AI development company for NYC fintech, legal-tech & media.

We do not operate a Manhattan office. Aiinfox runs from our Mohali, India HQ and a Frisco, TX office. For NYC clients that need US business-hours coverage, our Frisco pod runs Central Time — one hour behind ET, covering the same workday — and the same senior engineers run twice-weekly demos in NYC business hours. For on-site engagements (kickoff, milestone reviews, security walk-throughs), we travel to NYC offices on a scheduled cadence rather than maintaining a sub-scale local team.

Honest answer: yes, but the mechanism matters. Our Frisco, TX office runs Central Time, which is one hour behind NYC Eastern Time — your 9am is our 8am, your 5pm is our 4pm — so the NYC workday is fully inside the Frisco pod's day. Our Mohali team adds a native two-to-three-hour late-afternoon overlap with NYC late-afternoon. Twice-weekly demos run inside NYC business hours; written updates land before your standup; the senior engineer on your kickoff is the senior engineer through launch. If your engagement genuinely cannot survive without a Manhattan-based team on the ground at all times, we will tell you on the first call and recommend a local consultancy.

Yes. For NYDFS-supervised covered entities, every model and tool call is audit-logged with input, output, prompt version, and operator identity, so the senior officer accountable under 23 NYCRR 500.04 has the evidence they need for a Part 500 examination. We map data flows in writing for the cybersecurity program (500.02) and incident reporting (500.17) obligations. For NY SHIELD Act 'reasonable security' controls, we run a written information security program with role-scoped access, encryption in transit and at rest, and breach notification playbooks. We do not make autonomous regulatory decisions; humans approve everything that touches a regulated outcome.

Your call. We default to AWS US-East-1 (N. Virginia) for NYC clients because it is the lowest-latency region for Manhattan endpoints, but we will run inside your AWS, Azure, or GCP account in any US region you specify. For inference, Claude (Anthropic) and GPT-4o (Azure OpenAI) have US-region endpoints we route to explicitly; for clients with strict no-third-party-API policies — buy-side, certain capital-markets workflows, defense-adjacent — we self-host Llama 3 on vLLM inside your VPC with zero data egress to non-customer endpoints. Your DPA spells out the exact data path.

Yes. We work with MSA-plus-SOW structures for ongoing engagements and single-document fixed-price agreements for pilots. Standard terms cover IP assignment (your code, your IP), limitation of liability tuned for the scope, indemnification, data handling, breach notification, and a 30-day production warranty. NDAs are mutual and signed before any technical detail is shared. BAAs are signed before any PHI is shared. We are a registered Indian entity (Aiinfox Pvt. Ltd.) invoicing US clients in USD via wire transfer as a foreign corporation — no W-9 / 1099 entanglement on your side.

Yes — takeover audits are routine. Step one is reading the code, the data pipelines, the eval results (if any exist), the prompts, and the cost telemetry. Step two is shipping the smallest valuable change to prove we understand the system in a way the previous vendor did not. Step three is the longer-term plan — incremental stabilization, a parallel rewrite, or shutting it down. We will be honest on the first call about which is the right move. Most NYC takeovers we have seen did not need a full rewrite; they needed evals, guardrails, observability, and a senior engineer on the build.

Senior engineering rates at Aiinfox are roughly 40 to 60 percent lower than equivalent Manhattan, Midtown, or Flatiron AI consultancies — real but not the headline. The headline is the delivery model. Most Manhattan AI consultancies bill at $350-to-$600 per hour on timesheets, run multi-month discovery phases, and either burn a junior pool behind a senior nameplate or churn senior staff onto bigger accounts mid-engagement. We bill shipped systems on a fixed-price six-week scope; the senior engineer on your kickoff call stays on the build through launch; the overrun cost is on us if we miss for reasons on our side. NYC clients typically save 50 to 70 percent on equivalent scope while getting the senior engineer in every standup.

A working v1 in production six weeks after kickoff, with evals, guardrails, observability, and audit logs wired in from week one — not retrofitted after launch. For NYC fintech, success is typically a measurable lift on a regulated workflow (KYC throughput, fraud signal precision, compliance copilot deflection) at audit-defensible quality. For legal-tech, success is citation-grounded research at lawyer-acceptable accuracy with the right refusal behavior on out-of-scope queries. For healthcare, success is a BAA-covered RAG or ambient scribe with zero policy-violating answers in production. We measure against your acceptance criteria, written into scope before kickoff.