Altair is a global leader in computational intelligence that provides software and cloud solutions in simulation, high-performance computing (HPC), data analytics and AI. Altair enables organizations across all industries to compete more effectively and drive smarter decisions in an increasingly connected world – all while creating a greener, more sustainable future. Altair employees worldwide share a tremendous pride in the entrepreneurial spirit and corporate culture based on transparency, honesty, innovation, and integrity. This brings high value solutions for clients which integrate hardware, software, user experience and services.
Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering, and Business. Founded by the team who created Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA, and Battery Ventures, among others, have a global customer base that includes Salesforce, Viacom, Shell, and HP.
Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Agnostic by design, it integrates with all clouds, data platforms, AI services, and legacy systems to ensure full technology optionality — empowering customers to future-proof their AI initiatives. With built-in governance and no-, low-, and full-code capabilities, Dataiku enables the world’s largest companies to confidently build and manage differentiated AI that drives measurable business value.