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Python Development

Python for AI, Automation
& Data Intelligence

We build Python-powered AI applications, automation pipelines, data processing systems and Django web services that give your business a measurable competitive edge.

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Tech Stack
Python 3.12DjangoFastAPIOpenAI APILangChainTensorFlowpandasCeleryPostgreSQLDocker
What We Build

Our Python Capabilities

From AI-powered customer-facing products to internal automation that saves your team hundreds of hours — Python enables them all.

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AI & LLM Applications
Custom AI applications powered by OpenAI, Anthropic or open-source LLMs — chatbots, document Q&A systems, content generators and intelligent assistants with your business data.
🧠
Machine Learning Models
Custom ML models for prediction, classification, recommendation and anomaly detection — trained on your data, integrated into your existing systems via REST APIs.
⚙️
Process Automation
Automated data extraction, document processing, report generation, email automation and business workflow automation — eliminating repetitive work across your operations.
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Data Pipelines & Analytics
ETL pipelines with pandas, NumPy and SQLAlchemy — pulling data from multiple sources, transforming it and loading into dashboards or databases for real-time business intelligence.
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Django & FastAPI Backends
Production-ready web APIs built on Django REST Framework or FastAPI — authentication, permissions, pagination, background tasks and async endpoints.
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Web Scraping & Data Collection
Scalable web scrapers with Scrapy, Playwright or BeautifulSoup — competitive intelligence, market research, price monitoring and lead data collection.
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NLP & Text Analysis
Sentiment analysis, entity extraction, document classification and language understanding — making sense of unstructured text data from reviews, tickets or social media.
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Computer Vision
Image recognition, object detection, OCR and document scanning using OpenCV, TensorFlow and cloud vision APIs — automating visual inspection and data extraction.
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RAG & Vector Search
Retrieval-Augmented Generation systems with Pinecone, Chroma or pgvector — letting your AI apps answer questions accurately from your own documents and knowledge base.
Real-World Applications

Python AI We've Built for Indian Businesses

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Saarthi — Customer Support Bot
WhatsApp and web chatbot trained on product catalogue and FAQ, handling 70% of support queries automatically. Built with Python, FastAPI and OpenAI GPT-4.
FastAPIOpenAIWhatsApp API
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Invoice Data Extractor
Automated extraction of vendor name, GST number, line items and totals from scanned invoices using Python OCR and a fine-tuned extraction model. Saves 14 hours/month.
Tesseract OCROpenAIpandas
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Sales Forecasting Engine
ML model predicting monthly revenue for each SKU based on historical data, seasonality and external factors — integrated into a Django dashboard for management review.
scikit-learnDjangoPostgreSQL
Our Process

How We Deliver Python Projects

We apply a structured, iterative process for Python and AI projects — with clear milestones and constant communication.

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01
Problem Definition & Data Audit

We understand your business problem, audit available data quality and quantity, and define measurable success criteria before any code is written.

02
Proof of Concept

For AI/ML projects, we build a working prototype first — validating that the approach is feasible and that model performance meets your requirements before full development.

03
Modular Development

Clean, modular Python with type hints, docstrings and thorough pytest coverage. Each component is independently testable and replaceable.

04
Integration & API Wrapping

Your Python logic is wrapped in a clean FastAPI or Django REST API so it can be consumed by your web app, mobile app or third-party systems.

05
Deployment & Monitoring

Dockerised Python services on AWS or DigitalOcean, with Celery workers for background tasks, Flower for monitoring and Sentry for error tracking.

25+
Python / AI Projects
70%
Avg Query Automation
14hrs
Avg Monthly Time Saved
98%
Client Satisfaction
FAQ

Python Development Questions

Do I need a large dataset to build an AI feature?
Not always. Many of the most powerful AI features — like document Q&A, customer support bots, and content generation — use large pre-trained models (GPT-4, Claude, Gemini) and simply need your business data in a structured form. Full custom ML model training does require significant data, but we'll tell you honestly during discovery whether that's actually what you need.
How much does an AI integration typically cost?
A focused AI integration — like a chatbot trained on your FAQ, or an automation that processes documents — typically costs ₹40,000–₹1,20,000 depending on complexity. Full custom ML model development is more expensive and quoted individually. API costs (OpenAI, Anthropic) are billed separately at cost — we don't mark these up.
Can Python automation work with our existing software?
Yes — Python is one of the most integrable languages available. If your software has an API, we can connect to it. If it doesn't, Python can often still interact via browser automation (Playwright), file-based integration, database access, or email parsing. We assess integration feasibility during our first call.
Will the Python code be maintainable after handover?
We write Python with maintenance in mind — type hints, docstrings, comprehensive tests and a clear project README. We also offer ongoing maintenance retainers for clients who want continued support, model updates or feature additions after initial delivery.

Let's Talk About Your AI or Automation Project

Free discovery call — we'll assess feasibility, recommend the right approach, and give you a clear quote.

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