Skild AI

At Rad AI, we believe the best healthcare AI is built by the very clinicians who use it every day. Founded in 2018 by Dr. Jeff Chang - the youngest radiologist in U.S. history - and serial entrepreneur Doktor Gurson, Rad AI grew from a simple observation: radiologists spend 75% of their time dictating reports instead of analyzing images. Our team of radiologists, engineers, and healthcare leaders work side-by-side to build solutions that feel less like software and more like an intelligent assistant designed by colleagues who understand the nuances of radiology workflow. We're not just shipping code - we're shipping relief. Our flagship products, Rad AI Impressions, Reporting, and Continuity, save radiologists over 60 minutes per shift by automatically generating impression sections customized to each physician's unique language style. The impact has been immediate: 84% of our users report reduced burnout, and we've helped health systems like Cone Health achieve 100% coverage for incidental findings while generating millions in additional revenue. With over $140M in funding from Khosla Ventures, Gradient Ventures, and World Innovation Lab, and recognition on Deloitte's Fast 500 and CNBC's Disruptor 50 list, we're scaling rapidly while staying true to our physician-led roots. Our engineers deploy to production daily, collaborate across functions with minimal bureaucracy, and maintain a remote-friendly culture optimized for focus, not facetime.

At Together AI, we believe software quality comes from research-driven innovation and genuine collaboration. Our engineers and researchers work side-by-side, contributing to open-source advancements like FlashAttention, Mamba, and RedPajama while building infrastructure that powers the next generation of AI. We optimize for impact over hierarchy - meaning you'll own substantial technical challenges from day one, whether it's designing distributed inference engines or pioneering new model architectures. We're committed to open and transparent AI systems because we believe the best outcomes for society emerge from shared knowledge. Our purpose-built GPU cloud platform empowers developers and organizations of all sizes to train, fine-tune, and deploy generative AI models without lock-in. We foster a culture of deep technical curiosity where tackling frontier problems in distributed systems, model optimization, and AI infrastructure is the norm - not the exception.

Phantom AI builds a comprehensive autonomous driving platform featuring computer vision, sensor fusion and control capabilities. Founded by engineers from Tesla and Hyundai, the company develops cost-effective Level 2/3 ADAS solutions designed to reduce the burden of everyday driving and make roads safer for everyone. The company's mission is to democratize advanced driver-assistance systems to reduce accidents, save lives, and make driving more enjoyable. Phantom AI's core products include PhantomVision™, a scalable deep learning-based computer vision solution that provides 360° perception; PhantomFusion™, a platform-independent sensor fusion system; and PhantomDrive™, a vehicle control solution for safe and natural movement. The company differentiates itself through state-of-the-art technological know-how combined with real automotive experience shipping ADAS systems at volume production scale. Phantom AI primarily serves Tier 1 automotive manufacturers focused on delivering Level 2/3 solutions today with a path toward full autonomy.

Sensi.AI is the world's first 24/7 Care Copilot, transforming home care through advanced audio AI technology that helps seniors age safely in place. The company's virtual care agent uses privacy-safe audio monitoring - not cameras - to detect emergencies, identify health changes, and provide actionable insights to care teams. With over 15 million interactions and 700,000 hours of audio training data, Sensi's sophisticated algorithms can identify falls, UTIs, cardiac events, mental distress, and early signs of dementia with remarkable accuracy. The system empowers home care agencies to reduce hospitalizations by 70%, increase revenue by 20%, and achieve 85% client satisfaction rates through proactive, data-driven care. Having raised $100M in total funding including a recent $45M Series C round led by Qumra Capital, Sensi.AI has rapidly scaled to become the trusted partner for over 80% of major U.S. home care networks. The company's three-part solution - unobtrusive in-home audio pods, verticalized AI models trained on clinician-labeled senior care data, and a real-time care copilot platform - enables agencies to deliver better care while improving operational efficiency. By bridging the critical gap between human caregivers and intelligent technology, Sensi is revolutionizing how an aging population receives support, ensuring dignity, independence, and peace of mind for millions of seniors and their families.

Lightning AI builds the first operating system for AI development. The company behind PyTorch Lightning provides an end-to-end platform that streamlines the entire machine learning workflow - from idea and prototyping to training, deployment, and production scaling. Lightning eliminates infrastructure complexity by providing cloud-based GPUs, collaborative development environments, and integrated tools that let developers focus on building intelligent systems rather than managing servers. The platform serves over 10,000 organizations globally, ranging from solo researchers to Fortune 500 enterprises. Through its merger with Voltage Park, Lightning combines developer-first software with cost-efficient, large-scale compute infrastructure. The company has raised $127 million from investors including Coatue, Index Ventures, Bain Capital Ventures, Firstminute, Cisco Investments, JP Morgan, K5 Global, and NVIDIA. Lightning operates globally with offices in New York, San Francisco, Seattle, and London.

FAR.AI exists to solve one of humanity's most urgent challenges: ensuring that advanced AI systems remain safe and beneficial as they become increasingly powerful. The rapid advancement of AI technology poses existential risks that require coordinated, technical solutions. FAR.AI conducts frontier alignment research to improve the safety and security of AI systems through technical breakthroughs in model evaluation, interpretability, robustness, and value alignment - addressing fundamental issues like jailbreaks, toxic outputs, and the black-box nature of modern models before they become unmanageable. Unlike many research organizations that focus on a single approach, FAR.AI pursues a diverse portfolio of high-potential research agendas that sit between individual academic projects and for-profit initiatives. Through FAR.Research, FAR.Labs (a Berkeley coworking space), and FAR.Futures (global events and policy initiatives), the organization fosters collaboration among researchers, policymakers, and industry leaders worldwide. Since July 2022, FAR.AI has produced over 40 influential academic papers at venues like NeurIPS, ICML, and ICLR, while driving practical change through red-teaming partnerships with frontier model developers and government AI safety institutes.