Technologies

Technologies

We cover the full product lifecycle: architecture, development, data and AI, security, and operations. Our goal is to choose the simplest robust solution for your context, with proven stacks, strong observability and security from the start.

Frontend, backend, data, AI, cloud and security stack
Back-end

Ruby on Rails first, plus Python (FastAPI/Django) and Node.js when the context calls for it. REST/GraphQL APIs, WebSockets, workers and queues.

Front-end

HTML/CSS/Tailwind, React/Next.js and TypeScript. Accessibility, performance and design-system discipline.

Data & AI

LLMs, embeddings, RAG, vector search, TTS/STT, vision pipelines and evaluation loops for production systems.

Databases

PostgreSQL first, Redis and search where useful. Modeling, migrations, indexing, retention and performance.

Cloud & DevOps

Docker, CI/CD, Heroku, AWS/GCP, Cloudflare, logs/metrics/traces and SRE practices tuned to the product stage.

Security

Hardening, secrets, IAM/RBAC, SSO, dependency audits, SAST/DAST, GDPR and operational evidence.

Frontend & backend foundations

We favor technologies that maximize delivered value while reducing unnecessary complexity. Ruby on Rails, Python and Node.js are our backend foundations: high productivity, mature ecosystems and strong tooling for testability and security. On the frontend, we aim for clarity: well‑structured HTML/CSS, Tailwind for implementation speed and visual consistency, and React/Next.js when interactivity or SSR/ISR is required. This technical sobriety lets us iterate quickly, keep code readable and hand off cleanly to in‑house teams.

Data & AI in production

For data and AI, we activate the right building blocks for each use case: LLMs (OpenAI) and embeddings for semantic search and assistants, text‑to‑speech/speech‑to‑text for voice, and TensorFlow/PyTorch for vision and deep learning. Productionization follows an MLOps framework: versioned pipelines, model metrics tracking, and guardrails for confidentiality and explainability. In medtech and fintech contexts we harden further: full traceability, business validations, strict environment separation and compliant retention policies.

Databases & Cloud/DevOps

Databases (primarily PostgreSQL and Redis) are engineered for robustness and scalability: careful modeling, indexing, controlled migrations and performance testing. On Cloud/DevOps, we rely on solid platforms (Heroku, AWS, GCP), reproducible CI/CD pipelines and full observability: correlated logs, metrics and traces for fast, accurate diagnosis. Deployments use progressive strategies (blue/green, canary) with clear rollback procedures.

Security & user experience

Security is pervasive: secret management, hardening, RBAC/SSO, dependency audits, SAST/DAST scans, backup policies and restore testing. We align choices with your requirements (including GDPR) and schedule regular reviews. Finally, we incorporate user‑experience constraints (accessibility, web performance, design systems) to ensure a high perceived quality on the web and on iOS/Android.

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