Full AI + App Development

AI Backend Development

Production-grade Python backends with OpenAI, Claude, and vector databases. Built for scale with FastAPI.

Start Your Backend View Projects

50+

AI Backends Built

10M+

API Requests/Day

99.9%

Uptime SLA

4-6

Weeks Delivery

Core Features

What's Included

Everything you need for a production-ready AI backend.

Python/FastAPI Backend

High-performance Python backends using FastAPI framework with async support and automatic API documentation.

Async/await support

Auto-generated OpenAPI docs

Type validation

Dependency injection

OpenAI/Claude Integration

Seamless integration with leading AI models including GPT-4, Claude, and other LLMs with optimized prompting.

GPT-4 & GPT-4o

Claude 3 Opus/Sonnet

Gemini Pro

Custom model support

Vector Database Setup

Implement semantic search and RAG systems with enterprise-grade vector databases.

Pinecone integration

Weaviate setup

Chroma DB

Qdrant configuration

API Documentation

Comprehensive API documentation with examples, authentication guides, and SDK generation.

OpenAPI 3.0 specs

Postman collections

SDK generation

Usage examples

Technology

Our Tech Stack

Python 3.11+

Latest Python with async capabilities

FastAPI

Modern, fast web framework

LangChain

LLM application framework

PostgreSQL

Reliable relational database

Redis

In-memory caching layer

Docker

Containerized deployment

Our Process

How We Build

Requirements Analysis

Define API endpoints, data models, and AI model requirements.

Architecture Design

Design scalable backend architecture with AI integration patterns.

Development & Testing

Build and test API endpoints with comprehensive test coverage.

Deployment & Docs

Deploy to production with full documentation and monitoring.

Benefits

Why Choose Our Backend

Lightning Fast

FastAPI delivers up to 10x faster performance than traditional frameworks

Enterprise Security

Built-in authentication, rate limiting, and data encryption

Rapid Development

4-6 week delivery with production-ready code

Cost Optimized

Efficient API calls and caching reduce AI costs by up to 60%

Case Study

Real Results

Legal Technology

LegalTech Pro

Challenge

Needed an AI backend to process legal documents, extract key clauses, and provide semantic search across thousands of contracts.

Solution

Built a FastAPI backend with GPT-4 for document analysis, Pinecone for semantic search, and PostgreSQL for metadata storage.

Results

Processing 500+ documents/hour

95% accuracy in clause extraction

Sub-second semantic search

60% reduction in review time

Deliverables

What You Receive

Production-ready Python/FastAPI codebase

OpenAI/Claude API integration

Vector database configuration

Complete API documentation

Docker deployment setup

Performance monitoring setup