United States

Offshore AI Development & Automation for US Businesses

US teams want AI in their product and operations yesterday — but senior AI engineers are scarce and expensive. As an offshore AI development partner, we give you that capability for a fraction of onshore cost: AI agents, chatbots, RAG assistants and LLM integrations, built by engineers who ship with AI agents every day. Fluent English, US-hours overlap, code in your own repo, and production-grade systems — not another demo that falls over in front of customers.

Local Advantage

Why United States Businesses Choose Us

We work across US time zones with overlapping hours, communicate in fluent English, use the tools US teams use (GitHub, Jira, Linear, Slack, Figma), and deliver to US standards on code quality, testing, and documentation.

Senior AI engineering at roughly 30–40% of onshore US cost, with comparable quality

Modern AI stack — OpenAI, Anthropic, open models, LangChain/LlamaIndex, vector databases (Pinecone, pgvector)

RAG assistants and AI agents grounded in your data, with evaluation and guardrails built in

4–6 hours of daily US-hours overlap for live standups, demos and steering

Full IP ownership, code in your repo from day one, US-style contracts and NDAs

Capabilities

What We Deliver

The full scope of our service, available to every client in this market.

AI agents that complete real workflows — research, data entry, outreach, support triage and multi-step tasks — with human oversight

Custom AI chatbots and WhatsApp automation (official WhatsApp Business API) that reply, qualify leads, book appointments and follow up 24/7

LLM / GPT integration into your existing apps — Claude, OpenAI, Gemini and open models wired into your product and workflows

RAG knowledge assistants that answer from your own documents, policies and data — accurate, sourced and always up to date

Business process automation with n8n, Make and Zapier, or fully custom pipelines for higher-volume, mission-critical flows

AI-powered SaaS development — build a product with AI at its core, from MVP to multi-tenant scale

Document and data extraction — invoices, contracts, forms and PDFs turned into structured, usable data

Voice AI and phone agents for bookings, reminders and first-line support

Guardrails, evaluation and monitoring so AI behaves safely and predictably in production, not just in a demo

How We Work

Our Process

A proven methodology that ensures quality delivery at every stage.

1

Find the High-ROI Use Case

We look at where your team loses the most time or money, and pick the automation or AI feature that pays back fastest — no AI for the sake of AI.

2

Prototype in Days

Because we build with AI agents ourselves, we ship a working prototype fast so you can see and feel the result before committing to the full build.

3

Engineer for Production

We add guardrails, human hand-off, evaluation and monitoring so the system is reliable and safe under real-world conditions, not just in a demo.

4

Integrate & Train

We plug the AI into your existing tools, data and workflows, then train your team to run and trust it day to day.

5

Measure & Improve

We track the numbers that matter — time saved, leads handled, cost cut — and keep tuning the system as your needs grow.

FAQs

Frequently Asked Questions — United States

Why hire an offshore AI development company?+

Because demand for AI engineers has far outrun supply, onshore US rates are steep and hiring is slow. An offshore team gives you the same senior capability at roughly a third of the cost and can start in days. With fluent English, US-hours overlap and production discipline, the old downsides of offshore — communication and quality — simply don't apply, so it works like an extension of your team.

What kinds of AI systems do you build?+

AI agents that automate multi-step workflows, RAG assistants that answer accurately from your own documents and data, customer-facing chatbots, and LLM features embedded directly into your product. We work across OpenAI, Anthropic and open models, with the vector databases, orchestration and evaluation tooling needed to make them reliable rather than flaky.

How do you stop the AI from hallucinating in production?+

We ground it in your real data with retrieval (RAG) so answers come from sources, not guesses, constrain what it's allowed to do with guardrails and validation, and add human review for low-confidence cases. Crucially, we build evaluation and monitoring in from the start, so you can measure accuracy and catch regressions — the difference between a demo and a dependable system.

Can you ship an AI MVP or proof-of-concept quickly?+

Yes — and fast, because we develop with AI agents ourselves. A focused proof-of-concept (one workflow, real data, a working interface) typically ships in 2–4 weeks, so you can validate value and show stakeholders something real before committing to a larger build.

Who owns the code, models and IP?+

You do — completely. Code lives in your own repository from day one, IP is assigned to you on delivery, and everything runs in your accounts (your OpenAI/Anthropic keys, your cloud). No lock-in, no dependency on us to keep it running, and US-style NDA and IP-assignment terms as standard.

AI Development & Automation in Other Markets

We deliver this service across the following regions.

Ready to discuss your project in United States?

Tell us what you're building. We'll respond within one business day with scoping questions, timeline and a preliminary estimate.