For CTOs and founders who need Django, FastAPI, or data platforms in production. Senior Python engineers (9 years avg.), onboarded in 10 days, with a 2-week trial.
SoftKraft is a Python development company for B2B products: Django and FastAPI web platforms, data pipelines, and AI backends — delivered by senior engineers with 9 years of experience on average.
We design and build B2B web platforms and APIs in Django or FastAPI — auth, billing, admin, integrations — so the product scales without a rewrite. See when Django fits B2B business software.
We turn a product idea into a technical plan: stack choice, delivery phases, and a budget range before you hire a team. Useful when the open question is Django vs Node, monolith vs services, or build vs augment.
We implement ingestion, orchestration, and warehousing in Python (Airflow, pandas, AWS/GCP) so analytics and AI run on governed data. See our Python data pipeline architecture guide.
We add RAG, background jobs, and model integrations to existing Django or FastAPI backends instead of throwing away the core system. See Django AI development best practices.
Predominantly senior engineers, 9+ years of experience on average. We take on systems that already have users, data, and compliance constraints, and guide the architecture decisions that keep them maintainable as the product grows.
End-to-end product delivery or team augmentation. You keep architecture ownership and your roadmap; we add senior Python capacity without a six-month recruiting cycle blocking the release plan.
Pipelines, APIs, and model integration sit in one delivery loop, so AI work never waits on a separate vendor. See our Python data pipeline architecture guide for the stack we run in production.
First engineers start in 10 days or less. The engagement opens with a complimentary 2-week trial, so you assess the fit on real work before committing to a longer contract.
By implementing ISO 27001 and other certifications, we ensure that our software development services are secure, reliable, and compliant with the highest industry standards.
Our Commitments to YouYou can trust that your data is safe and secure with our ISO 27001 certification and best practices in security and data protection.
You get piece-of-mind with our QA processes that adhere to the highest standards for delivering enterprise-grade software products.
You can count on us to quickly adjust to changes in your project needs and provide engineering talent with the required skills.
We partner with entrepreneurs, business and technology leaders to bring their innovative software-driven products, processes, and business ventures to life.
Workforce training SaaS, an AI supply-chain marketplace, and long-term SaaS maintenance — production systems, not demos.
Platform architecture design, React Native mobile apps, Python backend web app development, testing, and QA of a learning experience MVP
Building a scalable, autonomous data engine to index 32,000+ suppliers for a Series Seed startup using Agentic AI
K-12 attendance tracking platform Python development, code refactoring, ongoing support, and monitoring
We agree on the stack, in-house vs augmentation, and a budget range before anyone writes code.
Django or FastAPI, data and AI boundaries, and delivery slices mapped to your release milestones.
Engineers onboard in 10 days. The trial runs on real work before a longer contract starts.
Documentation, CI, and a team that can either stay on the roadmap or exit cleanly.
When Python is the core, we usually also cover data platforms, AI features, and SaaS delivery with the same engineering team.
We lock a budget range and delivery slices before coding starts, then run Agile with a Product Owner on your side and a tech lead on ours.
1. Approximate estimation based on your goals — an initial figure for the total project cost, built on target users, purpose, and the problem the product solves.
2. Product discovery workshop — the development team, Product Owner, and sponsor review the business idea and requirements together, so the team can size the work and budget realistically.
3. Timeline against the backlog — tasks are broken down and connected to budget and team size, which gives a first credible delivery estimate.
In an agile setup budget management is a shared responsibility: the Product Owner manages the backlog, the sponsor agrees the budget, and the team delivers within the agreed constraints. We deliver this as full-cycle software product development or through agile outsourcing when you keep the product lead in-house.
Python fits B2B products that combine business workflows, data, and AI on one backend — typically Django or FastAPI — while the UI can stay in a separate JavaScript stack.
Where it pays off:
Where it is the weaker default: ultra-low-latency interfaces, heavy real-time UI work, and mobile-first clients. Those stay in JavaScript or native code, with Python serving the API. If you are weighing the two, read Django vs Node.js for SaaS.
Django for full products, FastAPI for async APIs and ML serving, Flask only where Django would be overhead.
The risk we design against is the prototype that becomes a five-year core. Framework choice, service boundaries, and data access patterns are decided before the build, not patched afterwards. Where throughput matters, FastAPI pairs with queues such as Kafka or Redis to split workloads into independently scalable services.
Yes. You receive senior CVs, engineers onboard in 10 days or less, and the engagement opens with a complimentary 2-week trial.
Your tech lead keeps architecture ownership and code review; we add delivery capacity for a defined scope. If the fit is wrong, the trial ends without a long-term commitment. Teams that need the full product cycle — discovery, design, delivery, maintenance — usually start with software product development instead.
