AI Development for US Businesses

AI Development for US Businesses

We build production AI for the United States businesses — custom machine learning, computer vision, LLM integration and AI strategy — scoped clearly, delivered by senior engineers, and designed to fit your data and compliance requirements.

What this covers

Use-case definition

Work out which problem is worth solving, what success looks like, and whether AI is genuinely the right tool.

Data readiness

Clean, structure and connect the data your system needs — usually the largest part of a real AI project.

Model & application build

The model, pipeline and user-facing application built as one system, not a notebook bolted onto a website.

Integration & deployment

Connect to your CRM, ERP or data warehouse and deploy to cloud or on-premises with monitoring.

How we deliver

1

Discovery

A call to understand the goal, data and constraints — and to say so if AI is not the right answer.

2

Data readiness

Assess and prepare the data your system needs before any model work begins.

3

Build

Model, pipeline and application, delivered in short iterations with demos you can see.

4

Evaluate

Test against real cases, add guardrails and confidence thresholds, and plan human review.

5

Deploy

Cloud or on-premises deployment, documentation and handover.

Where it delivers value

Document-heavy back office

Extract and validate data from invoices, KYC, contracts and forms.

FinanceLegal

Knowledge assistants

RAG assistants that answer from your own documents with citations.

Enterprise

Computer vision

Image classification, defect detection and document vision at scale.

Manufacturing

Agents & automation

AI agents and workflow automation with humans in the loop.

Operations

Built for the United States requirements

We deliver for US startups and mid-market companies that want production AI and software without enterprise-consultancy overhead.

Hours: US Eastern and Pacific hours overlap our working morning.

Compliance: CCPA-aware handling, SOC 2-aligned engineering practices, and HIPAA-aware design for health data.

Billing: quoted and invoiced in USD with a clear written scope.

Delivery: remote-first from our Delhi engineering base — we are open about not having a local office.

What you get

Senior engineers you deal with directly, not an account layer.

Phased delivery with written estimates and go/no-go points.

Honest advice — we tell you when a cheaper or simpler approach will work.

Delivered for the United States clients with cCPA-aware handling, SOC 2-aligned engineering practices, and HIPAA-aware design for health data, and uS Eastern and Pacific hours overlap our working morning.

Frequently asked questions

How long does an AI project take?
A focused pilot against one problem and one data source can be delivered in a few weeks. Production systems integrating several sources and sensitive data take longer — typically a few months, staged so you see working software early.
Do we need a lot of data to start?
Not always. Retrieval-based approaches and pre-trained computer-vision models work with modest data; truly custom predictive models need more history. Scoping includes an honest read on what your data supports.
Can you work with our existing team?
Yes. We can own delivery end-to-end, or embed alongside your engineers and hand over as we go.
How do you keep costs predictable?
By scoping in phases with a written estimate, separating discovery, build and support, and showing the impact before any change in requirements.

Have a project for the United States?

Tell us the goal and constraints. We will tell you honestly whether we can help, and what it takes.

Book a US Consultation
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