Startups Directory

Scale AI is an AI infrastructure company providing data annotation, RLHF services, and LLM evaluation through a global workforce of 240K labelers. The company offers an API-first platform for collecting, curating, and annotating unstructured data—images, videos, documents, audio, LiDAR, and 3D point clouds—optimized for model training. Scale serves self-driving, robotics, and AI teams at major enterprises like Google, OpenAI, and Meta. The company's core differentiator is cost-effective human-in-the-loop labeling at scale, enabling continuous data pipelines and real-time model feedback loops.

Uniphore is an AI-native platform that enables enterprises to deploy agentic AI across business functions through a composable, secure infrastructure. The Business AI Cloud combines a unified data layer, autonomous small language model factory, governed model foundation, and workflow-based agent orchestration—designed specifically for large enterprises requiring production-grade AI with data governance and security. Uniphore powers over 750,000 end users across 1,600 enterprises in 20 countries, with customers including JPMorgan Chase, Verizon, DHL, and the U.S. Coast Guard.

Glean is an AI-powered enterprise search and workplace assistant that builds a knowledge graph of an organization's internal data, people, and interactions to generate highly personalized, permissions-aware answers. Unlike general-purpose AI tools, Glean understands company context and combines it with large language models to solve real business problems. The platform has evolved from enterprise search to a general-purpose work assistant with an agent platform for automating workplace tasks. It serves enterprise organizations looking to unlock knowledge trapped across dispersed data sources.

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.