AZRIVA Software Development
          Company Ahmedabad
Python Development Company

Python Development Company AI, ML & Web Apps. Build Your AI Backend. Then Your Mobile App.

Partner with a python development company that builds high-performance AI backends, machine learning systems, REST APIs, and Django web applications — then extends them to AI-powered iOS and Android mobile apps on the same Python infrastructure. Fixed price. Direct engineer access. Our AI-powered development pipeline uses TensorFlow, PyTorch, and LangChain on every project that needs it. Trusted by clients across USA, UK, Canada and India.

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★★★★★ Rated by clients
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Fixed Price — No Hourly ML Billing
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TensorFlow · PyTorch · LangChain
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FastAPI · Django Specialists
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Direct Python Engineer Access
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NDA Signed Before Project Starts
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USA · UK · Canada · India
36.0%
Developers Using Python Worldwide — Statista, 2024
$407.7B
AI & ML Market Size 2027 — Mordor Intelligence
45.7%
Data Scientists Using Python as Primary Language — Statista, 2024
$391.3B
Global Mobile App Market Size 2026 — Mordor Intelligence
100%
Fixed Price on Every Python Project — AZRIVA Commitment

A Python Development Company That Deploys AI Backends and Mobile Apps From One Team

Most Python AI projects never reach production. A data scientist builds a promising ML model with strong evaluation metrics — then nobody can deploy it. There is no API, no scalable serving infrastructure, no monitoring for model drift, and no path to putting it in front of real users on web or mobile. The model sits in a Jupyter notebook collecting dust while the business waits for results that never come.

Our team takes Python ML models from notebook to production — FastAPI model serving, Docker deployment on AWS or GCP, inference monitoring, and retraining pipelines — and builds the mobile app that exposes those AI features to users on iOS and Android. Same team. Same architecture decisions. Whether you need a Django web platform, a FastAPI microservice, or a full AI-powered application with TensorFlow and LangChain — we design the Python system to serve web and mobile from a single AI backend layer from day one.

Every Python backend we deliver follows clean architecture — async FastAPI with Pydantic models, Celery for background ML tasks, vector database integration for semantic search, and pytest test coverage throughout. ML projects are delivered with agreed accuracy benchmarks, full model evaluation reports at each sprint, and trained model weights transferred to you at handover — no IP retention, no ongoing licensing.

AZRIVA is an Ahmedabad-based Python development team working IST with daily overlap into UK mornings and USA afternoons. Every Python project is fixed price — including ML model training with agreed benchmarks, not open-ended hourly training cycles. A mutual NDA is signed before any project discussion. Clients across USA, UK, Canada and India trust us with Python AI backends, ML system builds, Django platforms, and AI-powered mobile apps. Get a fixed-price Python quote within 48 hours.

Get a Fixed-Price Python Quote

Tell us your Python requirements — AI backend, ML system, Django web app, FastAPI, or a Python platform with a mobile app on top. Fixed-price proposal within 48 hours.

NDA signed before every project discussion.

What Our We Deliver Builds for You

End-to-end Python development — AI backends, ML systems, FastAPI and Django web applications, and AI-powered mobile apps built on top of your Python infrastructure. Fixed price. Full source code and model ownership.

01

Python AI Backend Development

Production-grade Python AI backends — FastAPI model serving, async task queues with Celery, vector database integration for semantic search, and model drift monitoring. Your ML models deployed to production, serving web and mobile users in real time.

02

Machine Learning Systems

End-to-end ML development — data preprocessing, feature engineering, model training with TensorFlow and PyTorch, evaluation against agreed accuracy benchmarks, and production deployment. Fixed price including ML training cycles. Trained model weights yours at handover.

03
AI-Powered

LLM & Generative AI Development

LangChain, LlamaIndex, and Hugging Face Transformers integrated into Python backends — RAG pipelines, AI chatbots, document processing, and semantic search. Your Python AI backend serves these features to web and mobile from a single inference layer.

04

Django & FastAPI Web Apps

Django for full-stack web applications with built-in admin, ORM, and authentication. FastAPI for high-performance async REST APIs with auto-generated OpenAPI documentation. Both deployed on AWS, GCP, or Azure with Docker and CI/CD pipelines.

05

Data Pipelines & Analytics

Python data pipelines built with Pandas, NumPy, and Apache Spark — ETL, real-time data processing, business intelligence integrations, and automated reporting. Vector databases with Pinecone or pgvector for AI-powered search and retrieval.

