End-to-End Custom AI & LLM Development Services
Starting at
$
35
/hrAbout this service
Summary
FAQs
What information do you need to get started?
We typically request a clear description of the problem, sample data (if available), preferred tech stack, and any existing systems the AI solution must integrate with.
What if I’m not sure what AI solution I need?
No problem, we offer discovery sessions to analyze your use case and recommend the best AI strategy, tools, and architecture based on your goals.
What types of AI solutions do you build?
We build chatbots, RAG systems, automation agents, classification models, analytics tools, and complete AI-powered applications using LangChain and LLM technologies.
Can you work with sensitive or proprietary data?
Yes. We follow strict data-security protocols, use secure processing environments, and are happy to work under an NDA when needed.
Can you integrate your AI solutions into our existing systems?
Absolutely. We integrate seamlessly with your backend, APIs, dashboards, CRMs, or any custom workflows.
How will communication and updates work?
We provide regular check-ins, progress reports, demos, and open communication through Contra, email, or your preferred channel.
What's included
Custom AI/LLM Model Development
A fully developed and fine-tuned AI/LLM model tailored to your business needs, such as chatbots, automation agents, summarization systems, or domain-specific reasoning models, using PyTorch, LangChain, and OpenAI.
End-to-End AI Application
A complete AI-powered web or backend application integrating model inference, APIs, workflows, vector search, or automated pipelines. Delivered with clean, scalable full-stack code.
LangChain Pipeline / Agent Framework
A structured and production-ready LangChain pipeline or multi-agent system designed for retrieval-augmented generation (RAG), document workflows, or autonomous task execution.
Data Processing & Embedding Setup
A fully implemented data ingestion, cleaning, embedding, and vector storage pipeline optimized for accuracy, speed, and reliable retrieval.
API Integration Layer
REST or GraphQL endpoints enabling seamless access to the AI model from your existing systems, including authentication, rate limiting, and error handling.
Deployment & Infrastructure Setup
Deployment of the complete AI solution to your preferred environment (AWS, Azure, GCP, Vercel, or on-prem). Includes CI/CD, monitoring, logging, and performance optimization.
Documentation & Technical Guide
A complete technical documentation package covering architecture, code structure, setup instructions, and instructions for future improvements.
Skills and tools
ML Engineer
AI Developer
Fullstack Engineer
LangChain
OpenAI
PyTorch
Industries