Stop waiting on engineering. Build production-ready internal tools with AI—on your company data, in your cloud.
Retool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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MongoDB Atlas runs apps anywhere
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Hobby programming language for application development
Erlava is a hobby programming language focusing on building applications fast and easily while still intergrating with the JVM. Erlava aims to provide developers with a versatile and efficient tool for crafting high-quality software.
Unified Test and Logging layer for multiple programming languages
Modern software systems and application are commonly written in multiple languages, include scripting engines, and are frequently build on multiple specialized frameworks and middleware for a considerable diversity of runtime environments. The latest influencing update in development paradigm is the application of multicore processors. This projects is aimed to unify the required trace and logging output and integrate into debugging environments. The target is to provide general development,...
A Maven plugin for Erlang/OTP applications. This project is a rewrite of maven-erlang, by Paul Guyot and Olivier Sambourg with improved support for compilation, testing and release packaging as well as EDoc reporting and test coverage.
A plugin for Maven 2 (http://maven.apache.org) to manage Erlang projects : initial setup, build, unit tests, documentation, project web site, deployment, dependencies management, dynamic code loading on a remote erlang node, and more.
Access Google’s most capable multimodal models. Train, test, and deploy AI with 200+ foundation models on one platform.
Vertex AI gives developers access to Gemini 3—Google’s most advanced reasoning and coding model—plus 200+ foundation models including Claude, Llama, and Gemma. Build generative AI apps with Vertex AI Studio, customize with fine-tuning, and deploy to production with enterprise-grade MLOps. New customers get $300 in free credits.