06

Python AI + Mobile App

We build the Python AI backend and the iOS and Android mobile app that runs on top of it — same team. Your FastAPI ML inference layer powers AI features on mobile from day one. No second vendor, no integration gaps, no duplicated model logic.

07

Python & AI Market — Why the Demand Is Accelerating

Python is the dominant AI language — and demand is accelerating. AZRIVA builds AI-powered mobile apps on top of every Python backend we deliver. Fixed price, full model ownership.

36.0%
Developers Using Python Worldwide — Statista, 2024
$407.7B
AI & ML Market Size 2027 — Mordor Intelligence
45.7%
Data Scientists Choose Python — Statista, 2024

Python Development Tools We Work With

Every Python project is built with the right tool for the workload — FastAPI or Django for the API layer, TensorFlow or PyTorch for ML, and AWS or GCP for production deployment. Full source code and model weights handed over at project completion.

Core Framework
Python 3.12FastAPIDjangoFlaskCeleryPydanticSQLAlchemy
Language / Framework
AI & ML Libraries
TensorFlowPyTorchscikit-learnLangChainLlamaIndexHugging FaceOpenAI API
AI / ML
Data & Vector
PandasNumPyPostgreSQLPineconepgvectorRedisApache Spark
Data Layer
Cloud & DevOps
AWS SageMakerGCP Vertex AIDockerKubernetesGitHub ActionsNginxCloudflare
Infrastructure

Real Python Challenges.

Every project carries risks — poor UX, missed deadlines, underperforming results. Here is how we eliminate each one.

01
The Problem

Python AI Projects That Never Reach Production

Most Python AI projects die in Jupyter notebooks. A data scientist builds a promising ML model with 85% accuracy on test data — then nobody can deploy it. There is no API, no scalable serving infrastructure, no monitoring for model drift, and no path to putting it in front of real users on web or mobile.

01
Our Solution

Python AI Models Deployed to Production — Not Just Notebooks

We take Python ML models from notebook to production — FastAPI model serving, Docker deployment, inference monitoring, and model retraining pipelines. Your AI-powered Python backend becomes a real production system serving your web app and mobile app users in real time — not a demo that impresses stakeholders once then collects dust.

02
The Problem

Python Backend Live — But AI Features Bolted On as Afterthoughts

You built a Django or FastAPI backend and now want to add AI — recommendations, NLP search, anomaly detection, or a chatbot. The backend was not designed for ML workloads. AI features get bolted on as external API calls, creating latency bottlenecks, single points of failure, and a codebase that two different teams built with no shared architecture.

02
Our Solution

AI Architecture Designed Into Python From Sprint One

We design Python backends with AI as a first-class citizen — async task queues for ML inference, vector database integration for semantic search, and clean service layers separating business logic from model calls. Your AI development features are part of the architecture, not patches on top of it. The same Python AI backend scales to serve your mobile app users without rebuilding.

03
The Problem

Python Platform Built — But Mobile Users Cannot Access It

Your Python web application serves desktop users well. But your customers increasingly live on mobile. The Python backend and its AI features work perfectly — the problem is there is no mobile app to expose them to users. Finding a mobile agency that understands your Python ML architecture means weeks of API documentation and integration bugs that neither team owns.

03
Our Solution

One Team Builds Your Python AI Backend and Mobile App

We build the Python backend and the mobile app development that runs on top of it — same team, same architecture decisions. Your Python FastAPI serves the mobile app natively. Your ML models power AI-powered app features on iOS and Android from day one. No second vendor. No integration team that does not understand your Python ML system.

Have a Python Project to Build?
Let's Scope It.

Tell us what you need — a Python AI backend, ML system, Django web app, or a Python platform that extends to an AI-powered mobile app. Fixed-price proposal within 48 hours. No obligation, no sales call required.

Reach Out Now
+91 96389 24757
Get a Fixed-Price Python Quote

How We Deliver Python Projects

A six-stage delivery process — whether Python AI backend, ML system, or web application — every sprint delivers a real build or model evaluation report. The same discipline whether building your <a href="/ai-powered-app-development-company-india/" class="content-link">Python AI backend</a> or the <a href="/mobile-app-development-company-india/" class="content-link">mobile app</a> on top of it. No black-box development. No surprises at launch.

