Build pro-code solutions with Catalyst
Catalyst is a full-stack application development platform to build, test, host, deploy, and optimize your applications with complete privacy over the tech stack. Build interactive conversational NLP chatbots, ML-powered models, or RESTful APIs for mobile applications; perform extract, transform, and load (ETL) tasks while processing bulk data; and automate your tasks with a headless browser.
Why choose Catalyst?
- Pre-built
Microservices - Advanced AI
Operations as APIs - Unified console
- Transparent,
Uncomplicated Pricing - Decoupled
environments
Customer Spotlight: Stories of Full-Stack Development
“Catalyst proved to be a powerful serverless suite in helping us bridge the gap in existing, independent supply chain systems. By simplifying serverless, Catalyst delivers great customer experiences and focuses on the pillars of privacy and security. We were able to develop the integration using Catalyst in just a week, and deploy it in a day.”
Amanda Tighe, Project Manager
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“Catalyst gave us an edge by being able to build and host two powerful Marketplace extensions within a short span of time. Both solutions have proved to be reliable and seamless in performance so far. We’re also extremely happy with the tech support we’ve received from Catalyst team.”
Kavitha, CEO
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“With Catalyst, we were able to serve our customers better by getting new services to them faster. Building the microservice on Catalyst was easy! We never had to deal with infrastructure management. We just wrote a code and deployed it.”
Craig Mulcahy , CEO
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“Catalyst helped KDG save money that would have been spent on server management, security, and app execution by running the entire application on Catalyst. The cron-driven application hosted on Catalyst is absolutely seamless and we love the relational database feature, which strengthened our data management in the app.”
Kyle David, CEO
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“Our People Analytics team at Swiggy had been trying to build the "unhappy employee" prediction model using contemporary Python scripts and the like. However, the ML Ops was a big challenge we were facing while deploying these solutions. QuickML with its API capabilities helped us deploy the model overnight, and then use the production data back in our data mart for interventions.”
Daksh Sahni, People Analytics & Behavioral Sciences
