Web Applications & SaaS Platforms
Your data deserves better than spreadsheets and dashboards.
Most companies have valuable data but struggle to make it accessible. Teams export CSVs, build fragile Excel macros, or wait weeks for IT to add a report. Decision-makers can't get the insights they need when they need them. Customers can't access data you could be monetizing.
Building a proper web application or SaaS platform solves this—but most teams get stuck choosing frameworks, designing databases, handling authentication, or making real-time updates work. By the time they ship, requirements have changed or competitors have moved faster.
How we build web applications
We build full-stack—database design, backend APIs, frontend interfaces, authentication, and deployment. You get a complete system, not disconnected pieces that don't talk to each other.
Modern stack, proven at scale: Svelte/SvelteKit for fast, reactive UIs. FastAPI for Python backends. PostgreSQL or DynamoDB depending on your data patterns. Supabase for authentication that just works. AWS for infrastructure that scales.
Data-first design: We don't bolt databases onto UIs. We design the data model first, then build interfaces that make complex data simple to use. Real-time dashboards that stay responsive under load. Forms that validate properly. Charts that actually communicate insights.
Built to scale: Multi-tenant from day one if you're building SaaS. Designed to handle 10x traffic without rewrites. Performance optimizations that matter—lazy loading, efficient queries, proper caching.
Practical cases
Challenge
Spanish energy market data (I90 files) was valuable but locked in Excel files. Energy companies, analysts, and traders needed real-time access to pricing data, historical trends, and AI-powered forecasting. Building individual solutions for each customer wasn't scalable. The market needed a SaaS platform that could serve multiple customers securely.
Solution
We built a complete SaaS platform from data ingestion to user interface. ETL pipelines process I90 files daily, transforming 30+ Excel sheets into a queryable database. The web application provides real-time market data, historical analysis, and AI-assisted forecasting through MCP servers. Supabase authentication ensures each customer only sees their authorized data. The frontend (Svelte) delivers fast, reactive charts and tables—even with millions of data points.
Outcome
What started as a custom project became a multi-customer SaaS product. The architecture handles growing customer counts without performance degradation. Energy analysts access real-time market data through clean, fast interfaces instead of wrestling with Excel. AI features plug in seamlessly because the API layer was designed for it. The same pattern now powers multiple products in the energy sector.
Who this is for
Companies wanting to build SaaS products from data assets
Teams needing custom data applications, not generic BI tools
Startups building data-driven web platforms
Enterprises replacing legacy systems with modern web apps
IoT companies needing real-time dashboards
Anyone with valuable data that deserves better than Excel
Ready to build a web application that scales?
Tell us about your data and users.