Ecommerce
Scalable Python solutions for online retail.
Your trusted partner in Python consulting and development.
Scalable Python solutions for online retail.
Data-driven software for the automotive sector.
Secure, compliant HealthTech solutions.
High-load platforms for media companies.
User-facing services and portals.
Banking, financial services and insurance software.
Best solutions for data-driven companies.
Integration with PostgreSQL, MongoDB and services like Mailgun, Sendgrid, Twilio.
Django and Flask frameworks for back-end development.
USA · Security. A data verification platform (250+ employees, $70M Series B). Our engineers built the entire microservice infrastructure, dashboards and testing. (Python, Node.JS, React)
USA · Healthcare. A SaaS physician AI augmentation and scribe system — 19 engineers outstaffed; telemedicine automation, NLP knowledge base, AR diagnostics. (Angular, Ansible, Django, Python, AI/NLP/ML)
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We use both of these mature Python frameworks for back-end development. Django comes with an admin panel, ORM, authentication and many other built-in features, so it suits larger products and data-heavy platforms. Flask is minimal and flexible and fits small services, APIs and microservices. We recommend one based on your product, team and integration needs, and sometimes use both in one system.
We have built Python software for ecommerce, the automotive sector, healthcare, media and publishing, consumer services, and banking, financial services and insurance. Examples include a SaaS physician AI augmentation and scribe system in the USA and a data verification platform for which our engineers built the entire microservice infrastructure, dashboards and testing.
Yes. We connect Python applications to databases such as PostgreSQL and MongoDB and to services like Mailgun, Sendgrid and Twilio for email and messaging. Payment providers, CRMs, analytics tools and internal APIs get the same treatment: we study the API, handle errors and retries, and cover the integration with tests.
Yes. For AdviNow, a SaaS physician AI augmentation and scribe system in the USA, we outstaffed 19 engineers who worked on telemedicine automation, the NLP knowledge base and AR diagnostics. For a security-focused data verification company we built the entire microservice infrastructure. We can start with a few engineers and add more as the project grows.
Yes. First we review the code, dependencies, tests and infrastructure to understand where the project stands and what the main risks are. Then we agree priorities with you: urgent fixes, upgrades of outdated framework versions, performance work or further feature development. In more than 10 years of Python development we have seen most of the problems older projects run into.
Tell us about your project through the contact form and we will get back to you fast. The estimate depends on scope, integrations, data volume and performance requirements, and on whether you need a whole team or engineers who join yours. After a short call to clarify the details, we prepare an estimate for your specific requirements.
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