Location · AI Software Development Company
AI Software Development Company in New York
New York is the engineering and product hub for fintech, media-tech, and B2B SaaS on the US east coast. Buyers tend to be founders, CTOs, and engineering directors at funded startups (Series A–C), agencies serving Fortune 500 clients, and product organisations at mid-market enterprises. Hashorn works as your AI software development company for teams in New York and across the United States. AI-driven software development where engineers own architecture and AI handles scaffolding, review, and test generation.
UTC-5 puts New York 9.5 hours behind India, 5 hours behind the UK, and 8 hours behind the UAE — daily overlap with India is in the New York morning / India evening window.
Local context
What the market looks like
Why our delivery model is shaped for buyers in this market.
Heavy fintech and media-tech concentration; sophisticated buyers familiar with senior offshore engagement models.
Strong agency ecosystem that often supplements with offshore engineering and QA capacity.
Premium on senior engineering quality and weekly demo cadence; sceptical of generic offshore narratives.
Who we work with
Typical buyers
Series A–C fintech and B2B SaaS founders and CTOs.
Agencies in NYC serving Fortune 500 clients who need extra engineering or QA capacity.
Mid-market product organisations building or modernising customer-facing software.
What you get
As your AI software development company
AI-driven software development where engineers own architecture and AI handles scaffolding, review, and test generation.
AI-augmented senior engineering, end to end
Evaluation harness for every AI feature
Prompt-injection defences and rate limiting
Telemetry for prompt, response, and cost
Human-in-the-loop fallback paths
Documented model and provider switching strategy
How we deliver
Our process
Senior engineers run the work. AI handles the scaffolding. Weekly demos keep things honest.
01
Frame
Define the AI feature, the eval set, the guardrails, and the human-in-the-loop fallback before building.
02
Prototype
Stand up the model + retrieval + tool-use loop end-to-end against your real data.
03
Harden
Add evaluation harness, prompt-injection defences, observability, and graceful failure paths.
04
Ship
Release behind a flag, watch the telemetry, expand the audience, iterate on the eval set.
Stack
Tools and technologies
FAQ
Questions clients ask before we start.
Building in New York? Let's talk.
Tell us what you're building, we'll tell you how we'd ship it.