Orkes builds the stack for running agents in production, enabling distributed systems at scale.

Oryo helps CISOs secure GenAI/Agentic AI. We enable enterprises to address AI tool misuse, privilege escalation, and AI supply chain risk, giving security teams the visibility and control to manage agent behavior and secure data access.

Osaurus is a native macOS AI platform. The core idea: inference is a commodity — everything else (context, memory, tools) should be owned by you, locally. Think of it as the runtime layer for AI on Mac that works with any provider (OpenAI, Anthropic, xAI, local models via MLX). Open source, local-first, provider-agnostic.

Oscar is the first health insurance company built around a full stack technology platform.

Oscilar is a first-of-its-kind real-time, AI-powered risk decisioning platform that brings real-time data, AI and decisioning together in a way that's never been done before to create the most advanced credit and fraud detection platform. Our AI Risk Decisioning technology enables companies to expediently and accurately assess the risk of every online transaction in a few milliseconds.

Oso is a developer-first authorization system that makes access control simple and scalable. Backed by Sequoia and Felicis with $26M raised, we're trusted by thousands of companies from startups to the Fortune 500. Join us at the inflection point as we lead the creation of a $25B+ market.

Otherling is a fashion e-commerce startup helping consumers discover emerging luxury brands.

Ours Privacy is building a HIPAA-compliant Customer Data Platform (CDP) and Consent Management Platform (CMP) designed for healthcare organizations. We help hospitals and digital health companies use analytics, consent, and personalization tools without compromising on privacy.

We're a venture-backed startup in Chicago exploring how AI can transform people's experiences. Although we’re still pre-market, we’re building products to help people see themselves in the world around them.

Outlier.ai is looking for software engineers, linguists, and writers to help shape the future of AI. Work on projects like improving AI models, labeling datasets, and fine-tuning large language models.