Startups Directory

Dataiku is a centralized AI and data analytics platform that enables organizations to develop, deploy, and manage machine learning models and AI applications at scale. It serves enterprise teams across data science, analytics, and AI governance with tools for data preparation, model building, and responsible AI deployment. The platform bridges the gap between data experts and business users, providing a controlled environment for analytics and AI without requiring deep technical expertise. Customers like Unilever, Morgan Stanley, and J&J use it for use cases ranging from predictive maintenance to supply chain optimization.

Tomorrow.io is a weather intelligence platform that delivers hyperlocal, real-time forecasts and actionable atmospheric insights powered by proprietary satellite data, IoT networks, and AI models. The company serves enterprises across aviation, energy, logistics, and sports that need to mitigate weather-related operational risks and capitalize on opportunities. Tomorrow.io differentiates itself as a software-first company with its own weather models running at ultra-high resolution, rather than a traditional earth observation company selling raw data. The platform includes Gale, a generative AI assistant that synthesizes complex weather data into personalized recommendations.

ThoughtSpot is a cloud-based analytics and BI platform that enables business users to search, explore, and analyze large datasets in real-time without requiring technical expertise or IT assistance. The platform uses AI and machine learning to provide automated insights and recommendations, powering self-service data analysis across enterprise organizations. It serves both internal analytics use cases and customer-facing embedded analytics through separate product lines. ThoughtSpot has grown to 1,000+ customers including NVIDIA, Capital One, Hilton, and Unilever, with $4.2B valuation as of late 2021.

Domino Data Lab provides an enterprise MLOps platform that unifies data science teams, tools, and infrastructure to industrialize AI at scale. It replaces fragmented workflows with a seamless lifecycle management system—from data exploration through model deployment, monitoring, and governance. The platform serves highly regulated enterprises (20% of Fortune 100) with open-source tool support, automatic versioning, and flexible deployment options. What differentiates Domino is its focus on organizational discipline and reproducibility rather than individual data scientist productivity.