An AI model alone doesn’t solve a business problem – it needs a product around it. We design and build complete systems where the AI is just one carefully integrated piece. That includes requirements definition, UX/UI, backend architecture, APIs, management dashboards, user authentication, billing, roles/permissions and integrations with the tools you already use.
On the engineering side, we typically work with Python (FastAPI, Django, Flask) or Node.js/TypeScript (NestJS, Express) on the backend, React / Next.js or Vue on the frontend, and modern data stores like PostgreSQL, Redis, S3-compatible object storage and event systems like Kafka or RabbitMQ. For mobile, we support React Native, native iOS/Android or lightweight PWA approaches. AI components are containerized with Docker, orchestrated with Kubernetes or serverless platforms depending on scale and budget.
We design for deployment from day one: staging environments, CI/CD pipelines (GitHub Actions, GitLab CI), automated tests, logging and observability with tools like Prometheus, Grafana, Sentry and OpenTelemetry. Whether you host on AWS, GCP, Azure or EU-based providers, we build products that are maintainable, observable and ready to grow with your usage, not prototypes that fall apart after the first real users.