AI agents & automation
Goal-driven agents that plan, call tools and complete multi-step work, with guardrails and a human fallback.
AI Development · United States
AI Development Company in New York
We are a senior-led ai development company serving the New York metro area. From autonomous agents and LLM apps to RAG and machine learning, we build production AI for New York teams — scoped and written by senior engineers, owned entirely by you.
Serving the New York metro area
Eastern Time (ET)
New York is the most diverse technology market in the US — fintech and financial services, enterprise SaaS, media and adtech, and a fast-growing healthtech scene, layered on top of the largest concentration of non-tech corporate IT budgets in the country. AI projects here live next to regulated data and established procurement, so the bar is production reliability, auditability and security — not a flashy proof of concept that never ships.
Who we work with in New York
- (01)fintech and financial-services firms that need auditable, compliant AI
- (02)enterprise and corporate teams modernizing operations with automation
- (03)media, adtech and healthtech companies shipping AI-driven products
What we build
6 areas
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.
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.
Why New York teams choose Suthar
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.
- Senior-led, no hand-off. The engineers who scope your New York project write the code — no account managers, no junior team.
- Real time-zone overlap. We hold overlapping hours with Eastern Time (ET) and run standups and demos on your calendar.
- Enterprise-grade by default. Evaluation suites, cost-per-task, audit logging and a human handoff path on every system.
- You own everything. Your repositories, your infrastructure, full code and IP transfer in USD terms you control.
Questions
New York
FAQ
Yes. For fintech and financial-services clients we build with approval gates, full audit logging and a human deliberately kept in the loop wherever money or regulated data moves — the controls procurement and risk teams ask for before anything reaches production.
Yes. We hold overlapping hours across the US Eastern business day and run standups and demos on your calendar. You get live daily overlap for decisions, with build progressing outside your hours.
We are used to multi-stakeholder buying. We provide architecture written in plain language, security and data-handling documentation, and clear IP ownership terms so your engineering, security and finance reviewers each get what they need.
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.
You do, completely. Your repositories, your infrastructure, full IP transfer documented at handover — including anything produced during discovery.
Explore
All locations →
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The full AI Development practice
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