01

Discovery & AI Architecture Planning

We begin with a structured discovery call to understand your Python project — AI and ML objectives, available data, API requirements, and deployment targets. We confirm the right Python stack — Django, FastAPI, TensorFlow, PyTorch, LangChain — and design the system architecture before any code is written.

02

Model & API Design Sign-Off

For ML projects, model architecture, training data requirements, evaluation metrics, and accuracy benchmarks are documented and agreed before development begins. For web and API projects, UI screens and API contracts are signed off in Figma and OpenAPI documentation. Nothing moves to development without your approval.

03

Fixed-Price Proposal

A fixed-price proposal covers the complete Python scope — backend modules, ML model training with agreed benchmarks, API endpoints, data pipeline architecture, testing, and deployment. One price. No hourly model training billing. No scope creep on agreed deliverables.

04

Python Development Sprints

Python development runs in two-week sprints. API and web work delivers deployable staging builds. ML work delivers model checkpoints with evaluation metrics — accuracy, precision, recall, latency — at the end of every sprint. You see real progress on both the software and the AI throughout the project.

05

QA — Testing and Model Evaluation

Every Python build is tested with pytest. ML models are evaluated against all agreed benchmarks on held-out test data. API endpoints are load tested and security tested. No build ships and no model deploys without passing all agreed acceptance criteria.

06

Deployment & Mobile Extension

We deploy Python backends and ML serving infrastructure via Docker on AWS, GCP, or Azure. Post-launch support included for 60 days including model drift monitoring. When your Python AI system is ready for mobile users — our team builds the AI-powered iOS and Android app on top of your Python backend.

Industry-Specific Python Development

We deliver AI solutions for Python applications, machine learning models, and data platforms across the industries where intelligent automation, predictive analytics, and scientific computing create the most transformative business outcomes — healthcare, agriculture, and semiconductors.

What Sets Our Python Development Apart

Businesses choose us because of how we work — not just what we build.

AZRIVA mobile app development team — Ahmedabad, India
AI-Powered
TensorFlow · PyTorch · LangChain

Python AI Development — TensorFlow, PyTorch and LangChain

We build Python AI backends using TensorFlow, PyTorch, scikit-learn, LangChain, and Hugging Face Transformers. Your Python ML models are deployed to production — not just notebooks. The same AI backend serves your web app and your mobile app from a single Python inference layer.

Fixed Price
No Hourly ML Billing

Fixed-Price Python Development — AI Backend to Mobile App

Every Python project is scoped and priced before development begins — including ML model training with agreed accuracy benchmarks. No open-ended hourly ML billing, no model training cycles that run indefinitely. Fixed price from Python AI backend through to the mobile app that runs on top of it.

IST Overlap
USA · UK · Canada

India-Based Python Team — Daily Overlap With USA & UK

Our Ahmedabad Python development team works IST — real-time overlap with UK mornings and USA afternoons. Overseas clients get same-day responses, sprint-end model demos, and direct access to the Python and ML engineers building their platform — not account manager relays.

NDA Protected
Full Code & Model Ownership

NDA Signed First — Python Code and ML Models Yours at Handover

A mutual NDA is signed before any project discussion. Full Python source code and trained ML model weights transfer to you at handover — no licensing, no lock-in, no retained IP. Your Python backend, your data pipelines, and your ML models belong to you completely.

AZRIVA software development team Ahmedabad — mobile app development
Hire a Trusted Mobile App Development Team in India
We build scalable Android, iOS, and Flutter applications for startups and businesses worldwide.
Google UX Design Certified Team · 15+ Years Experience · India-Based Development Team
Get a Free Consultation

for AI & Web Backends vs Node.js vs PHP / Laravel — Which Is Right for You?

Choosing the right backend for your AI platform and web application. How Python compares against Node.js and PHP across the criteria that matter most to businesses building production AI systems and mobile-ready backends.

