New York · United States
Data & AI in New York
From RAG systems over proprietary research to forecasting on transaction data, we build production AI for New York companies at offshore economics — senior ML engineering without the Manhattan rate card.
Why New York
Data & AI, grounded in how New York actually works
New York concentrates US finance, media, real estate and a B2B software scene where SOC 2 reports and security reviews gate every enterprise deal. Engineering costs in the city push even well-funded companies toward distributed teams. Dhaka runs ten to eleven hours ahead of Eastern Time — a true follow-the-sun setup where work assigned in your evening is finished by your next morning.
Intrivik builds production machine-learning systems, LLM applications and the data pipelines underneath them — deployed and monitored, not left in notebooks.
How we work with New York businesses
Overnight follow-the-sun delivery: assign in your evening, review in your morning. Live handoff windows in ET mornings (our evening). USD invoicing; NDAs standard.
Serving Manhattan, Brooklyn, Queens, Jersey City and the wider New York.
What New York clients get
- Production ML, not notebook demos — models deployed, monitored and retrained
- LLM and RAG systems built on your private data with privacy controls designed in
- Data engineering first: pipelines and warehouses that make every later model cheaper
- Honest scoping — we'll tell you when a simple heuristic beats a model
Want the full picture of this practice? Explore our Data & AI service
Frequently asked questions
Do we need huge data volumes to benefit from AI?
No. Most business value comes from modest, well-organized data — forecasting, document automation, customer scoring. We start with the data you have and tell you honestly when it isn't enough.
Should we build with LLMs or train our own models?
Depends on the task. Retrieval-augmented LLM systems cover most document and language work; custom models win on structured prediction. We prototype cheaply before you commit to either.
How do we collaborate across an 11-hour gap?
Deliberately: written-first communication, a live handoff window every ET morning (our evening), and recorded demos. Many clients find the overnight cycle faster than a same-timezone team — work never idles.
Do you sign NDAs and US contracts?
Yes — NDAs are standard before any discovery, invoicing is in USD, and we're used to US procurement and security-review processes.
Get a data & ai proposal — in your timezone
Book a free 30-minute consultation in New York working hours. We'll scope the work, propose an engagement model and give you honest numbers. Overnight follow-the-sun delivery: assign in your evening, review in your morning. Live handoff windows in ET mornings (our evening). USD invoicing; NDAs standard.
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