Technologies

Python development

APIs, data processing, and AI integrations where the ecosystem fits best.

Where it fits

Python is our choice for data processing, reporting pipelines, and AI workloads, backed by a deep library ecosystem.

It also powers internal scripts and one-off migrations that teams can maintain.

What Straxis builds with it

Data transformation and scheduled refreshes behind reporting dashboards, plus AI services and LLM orchestration.

We use FastAPI for services and AI endpoints, and Django when admin-heavy CRUD dominates.

Frequently asked questions

FastAPI for services and AI endpoints; Django when admin-heavy data management is the core need.

Related industries

Financial Services

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Fintech apps, client portals, reporting, and secure transaction systems.

Healthcare

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Patient portals, intake workflows, and clinical operations software.

Logistics

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Tracking, routing, warehouse ops, and carrier integrations.

Related technologies

OpenAI / LLMs

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Large language model integrations for product features.

PostgreSQL

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Reliable relational database for transactional and analytical workloads.

AWS

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Amazon Web Services cloud infrastructure and managed services.

Related case studies

FinTrack

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Finance dashboard and internal reporting system — turning scattered spreadsheets into clear, current metrics.

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