuning, custom embeddings, or agentic workflows run $80,000-$200,000+. LLM API costs are separate and scale with usage — budget $200-$2,000/month for most SMB workloads. Our default LLM stack is Claude (Sonnet or Opus) with GPT fallback, prompt caching for 50-90% cost savings on repeat context. We build ONLY when the problem is a genuine AI fit — poor fits (exact-accuracy tasks, high-stakes decisions without human-in-the-loop) we'll tell you upfront.
Start

AI Tooling in Seattle — get a quote.

One 30-minute discovery call. Written scope within 3 business days.

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