Python
Development
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Python

200+ enterprises transformed
500+ domain trained professionals
US & India delivery centres
TYPICAL TARGET ARCHITECTURE
FastAPI & Django
Data & Automation
AI & Machine Learning
Cloud-Native Services
Trusted by enterprise clients who demand real-world impact
IS .NET RIGHT FOR YOU

We use Python where it creates real business leverage: API development, automation, data processing, machine learning, AI applications, and integration services. The focus is production engineering—not just prototypes.

Choose Python when your product benefits from a rich ecosystem for APIs, automation, data engineering, AI, and machine learning, while still requiring maintainable production software.

We pair Python's flexibility with clear architecture, typed interfaces, automated tests, containerized deployments, observability, and security controls so applications remain dependable as usage grows.

WHAT WE BUILD

Build fast, maintainable APIs and web applications with clear service boundaries, validation, authentication, and production-grade persistence.

Python 3.12, FastAPI, Django, Pydantic, PostgreSQL

Turn repetitive business processes into reliable automation workflows that connect applications, process data, and reduce manual operational effort.

Python Automation, Celery, REST APIs, Playwright, Pandas

Design data pipelines that collect, transform, validate, and serve business data for analytics, reporting, and downstream applications.

Pandas, PySpark, Databricks, Airflow, SQL

Build practical AI and machine learning capabilities, from model-backed features to retrieval systems and production inference services.

Azure OpenAI, scikit-learn, PyTorch, LangChain, MLflow

Package Python services for reliable cloud delivery with automated testing, CI/CD, monitoring, logging, and controlled releases.

Docker, Kubernetes, GitHub Actions, pytest, Grafana

Create intelligent agents and document workflows that can retrieve enterprise knowledge, classify content, extract information, and automate multi-step tasks.

RAG, Vector Search, LLMs, Document AI, AI Agents
PROOF

Three engagements with numbers attached. Every card leads with the outcome, not the technology.
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ENGAGEMENT & COST

How You Engage Us, and What Drives the Cost

Three commercial shapes, and an honest account of what moves the number. You shouldn't have to fill in a form to learn how a partner charges.
WHAT ACTUALLY MOVES THE NUMBER
Seniority mix
An architect-heavy team costs more per month and usually less overall. The wrong mix shows up as rework, not as an invoice line.
Scope certainty
Fixed price needs fixed scope. Where the requirement is still moving, time and materials beats the contingency a fixed bid has to carry.
Compliance requirements
Regulated environments add evidence, review cycles and audit trails. That is real work, and it belongs in the estimate rather than in a surprise.
Integration surface
The number of systems you must talk to predicts effort better than feature count. Ten integrations is a different project from two.
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Python
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HOW WE DELIVER

Our Enterprise-Ready Delivery Framework

The same five steps on every engagement.
STEP 01
Contextual Readiness
Ready-to-deploy solutions for your environment. We map the existing estate, its dependencies and its constraints before proposing anything.
STEP 02
Seamless Vendor Onboarding
Rapid integration with existing vendor ecosystems. Access, environments, security review and ways of working, handled so engineering time isn't spent on procurement.
STEP 03
Platform-Agnostic Engineering
Works across any technology stack. We build on the stack that earns its place. We won't force a technology decision to suit our bench.
STEP 04
Flexible Engagement Model
Scalable team structures to your needs. The commercial shape can change as the work does, without renegotiating the relationship.
STEP 05
Hybrid Global Delivery
Onshore, nearshore and offshore delivery, with overlap hours that make standups worth attending.
WHEN WE'RE STAFFING A TEAM
Curated profiles · 24 to 48 hrs
Onboard & kickoff · 48 to 72 hrs
Our published staffing SLAs, from the point a requirement is agreed. You interview the engineers before committing.
HOW IT RUNS IN PRACTICE
Two-week sprints, demoable increments, a backlog your product owner controls
Peer review on every change and quality gates that block rather than warn
Canary and blue-green releases with rollback, so a bad deploy is a non-event
TRUST

Built on Trust. Proven in Delivery.

200+
Enterprises Transformed
150+
AI Projects Delivered
$500M+
Business Value Generated
500+
Domain Trained Professionals
We have been working with Entrans for the last two years and they have played a key role in building our solution. Their expertise and professionalism were evident throughout the development cycle, and we were very pleased with the final product.
Nikolay Prokopiev
Chief Executive Officer
Entrans has been a trusted outsourced product development partner for 2 years now, providing a pool of good quality software engineers to tap into. Their team has a strong customer first orientation, is open to feedback and is a pleasure to work with.
Subramanian Visvanathan
Chief Executive Officer
RECOGNIZED, CERTIFIED & PARTNERED
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Certified
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Cloud Partner
TiE
Member
SICCI
Member
SOC 2 Type II
Certified
FAQS

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Every engineer signs an NDA before day one
You own the code from the first commit
You interview the engineers before committing