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AI-Powered Development

AI that works on your data — not just demo prompts

Integrate ChatGPT, Claude, and Gemini into your product. Build RAG over private knowledge. Fine-tune models. Ship agents that do real work — with production monitoring, not a prototype left on a laptop.

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What We Build

From a ChatGPT feature in your app to a full RAG knowledge system — scoped, evaluated, and shipped to production.

OpenAI & ChatGPT Integration

Put ChatGPT inside your product — assistants, tools, and streaming answers your users can actually use.

  • GPT-4o and GPT-4 Turbo integration
  • OpenAI Assistants API setup
  • Function calling and tool use
  • Streaming response interfaces

RAG System Development

AI that answers from your documents — not the open internet — with RAG pipelines you can trust.

  • Vector database setup (Pinecone, Qdrant, pgvector)
  • Document ingestion and chunking pipelines
  • Semantic search and embedding generation
  • Context-aware Q&A over private data

Model Fine-Tuning

Fine-tune models on your data so the AI sounds like your business and gets the details right.

  • OpenAI fine-tuning (GPT-3.5, GPT-4o mini)
  • Hugging Face model training
  • Domain-specific dataset preparation
  • Evaluation, benchmarking, and iteration

AI Agents & Automation

Agents that plan and complete multi-step work across your tools — with a human in the loop when it matters.

  • LangChain and LangGraph agent pipelines
  • Tool-use and API orchestration agents
  • Scheduled and event-driven AI workflows
  • Human-in-the-loop escalation patterns

Multi-LLM Integration

Use OpenAI, Claude, and Gemini without lock-in — route, fall back, and control cost from one architecture.

  • Provider-agnostic LLM routing
  • Claude (Anthropic) integration
  • Google Gemini and Vertex AI setup
  • Fallback, cost, and latency optimization

Custom AI Solutions

Custom AI systems shaped around your data, compliance, and workflows — from strategy to production.

  • AI strategy and discovery workshops
  • Data pipeline and ETL design
  • Compliance-aware AI system design
  • Production deployment and monitoring

Technologies We Work With

We stay at the frontier — and we only ship models, frameworks, and vector stores that hold up in production.

OpenAI GPT-4oClaude (Anthropic)Google GeminiLangChainLangGraphPineconeQdrantpgvectorHugging FacePython / FastAPIOpenAI AssistantsRAG Pipelines

Real-World Use Cases

Real problems, real systems — not a slide deck of AI buzzwords.

SaaS / E-Commerce

Intelligent Customer Support

Deploy an AI assistant trained on your documentation to handle tier-1 queries 24/7, reducing support costs.

Legal / Finance

Document Intelligence

Extract structured insights from contracts, invoices, and reports using RAG over your document corpus.

Enterprise / HR

Internal Knowledge Base

Give your team instant AI-powered access to company wikis, SOPs, and historical decisions.

Engineering Teams

AI-Powered Code Assistant

Build a code review or generation tool fine-tuned on your internal codebase standards and patterns.

Retail / Marketplace

Product Recommendation Engine

Serve personalized product suggestions using LLM embeddings trained on your catalog and user behavior.

Media / Marketing

Content Generation Workflows

Automate SEO content, marketing copy, and localized descriptions at scale with brand-aligned fine-tuned models.

Ready to put AI to work in your product?

ChatGPT integration, RAG over your documents, or a fine-tuned model — we'll scope it on a free call.

No commitment required. Typically respond within 2 hours.

Book a Free Discovery Call
FAQ

AI development questions

Integrations, RAG, timelines, and how we start.

What AI development services does CodeCart provide?

We integrate ChatGPT and other LLMs into your product, build RAG systems over private data, fine-tune models, design AI agents, and set up provider-agnostic routing across OpenAI, Claude, and Gemini.

Can AI answers stay grounded in our company data?

That is what RAG is for. We ingest your docs into a vector store and retrieve the right context before the model answers, so responses stay accurate, private, and on-brand.

How quickly can we add ChatGPT to our product?

A focused Assistants API or GPT-4o integration can go live in days when the use case is clear. Custom agents, RAG, and fine-tuning take longer because they need data pipelines and evaluation.

Is a discovery call required before AI work starts?

Yes — and it is free. We scope the use case, data, compliance needs, and model choice so you know cost and timeline before engineering begins.

Ready to Build?

Ready to Ship Your Next Product?

Whether it's a mobile app, web platform, or AI-powered system — we'll scope it, build it, and launch it. Most projects start delivering in under 30 days.

No commitment required. Free discovery call.

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