AI agents & automation
Goal-driven agents that plan, call tools and complete multi-step work, with guardrails and a human fallback.
AI development · Seattle
AI Development for Seattle Companies
Senior-led AI development — agents, LLM/RAG systems and machine learning wired into production — for companies across the Greater Seattle area.
Our approach
Production AI, not demos
Suthar Technologies is a senior-led AI development company: we design, build and ship production AI — autonomous agents, retrieval-augmented (RAG) systems, LLM applications and machine-learning features — for enterprises and funded companies. Every engagement is run by senior engineers who scope the work and write the code. No account managers, no junior hand-off, and full code and IP ownership transfers to you at handover.
We build AI that does work, not AI that demos well. Every system ships with an evaluation suite, a measured cost-per-task, full logging of every decision, and a defined human handoff for low-confidence cases — and can run inside your own cloud when data cannot leave your perimeter. We partner with a limited number of companies at a time and design to a real business outcome, not a feature list.
What we build
AI systems for Seattle teams
Generative AI & LLM apps
Copilots, assistants and custom LLM applications built on Claude, GPT and open models, benchmarked per task.
RAG & knowledge systems
Your documents, tickets and databases turned into an answer engine your team actually trusts.
Machine learning
Prediction, scoring, classification and computer-vision models integrated into the systems you already run.
Evaluation & guardrails
Test suites, confidence thresholds, cost dashboards and logging from the first sprint — not bolted on later.
Secure deployment
Shipped into your own cloud account with monitoring you own, for teams with data-residency or compliance needs.
Time zones
Working with Seattle from Mumbai
When it is 9:00 AM in Seattle 10:30 PM IST IST is 13.5 h ahead (Pacific Time (PT), standard time)
Live overlap for calls About 1.5 hours a day 8:00 AM – 9:30 AM your time
How we work together Calls happen in your morning (our evening). The rest of the day we build, so you start each morning with progress and a short written update.
Times shift by an hour while daylight saving is in effect. We take scheduled calls between 9:00 AM and 11:00 PM IST.
By industry
AI use cases by industry
- AI for Healthcare
- AI for Financial Services
- AI for Insurance
- AI for Logistics & Supply Chain
- AI for Retail & E-commerce
- AI for Manufacturing
- AI for Real Estate
- AI for Legal
Data protection. The US has no single federal privacy law, so we build with the rules that apply to your data in mind — HIPAA for health information, GLBA for financial data, and state laws such as California's CCPA/CPRA — and sign data-processing agreements.
Start faster
AI & automation templates
Demo in production
AI assistants
WhatsApp AI Receptionist
Answers enquiries 24×7, books appointments and sends reminders on WhatsApp.
Demo in production
AI assistants
Website AI Chatbot
A chatbot trained on your website, PDFs and FAQs that captures leads.
Demo in production
AI assistants
Invoice & Document AI Agent
Reads invoices, bills and forms from email or WhatsApp and fills your sheets or ERP.
FAQ
AI development in Seattle — questions
Can you build on AWS or Azure the way our team already does?
Yes. We work in whichever cloud you run — AWS, Azure or GCP — inside your own account, using infrastructure as code so your team can review and reproduce every resource. When the project ends there is nothing hosted on our side to migrate away from.
Seattle is on Pacific Time — how do projects keep moving?
We lean into the gap. Feedback you leave at the end of your day becomes overnight progress on our side, and live calls sit early in your morning (around 7–8am Pacific), which is our evening in Mumbai. Every sprint still ends with a live demo on your calendar.
Do you account for Washington's health-data privacy law?
Yes. Washington's My Health My Data Act covers consumer health data well beyond traditional HIPAA settings — wellness apps and some location data can fall under it — so for products that touch that kind of information we build explicit consent, access and deletion flows from the start. We sign NDAs and data-processing agreements, and your counsel makes the final call on scope.
How do engagements start?
Almost always with a paid discovery sprint — one to two weeks that ends with a fixed scope, timeline and price. If we conclude the project should not happen, we will say so and you keep the work.
Who owns the code and models?
You do, completely. Your repositories, your infrastructure, full IP transfer documented at handover — including anything produced during discovery.
Ship production AI for your Seattle team.
Free 20-minute call. Fixed quote within a day or two for most projects. No obligation.