RECOMMENDED

Python

AI & ML Backend Leader

Best for: AI/ML systems, data pipelines, LLM apps, research-to-production

Node.js

JavaScript Runtime

Best for: Real-time apps, microservices, JavaScript-first teams

PHP / Laravel

Mature Web Ecosystem

Best for: Web apps, eCommerce, content platforms, CMS projects
Criteria
Python
Node.js
PHP / Laravel
AI & ML Integration
⚡ Best — native TensorFlow, PyTorch, LangChain
⌛ OpenAI via npm only
⌛ Limited native ML libraries
LLM & Generative AI
⚡ Best — LangChain, LlamaIndex, Hugging Face native
⌛ Possible but fragmented
⌛ Not a natural fit
REST API Performance
✅ FastAPI — fastest Python framework
⚡ Best async performance
✅ Laravel — mature and fast
Web App Development
⌛ Django strong but less batteries than Laravel
⌛ Express requires manual setup
⚡ Best — Laravel batteries included
Mobile Backend Ready
✅ FastAPI serves mobile APIs natively
✅ REST APIs well supported
✅ Laravel Sanctum + API Resources
Data Pipeline & ETL
⚡ Best — Pandas, NumPy, Apache Spark native
⌛ Possible but heavyweight
⌛ Not designed for data workloads
Fixed-Price Suitability
✅ ML benchmarks make scope definable
⌛ JavaScript scope can drift
✅ Mature, predictable, well-scoped
Developer Availability (India)
✅ Large Python/ML talent pool
✅ Good Node.js availability
⚡ Largest pool — PHP most common

Not sure which backend suits your AI project? Tell us your requirements and we will recommend the right stack with a fixed-price estimate.

Get a Free Tech Consultation
Want a detailed breakdown? AI Integration in Mobile Apps — Read Our Guide

How Much Does Fixed Pricing

Every Python project at AZRIVA is fixed price — including ML model training with agreed accuracy benchmarks. Pricing depends on scope, model complexity, and data pipeline requirements. All tiers include full source code and model ownership.

01
Starter Python Project
Simple FastAPI or Django REST API. Business tool, data dashboard, or lightweight ML feature integration with an existing model. Ideal for startups validating a Python API or adding a single AI feature to an existing product.
FastAPI / DjangoSingle ML FeatureAWS Deployment6–10 Weeks
$1,000 – $5,000
Fixed price · Starting from
MOST POPULAR
02
Mid-Scale Python Platform
Full Django or FastAPI platform with ML features, admin panel, third-party integrations, and API serving a web or mobile frontend. Custom model training with agreed benchmarks. The tier most overseas clients choose for their first Python AI product.
Django / FastAPICustom ML ModelAWS / GCP14–22 Weeks
$5,000 – $15,000
Fixed price · Starting from
PREMIUM PLAN
03
Enterprise Python AI System
Complex Python AI platforms — LLM-powered applications, multi-model ML pipelines, real-time inference at scale, vector search, data pipeline architecture, and a mobile app on top. Clients at this tier often extend to mobile app development in the next phase.
FastAPI + LangChainMulti-Model MLGCP / AWS Enterprise24–40 Weeks
$15,000 – $50,000
Fixed price · Starting from
04
Custom Python Scope
Research-to-production ML deployment, legacy Python migration, or a platform scope that does not fit the tiers above. Tell us what you need — fixed-price proposal within 48 hours.
Any Python ScopeML Deployment IncludedProposal in 48 Hours

All pricing is fixed — the number in your proposal is the number on your invoice. ML model training cycles with agreed benchmarks are included in the fixed price — no hourly billing surprises. Clients who extend their Python platform to mobile app development receive the same fixed-price model for the mobile project. VAT/GST applicable for Indian clients.

How We Engage With Businesses

Whether you need a fixed-price Python AI backend, a dedicated team for ongoing ML development, or a full AI-first architecture serving both your web platform and future mobile app from a single Python inference layer.

Need a Python AI System Built?
Let's Build It Right.

Tell us what you need — a Python AI backend, ML model, Django web app, or a Python platform that extends to an AI-powered mobile app. Fixed-price proposal within 48 hours for clients across USA, UK, Canada and India.

Reach Out Now
+91 96389 24757
Get a Free Python Quote

Technologies & Services We Work On

We use the right technology for each project — battle-tested stacks chosen for performance, scalability, and long-term maintainability.

Mobile App Development — AZRIVA
Mobile
App Development
AI & ML Solutions — AZRIVA
AI
AI & ML
Solutions
Website Development — AZRIVA
Website
Development
E-Commerce Development — AZRIVA
E-Commerce
Development
Platform & APIs — AZRIVA
Platform
& APIs
Software Solutions — AZRIVA
Software
Solutions

Python Platforms Built for Every Stage of Growth

From a startup building their first Python AI product to an enterprise deploying production ML systems — we deliver every project at a fixed price. When your Python backend is live, our mobile app development team builds the AI-powered mobile app on top of your existing Python infrastructure. Clients across USA, UK, Canada and India.

Industry-Specific Development Solutions

We build apps & AI solutions for 14+ industries. Deep domain knowledge and current market trends shape every app we design and engineer.

