LLM development · New York
LLM development company in New York
Ship faster with senior engineers at offshore rates, overlapping your morning with a daily live stand-up.
Clarigo Infotech is an LLM development company that builds custom applications on large language models such as OpenAI GPT, Anthropic Claude, Google Gemini and open-source models like Llama. We design the prompts, retrieval, tools and guardrails, connect the model to your data and systems, and run it in production with monitoring, evaluation and cost control.
US companies most often hire us for AI agents, HIPAA-ready healthcare software and SaaS MVPs for funded startups.
10+
Years of delivery
600+
Projects delivered
20+
Countries served
25-30
Days to a live MVP
Get a free consultation
Tell us what you need. A senior engineer replies within one working day.
Speed, ROI and a team that scales with you
North American teams care about getting to market fast and proving return on investment. We focus on a production launch in weeks and measurable results after it.
Production in 25 to 30 days
A real, launchable first version in about a month, so you can sell, raise or learn sooner.
Senior talent, lower burn
Senior engineers at typical rates of $25 to $49 per hour, without recruiting costs or long notice periods.
Built to scale
Cloud architecture, automated tests and CI/CD from day one, ready for your next growth stage.
Security and compliance ready
HIPAA-trained team, HL7/FHIR experience, and security practices that fit SOC 2-style questionnaires.
What we build with LLMs
Custom LLM applications
Assistants, copilots and internal tools built around your workflows, not a generic chat window.
LLM integration
Add GPT, Claude or Gemini to your existing product through secure, well-tested APIs.
Open-source and private models
Deploy Llama and other open models on your own cloud when data must stay in-house.
Fine-tuning and evaluation
Tune models on your examples and measure accuracy with test sets before and after launch.
Guardrails and safety
Input and output filtering, PII masking, grounding checks and human review where needed.
Cost and latency optimisation
Model routing, caching and prompt design that keep responses fast and bills predictable.
How we approach LLM development
Choosing the right model
There is no single best model. We compare OpenAI, Claude, Gemini and open-source options on your real tasks for accuracy, speed, cost and data handling, and design the app so the model can be swapped later without a rewrite.
Grounded in your data
Most business value comes from connecting the model to your documents, databases and tools. We use retrieval (RAG), function calling and agents so answers come from your information and actions happen in your systems.
Built for production, not demos
We add evaluation test sets, logging, monitoring, rate limits, fallbacks and cost alerts from day one, so the app keeps working well after launch and you can see exactly what it is doing.
Security and compliance
Data minimisation, encryption, access control and providers configured not to train on your data. For healthcare we build to HIPAA requirements with BAAs in place for any service that touches PHI.
How we work with New York clients
Time-zone overlap
Our team overlaps with New York mornings and runs flexible evening shifts for a live daily stand-up, so you get same-day answers and progress waiting each morning.
HIPAA and US state privacy laws
For healthcare we build to HIPAA requirements: role-based access, encryption, audit logs and HIPAA-eligible cloud hosting, with BAAs in place for vendors that touch PHI. For other products we follow US privacy laws such as CCPA, and we sign NDAs before any work starts.
Billing
Invoices in US dollars (USD). Typical senior rates are $25 to $49 (USD) per hour, or a fixed price for a defined scope.
Where we help New York businesses most
New York companies move fast and expect polished products. We work with founders and teams in finance, media, healthcare and commerce who need senior engineers without New York hiring costs, and who want a partner that can design, build and support the product in one team.
SaaS and enterprise software
Fierce competition rewards fast product iteration and AI features. We start with one costly process and automate it end to end.
Healthcare
Providers need HIPAA-aware portals, scheduling and claims automation. We build AI agents, assistants and automation around these workflows.
Financial services
Banks and fintechs modernise onboarding, fraud checks and payments. AI here usually means faster reporting, fewer manual steps and better customer replies.
Retail and e-commerce
Direct-to-consumer brands live on conversion-focused stores and paid ads. We start with one costly process and automate it end to end.
Meetings in your time zone
Our team's hours, in New York time
23:30–09:00
Monday to Friday
Overlap with your working day
Flexible shift
Evening shift for a live stand-up, progress overnight
Daily stand-up
09:30
New York time, plus written updates every evening
Local platforms and setup
Messaging channels
Languages
Local payments
Data hosting
AWS US East (N. Virginia), Google Cloud us-east4 and Azure East US, in your own cloud account, so data stays where your rules require.
How it works
Week 1: discovery and design
We agree the use case, success measures and data, and show you a clickable design.
Weeks 2-3: build and integrate
We build, connect it to your systems and data, and demo working software every week.
Week 4: test and launch
We test with real cases, add monitoring and guardrails, then go live.
After launch: improve and scale
The same engineers keep tuning quality, cost and features as usage grows.
See what we've built
Try it yourself, free
Free browser tools from our team. No sign-up needed.
LLM development company: questions from New York
Do you work with companies in New York?+
Yes. Clarigo Infotech works with companies across New York, including Manhattan, Brooklyn, Jersey City, as part of clients in 20+ countries. US companies most often hire us for AI agents, HIPAA-ready healthcare software and SaaS MVPs for funded startups. We work remotely from India with one in-house team.
What time-zone overlap do we get from New York?+
Our team overlaps with New York mornings and runs flexible evening shifts for a live daily stand-up, so you get same-day answers and progress waiting each morning.
How do you handle HIPAA and US state privacy laws?+
For healthcare we build to HIPAA requirements: role-based access, encryption, audit logs and HIPAA-eligible cloud hosting, with BAAs in place for vendors that touch PHI. For other products we follow US privacy laws such as CCPA, and we sign NDAs before any work starts.
Which currency do you bill in, and what does it cost?+
We bill in US dollars (USD). Senior engineers typically cost $25 to $49 (USD) per hour, and fixed-scope projects such as an MVP in 25 to 30 days are quoted after a free consultation.
Can you build in English and Spanish?+
Yes. We build interfaces and content in English and Spanish, and test them with native speakers before launch.
Where will our data be hosted?+
Usually in AWS US East (N. Virginia), Google Cloud us-east4 and Azure East US, or wherever your data rules require. Everything runs in your own cloud account, so you stay in control.
Do you support SMS?+
Yes. Customers in New York often prefer SMS and iMessage and WhatsApp, so we connect chatbots, notifications and support flows to them.
Which LLM should we use: GPT, Claude, Gemini or open source?+
It depends on your task, data rules and budget. We test the options on your real examples and recommend the best fit, and we build so you can switch models later.
Can you keep our data private?+
Yes. We use providers configured not to retain or train on your data, mask sensitive fields, and can deploy open-source models on your own cloud when data must not leave your environment.
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