Brief
You describe the users, the job to be done, current tools and any hard date or constraint. A page is enough.
Technologies
Python development for automation, data work and AI features with a production path
Hirvex Technologies uses Python where it is the honest tool: data workflows, automation, model-adjacent services and APIs that sit beside a Laravel or .NET product. Notebooks are not production. We ship services with dependencies pinned and a way to run them again.
Who this is for. Operations and product teams who need more than a spreadsheet macro, and less than a science-fair.
Problems we typically meet
These are the patterns that show up before a useful first release—not abstract “digital transformation” language.
- A critical process is a notebook on someone’s laptop.
- AI prototypes cannot be permissioned or logged.
- Data jobs have no owner when they fail at 2 a.m.
- Python was chosen because it is popular, not because it fits the rest of the stack.
How we approach the work
We isolate Python services with clear inputs and outputs. Heavy jobs run async. If the system of record is Laravel, Python does not become a second CRM.
What a serious first release can include
Scope is confirmed in discovery. This is the shape of work we are equipped to deliver—not a menu you must buy in full.
- Automation services
- Data transformation jobs
- API wrappers around models and tools
- Evaluation and logging for AI features
- Integration with existing business apps
What we need from you
A useful brief is better than a long one. If you can answer most of the following, we can propose a first slice instead of a theatre estimate.
- Who will use this, and what must they finish in a session?
- Which systems must stay (accounting, payments, identity, a shop)?
- What is already live that we should not break?
- Any hosting region, language or compliance rule that is non-negotiable?
- The date that actually matters—and why.
How an engagement runs
Four steps. No mystery bench.
Scope
We reply with clarifying questions and a first-release outline: modules, roles, integrations and what “done” means.
Build
Named engineers work in visible increments, with staging you can click and a weekly written status.
Run
Launch, handover and a support path. The system is yours to operate—not a black box we disappear from.
Questions we are asked
Django or FastAPI?
FastAPI (or similar) for focused services. Django when we are actually building a Python web product. We do not start a framework war in the proposal.
Will you maintain data science experiments?
We productionise what has a job and an owner. Open-ended research without a product brief is a different engagement.
Start a conversation
If this is the work in front of you
Send the users, the job to be done and any hard constraint. We will answer as engineers—not with a canned brochure.