1 / 7

Projects We Have Delivered

Two platforms delivered at a fixed price — a luxury hospitality booking platform for a UK client and an agricultural mobile platform for Indian farmers. Both built with mobile app development readiness in the backend architecture.

Luxury Property Rental Platform — Spain
Travel & Hospitality

Luxury Property Rental Platform — Spain

A full-stack luxury vacation rental marketplace built for a UK-based hospitality client — property discovery with geospatial map search under 45ms, automated Stripe escrow payments, host onboarding, and a 98/100 Lighthouse performance score. Delivered in 14 weeks at a fixed price with 300% revenue growth post-launch.

Next.js 15TypeScriptTailwind CSSPostgreSQL
View Case Study
ICAR Krishi — Government Agriculture App for Farmers in Gujarat
Government / Agriculture

ICAR Krishi — Kisan Mobile App

An Android mobile app built for the Indian Council of Agricultural Research (ICAR), Junagadh, Gujarat — delivering verified seed variety data and weather-based crop advisories to farmers. Offline-first, multi-language (Hindi, Gujarati, English), and optimised for low-end devices and rural low-connectivity conditions. Delivered in 16 weeks at a fixed price.

Android NativeNode.jsFirebaseAWS
View Case Study
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What Clients Say About Our Python Development

Feedback from clients who hired our team for Python backend and AI development. Every project delivered with <a href="/ai-powered-app-development-company-india/" class="content-link">AI-powered development</a> tools, full test coverage, and a fixed-price commitment.

"
The Android app with DRM-protected content streaming was exactly what we needed. Widevine integration worked perfectly from day one. The team understood our requirements completely and delivered without compromise.
Spiritual Platform Client
GuruTattva App, India
Technical Leader
Ahmedabad, India
Ahmedabad, India
"
The Flutter app delivered for our field team works flawlessly even in low-connectivity areas. Offline sync was exactly what we needed. Post-launch support has been excellent.
Enterprise Client
Confidential — NDA
Chief Technology Officer
Mumbai, India
Mumbai, India
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Python & AI Development Insights

Practical guides from our engineering team — written for founders and CTOs building Python backends and AI-powered applications.

How to Integrate AI Into Your Mobile App — Complete Guide — AZRIVA Insights
AI

How to Integrate AI Into Your Mobile App — Complete Guide

A straight-talking guide to AI integration in mobile apps — covering use cases, implementation approaches, cost expectations, and how to add AI features to an existing app without starting from scratch.

AI IntegrationMobile App
Read Article
Custom Software vs Off-the-Shelf — Which is Right for Your Business? — AZRIVA Insights
Software

Custom Software vs Off-the-Shelf — Which is Right for Your Business?

A straight-talking comparison of custom software vs off-the-shelf solutions — covering total cost of ownership, flexibility, integration capability, and which approach delivers better long-term value for growing businesses.

Custom SoftwareSoftware Development
Read Article
Fixed Price App Development — Why It Beats Hourly Billing Every Time — AZRIVA Insights
Mobile App

Fixed Price App Development — Why It Beats Hourly Billing Every Time

A straight-talking breakdown of fixed price app development versus hourly billing — covering budget control, risk exposure, project scope, and which pricing model is right for your business.

Fixed PriceApp Development
Read Article
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Need a Python AI System Built?
Let's Build It Right.

Tell us what you need — a Python AI backend, ML model, Django web app, or a Python platform that extends to an AI-powered mobile app. Fixed-price proposal within 48 hours.

Reach Out Now
+91 96389 24757
Get a Free Python Quote

Python Development — Frequently Asked Questions

Our team has answered the most common questions about our services.

