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Python Development

AI backend (FastAPI, LangChain), automation scripts and data pipelines — with Python.

Our Python development service focuses on AI backend services, LLM integrations and Python scripts that automate business processes. Rather than full web apps with Flask or Django, we deliver high-performance AI services with FastAPI and n8n/Python hybrid automation.

RAG systems with LangChain and LlamaIndex, Anthropic Claude / OpenAI GPT integrations, data processing pipelines and scheduled automation jobs are our primary areas.

If you want to add a Python AI layer to your existing Flutter, Next.js or Laravel application — discovery call is free.

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AI Backend Services with FastAPI

Async, high-performance REST APIs with FastAPI: LLM calls, embedding services, document processing endpoints. OpenAPI documentation auto-generated.

RAG Systems with LangChain & LlamaIndex

Retrieval-Augmented Generation (RAG) pipelines that extract knowledge from your documents and feed it contextually to LLMs. Vector store (Pinecone, Chroma, pgvector) integration included.

Business Process Automation

Automating repetitive data processing, reporting and API integration tasks with Python scripts or n8n hybrid flows. Scheduled jobs (cron), webhook triggers.

Data Pipelines and ETL

Data transformation, cleaning and analysis with Pandas and Polars; fetching and processing data from external APIs; loading into PostgreSQL/SQLite.

Use Cases

AI Chatbot Backend

Document-based chatbot service with FastAPI + LangChain — integrated into your website or app.

Document Analysis Tool

Data extraction, summarization and Q&A system from PDF/Word documents.

Data Analysis Pipeline

Automated data fetching, cleaning and reporting from external API or database.

LLM API Wrapper Service

Secure, rate-limited API layer for connecting Claude or GPT to your own product.

Business Process Bot

Python script automating repetitive tasks: email sending, form filling, report generation.

Technology Stack

Python FastAPI LangChain LlamaIndex OpenAI Anthropic Claude Pandas Polars PostgreSQL pgvector Pinecone Docker

How We Work

  1. Discovery — Existing system analysis, integration needs and scope definition.
  2. Architecture — API design, model selection (Claude/GPT/Gemini), vector store decision.
  3. Development — Iterative development with intermediate deliverables and feedback.
  4. Testing — Performance, accuracy and integration tests.
  5. Deployment — Docker container, cloud deploy (AWS/Hetzner), monitoring.
  6. Maintenance — Model updates, prompt optimization, cost monitoring.

Pricing Approach

Simple automation script: $750 - $2.5K. AI backend service: $2.5K - $10K. RAG + full integration: $7.5K - $25K.

See full pricing & packages →

Frequently Asked Questions

No. Our focus is AI/ML backend services, FastAPI APIs and automation scripts. For full web apps we use Laravel or Next.js.

Yes. FastAPI service deployed as Docker container; your existing app connects via REST API.

Anthropic Claude, OpenAI GPT, Google Gemini. Model selected per project requirements; Claude is priority in most projects.

Simple RAG: 2-3 weeks. Complex multi-source system: 4-8 weeks.

LLM costs can be optimized 50-80% with rate limiting, prompt caching, model tier selection and monitoring dashboard. Estimated cost calculated in discovery phase.

API data not used for model training (Anthropic/OpenAI Enterprise guarantee). On-premise model (Ollama, vLLM) available as alternative.

Read the Pillar Guide

For an in-depth article on this topic with cost breakdowns, real examples and 2026 trends, see our pillar guide.

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