Phantom 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 Abnormal AI, we're an AI-native company from our founding in 2018, built on the belief that AI renders conventional cybersecurity obsolete. Our team combines experts from Google, Twitter, Amazon, Proofpoint, and FireEye, working alongside AI agents to protect humans from cybercrime everywhere they operate and interact. We operate with a 99% customer recommendation rate, serving over 3,000 organizations including 25% of the Fortune 500. We're committed to reimagining what's possible by applying AI across every business function - enabling our employees to become superhuman experts in their fields. Our culture emphasizes autonomous decision-making, with our platform making billions of business-critical decisions without human intervention. We believe AI should handle 90% of cybersecurity work, allowing humans to focus on strategy and innovation. We're building toward fully autonomous AI security operations, extending our Behavioral AI platform with agents capable of superhuman detection, response, and collaboration.

7AI is the first agentic security platform that harnesses the speed, swarming capabilities, and power of AI to finally give defenders the advantage over evolving threats. The 7AI Agentic Security Platform makes decisions and acts autonomously to achieve specific cybersecurity goals without human intervention, handling the full lifecycle of security operations from ingestion to response. Founded by world-renowned cybersecurity experts Lior Div and Yonatan Striem-Amit (co-founders of Cybereason), 7AI was established in 2024 to address a critical inflection point in cybersecurity. As GenAI enables attackers to move from low and slow to fast and furious - with nation-state level sophistication now available as commodity capabilities - defenders are struggling under alert fatigue and scarce resources. 7AI's solution puts swarming AI agents in the hands of defenders to offload non-human work, shift people up to strategic tasks, and achieve exponentially better security outcomes. The company has raised $130 million in Series A funding, the largest in cybersecurity history, and is backed by Greylock Partners, CRV, Spark Capital, and Index Ventures.

Fractional AI exists to solve one of the biggest bottlenecks in enterprise AI adoption: the talent gap. While every C-suite recognizes that AI could transform their business, most companies lack the elite engineering talent needed to build production-grade AI systems. Fractional AI bridges this divide by deploying world-class engineers who specialize in applied generative AI - turning experimental projects into measurable competitive advantages. They don't just advise; they build, shipping custom AI solutions that automate workflows, reduce costs, and unlock revenue streams that off-the-shelf tools can't touch. What makes Fractional AI different is their services-first model and obsession with engineering excellence. Rather than forcing companies into a one-size-fits-all product, they embed directly with client teams to solve their specific problems - whether that's automating content moderation for Change.org, building API connectors for Airbyte, or reducing LLM hallucinations by 80% for Zapier. Their San Francisco-based team of former founders, CTOs, and senior engineers brings cross-industry expertise that internal teams can't match. They see patterns across companies, stay on the bleeding edge of what actually works in production, and transfer that knowledge back to their clients. The mission is clear: inspire an elite team of engineers to solve the world's most valuable problems using AI, and make every company they work with 2-10x more productive in the process.

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.