Built by a small team with a clear goal.
Altera Data Suite was created to solve a problem we kept running into — extracting structured data from PDFs shouldn't require hours of manual work or complex scripts. So we built a tool that does it in seconds.
Mehdi BEN RABIAA
CEO & Co-Founder
Mehdi built Altera to remove the friction from data extraction inside Orange Data Mining. With extensive experience in Python, JavaScript, and data-oriented solutions, he bridges the gap between deep technical knowledge and real-world data workflows. As CEO, he defines the product vision, steers the technical roadmap, and makes sure every feature is grounded in actual data professional needs — delivering fast, scalable, and purposeful tools.
Salah-Eddine EL MAGUERI
Co-Founder, Commercial & Marketing Director
Salah leads the company's commercial and marketing strategy. He is responsible for brand development, customer acquisition, lead generation, and strategic partnerships. His goal is to accelerate the company's growth and promote innovative document automation solutions to professionals.
Saumya Shah
Software Engineer
Saumya specializes in Rust, C, and TypeScript, with a sharp focus on software performance optimization. He architects the core engine behind Altera, ensuring every computation is fast, lean, and built to scale.
Raphaël Thomas
Frontend Engineer
Raphaël crafts the interfaces users interact with every day. Specializing in frontend engineering, he transforms designs into fast, responsive, and accessible web experiences. From component architecture to pixel-perfect implementation, he ensures Altera's UI is smooth, reliable, and consistent — bridging the gap between design intent and real user interaction.
Where the idea came from
We both came from consulting backgrounds — working with firms including Deloitte and PwC. One thing became clear fast: even at that level, nobody had built a proper all-in-one solution for extracting data from PDFs. Payslips, invoices, reports — everything was handled manually or with fragile one-off scripts. That gap was the starting point.
The first widget
We started with a single PDF converter widget. It worked — and immediately we saw what was missing next. Orange had strong analytical capabilities but left data cleaning and wrangling largely unaddressed. So we kept building. Each widget was a direct response to a friction point in real workflows.
Why Orange Data Mining?
We didn't want to build something that lives in isolation. Orange Data Mining already has a strong, established ecosystem — choosing it meant our users wouldn't have to change how they work. Altera plugs straight into what they already know and use.
Where we're headed
The suite is still growing. More widgets are in development, existing ones are actively maintained, and AI is becoming a core part of how Altera extracts, interprets, and structures data. This isn't a finished product — it's an evolving toolkit built to keep pace with how data work actually happens.
Ready to see it in action?
Watch the demo to see how Altera handles real PDFs, or explore the pricing to find the plan that fits.