AI Development Company for US Enterprises
Infonza builds production-grade AI applications for US startups and enterprises — GPT-4 integrations, RAG systems, custom LLMs, AI chatbots, and intelligent workflow automation. Offshore pricing. Senior engineering quality. US timezone delivery.
Why US Companies Choose Infonza for AI Development
Most offshore AI teams treat AI as a feature add-on. We treat it as a core engineering discipline — with production-grade architecture, cost controls, and hallucination mitigation built in from the start.
US Timezone Overlap
EST/PST daily overlap 9am–2pm. Daily standups, Slack-first communication, weekly demos. No timezone black holes.
Production-Ready Architecture
Every AI system we build includes rate limiting, retry logic, cost controls, and monitoring. Not just a proof of concept.
Domain Expertise
Deep experience in insurance, logistics, healthcare, and SaaS AI use cases — not generic chatbots.
NDA from Day One
We sign mutual NDAs before the first technical conversation. Your IP, your data, your models stay yours.
Senior AI Engineers Only
Every AI project is staffed with engineers who have shipped production AI systems — not junior developers learning on your project.
Fixed Scope or T&M
We offer both fixed-price engagements for defined scope and time-and-materials for exploratory projects. No surprise invoices.
AI Development Services for US Businesses
End-to-end AI engineering — from architecture and model selection to production deployment and ongoing optimisation.
GPT-4 & OpenAI Integration
Production-ready OpenAI API integrations with rate limiting, caching, fallback handling, and cost controls. Built to run at scale, not just in demos.
Learn more →RAG System Development
Retrieval-Augmented Generation systems that ground your AI responses in your proprietary data — documents, databases, APIs. Accurate, hallucination-resistant, and auditable.
Learn more →LLM Fine-Tuning
Custom LLM fine-tuning on your domain data — insurance policies, legal documents, technical manuals. Models that speak your industry's language with precision.
Learn more →AI Chatbot Development
Multi-channel AI chatbots with human handoff, conversation memory, and 70%+ ticket deflection. Deployed to your website, Slack, MS Teams, or custom interfaces.
Learn more →Generative AI Applications
Custom GenAI applications — content generation, document drafting, image synthesis, and code assistants. 10× throughput at 60% lower cost than manual processes.
Learn more →AI Workflow Automation
Intelligent process automation — document classification, data extraction, email triage, and approval workflows. 80% time reduction on repetitive back-office processes.
Learn more →Industries We Serve
We apply domain-specific AI solutions — not generic models — to industries where accuracy and compliance are non-negotiable.
AI Technology Stack
We work with the entire modern AI engineering stack — models, frameworks, infrastructure, and monitoring.
LLM Models
- GPT-4 / GPT-4o
- Claude 3.5 Sonnet
- Llama 3.1
- Mistral
- Gemini Pro
Frameworks
- LangChain
- LlamaIndex
- Haystack
- LangGraph
- CrewAI
Vector Databases
- Pinecone
- Weaviate
- Chroma
- pgvector
- Qdrant
Infrastructure
- AWS Bedrock
- Azure OpenAI
- GCP Vertex AI
- Hugging Face
- Replicate
Insurance onboarding reduced from 3 hours to 45 minutes
A US insurance agency was managing client onboarding across spreadsheets, carrier portals, and email. We built a custom AI-powered CRM with carrier API integration that automated quote generation, document processing, and client communication — cutting onboarding time by 75%.
Read the full case study →Frequently Asked Questions
How long does an AI development project take?
Timelines depend on complexity. A production AI chatbot with RAG integration typically takes 6–10 weeks. A full LLM fine-tuning project takes 12–16 weeks. We deliver working MVPs within the first sprint so you can validate early.
Do you work with US companies from India?
Yes. Our AI engineers work in US-compatible timezones (EST/PST overlap 9am–2pm). We sign NDAs before any project begins, use US communication tools, and deliver within agreed sprint cadences.
What AI technologies do you specialise in?
GPT-4 and OpenAI API, LangChain and LlamaIndex for RAG, Hugging Face and custom LLM fine-tuning, vector databases (Pinecone, Weaviate, Chroma), and AI workflow automation.
Can you integrate AI into an existing product?
Yes — this is one of our most common engagements. We audit your existing codebase, identify integration points, and build AI features that plug into your current architecture.
How much does AI development cost?
A standalone AI chatbot integration starts at $15,000–$30,000. A full RAG system starts at $40,000–$70,000. LLM fine-tuning is priced based on dataset size. Book a free call for an accurate estimate.
What industries do you build AI for?
Insurance, logistics, healthcare, financial services, SaaS, legal, e-commerce, and construction. We have domain-specific training data and workflow knowledge in each.
Explore Related Services
Ready to Start Your Project?
Schedule a free 30-minute strategy session with our senior engineers. No sales pitch — just honest technical advice on your specific challenge.