Sensi.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.

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.

Jerry is America's first and only AllCar™ app, fundamentally transforming how people own cars. Our team blends serial entrepreneurs, tech alumni, and insurtech/fintech experts who thrive on solving complex problems with elegant solutions. We ship features that matter fast - from PriceProtect™ that compares 50+ insurance carriers in seconds to GarageGuard™ that provides transparent repair estimates and DriveShield™ that rewards safe driving behaviors. Our engineers and product teams work in small, autonomous squads with real ownership. We leverage AI and machine learning at scale, having processed over 10 billion tokens through OpenAI to deliver instant quotes, automated customer service, and personalized recommendations. This technical depth lets us answer 90%+ of customer calls in under a minute while maintaining profitability. We've grown to 5 million customers by staying relentlessly focused on user experience and measurable outcomes. Jerry HQ is in Silicon Valley, with offices in Toronto and Buffalo, and remote team members across four countries. We move fast, take ownership, and celebrate the wins - from helping customers save $300 million on insurance premiums to achieving 68% year-over-year revenue growth.

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.

Aignostics is an AI-powered precision diagnostics and digital pathology company focused on transforming complex biomedical data into actionable insights for precision medicine. The company’s mission is to transform drug development and improve patient outcomes with AI that delivers novel insights for precision medicine. Aignostics operates as a spin-off from Charité Berlin, with cross-functional expertise spanning data science, machine learning, pathology, and biology, and it supports drug discovery, translational research, clinical trials, and CDx development through collaborations with biopharma partners. On its website, Aignostics describes access to pathology samples and multimodal data from over 30M patients at leading university hospitals and laboratories, and highlights its development of foundation models and application series for pathology workflows. Its offering includes products such as Foundation Models and the Atlas H&E-TME tumor microenvironment profiling application, as well as services spanning target & biomarker discovery, translational research, and digital diagnostics. The company also states it is ISO 13485 and 27001 certified and has a GCP-ready clinical trial platform.