Updated May 2026
Python development cost in India depends on project type and complexity. A Django or FastAPI REST API backend starts from $5,000–$12,000. A mid-complexity Python platform ranges from $12,000–$35,000. Python AI and machine learning systems start from $15,000 for focused ML features and $40,000 upward for enterprise AI platforms. As a full-service mobile app development company in India, we also build the AI-powered mobile app on top of your Python backend at the same India pricing advantage. Contact us via our quote page for an estimate within 48 hours.
A simple Python REST API takes 6–10 weeks. A mid-complexity Python platform with ML features typically takes 16–24 weeks. Complex Python AI systems take 24–40 weeks. After your Python AI backend is live, extending to an AI-powered mobile app on top of your Python API typically adds 10–16 weeks for a cross-platform iOS and Android application. We deliver deployable staging builds and model evaluation reports at the end of every two-week sprint throughout.
For machine learning we use TensorFlow, PyTorch, and scikit-learn for model training. For LLM and generative AI integration we use LangChain, LlamaIndex, and Hugging Face Transformers. For data processing: Pandas, NumPy, and Apache Spark for large datasets. For vector databases: Pinecone, Weaviate, and pgvector. For model serving: FastAPI with async inference, Celery for background ML tasks, and Redis for caching. Our AI app development team deploys ML models on AWS SageMaker, GCP Vertex AI, or self-hosted Docker containers.
Yes — this is one of our strongest capabilities. Your Python ML model served via FastAPI becomes the AI engine of an iOS and Android mobile app. The mobile app sends user inputs to your Python API, the ML model processes them, and results return in real time — recommendations, predictions, image classification, NLP responses, or conversational AI. One Python backend serving web and mobile simultaneously. No model logic duplicated. No separate mobile AI pipeline.
Django is Python's full-stack framework — built-in ORM, admin panel, authentication, and templating make it ideal for content-heavy web applications and internal tools. FastAPI is a modern async framework optimised for high-performance REST APIs — faster than Django for pure API workloads and auto-generates OpenAPI documentation. For mobile app backends and AI-powered applications, we typically use FastAPI. For full web applications with admin panels, we use Django. Many projects use both — Django for admin and FastAPI for the mobile API layer.
Yes. Python ML development is a core capability — data preprocessing, feature engineering, model selection, training, evaluation, and production deployment. We work with supervised and unsupervised learning, NLP and text classification, computer vision with CNNs, recommendation systems, time series forecasting, and LLM integration. Every ML project is delivered at a fixed price with agreed accuracy benchmarks — not open-ended model training cycles billed hourly. Trained models are your IP — weights and code transfer to you at project handover.
Yes. If you have an existing web platform or mobile app without AI features, we can add a Python AI layer — a FastAPI microservice that integrates with your existing infrastructure. Common integrations include AI search using vector embeddings, document processing and classification, user behaviour prediction, automated content generation, and conversational AI chatbots. The Python AI service integrates with your existing platform without requiring a full rebuild.
Python development costs in India are 60–70% lower than equivalent agencies in the USA, UK, or Australia. Python AI and ML expertise — TensorFlow, PyTorch, LangChain — that costs $150–$200 per hour in the USA is available at fixed-project pricing from our India-based team. Our mobile app development company in India also builds the AI-powered mobile app on top of your Python backend — one partner for AI backend and mobile frontend at consistent India pricing.
Yes. Every Python project includes 60 days of post-launch support as standard — bug fixes, performance monitoring, security patches, dependency updates, and model drift monitoring. For ML systems, we monitor model accuracy against production data distributions and flag when retraining is needed. After the initial period, we offer ongoing maintenance retainers. Clients who extend to mobile app development benefit from unified maintenance across Python backend and mobile from one team.
RAG — Retrieval Augmented Generation — is an architecture that connects a large language model to your own data, allowing it to answer questions using your documents, knowledge base, or database rather than just its training data. We build RAG systems using LangChain or LlamaIndex with Python, a vector database like Pinecone or pgvector, and your chosen LLM — OpenAI, Anthropic, or an open-source model on Hugging Face. The result is a chatbot or search system that answers accurately from your data rather than hallucinating. Our AI-powered app development team delivers RAG systems at a fixed price with agreed accuracy benchmarks.
Yes. We deploy Python ML models on AWS SageMaker, GCP Vertex AI, and self-hosted Docker containers depending on your infrastructure requirements and budget. For real-time inference, FastAPI serves model predictions with low latency. For batch workloads, Celery manages background inference tasks with Redis as the message broker. Model versioning, A/B testing between model versions, and monitoring for data drift are all part of our ML deployment practice. After deployment, your AI-powered Python backend is ready to serve your mobile app from the same infrastructure.
The process starts with a 30-minute discovery call or a detailed project brief submitted via our quote page. We review your Python requirements, ask clarifying questions about data, ML objectives, and integrations, and send a fixed-price proposal within 48 hours. NDA is signed before any detailed technical discussion. After proposal acceptance, we design the system architecture and agree ML benchmarks — nothing is coded until you have reviewed and approved the complete technical scope. Clients across USA, UK, Canada and India follow the same process regardless of project size.
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