Rad AI

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.

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.

At Skild AI, we're building the world's first foundation model for robotics - a universal robot brain that can control arms, humanoids, and quadrupeds alike. Founded in 2023 by Carnegie Mellon professors Deepak Pathak and Abhinav Gupta, our team combines deep academic research with a relentless drive to bring physically-grounded intelligence to the real world. We believe in tackling robotics' hardest problems through massive simulation and cutting-edge machine learning, creating systems that learn from observation and adapt instantly to new bodies and environments. We work at the intersection of robotics, computer vision, and deep learning, attracting engineers and researchers who want to see their algorithms operate in the physical world, not just on servers. Our team values technical excellence, collaborative problem-solving, and the ambition to build what OpenAI has done for digital intelligence - but for robots. Backed by $300M in Series A funding and partners including NVIDIA and Amazon, we're moving fast to create the omni-bodied intelligence that will transform industries from manufacturing to logistics.

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.

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.