Field AI

In April 2023, three visionary researchers from Google DeepMind and Meta came together with a shared realization: the AI landscape was dominated by opaque, closed systems that limited access to cutting-edge technology. Arthur Mensch, Guillaume Lample, and Timothée Lacroix, united by their academic roots at École Polytechnique, envisioned a different path—one where frontier AI would be open, accessible, and transparent to all. They founded Mistral AI to challenge the status quo of 'big AI' and democratize access to the most significant technology of our time. From this founding insight, Mistral AI has evolved into a pioneering force in the generative AI revolution, releasing state-of-the-art open-weight models that rival proprietary solutions. The company believes that community-backed model development is the surest path to fight censorship and bias in AI technology. By training their own models and releasing them openly, they're building a credible alternative to the emerging AI oligopoly, empowering developers, enterprises, and institutions worldwide to build with and benefit from frontier AI while maintaining full control over their data and applications.

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 Field, we are driven by the urgent mission to accelerate the renewable energy infrastructure needed to reach net zero. Our team is building a vertically integrated business that develops, constructs, and operates grid-scale battery storage projects across the UK and Europe. We believe in taking full ownership of our projects - from initial development through to long-term operation - rather than flipping them like some developers. This approach means our team works collaboratively across the entire project lifecycle, from sourcing sites and engaging landowners to managing construction and optimising asset performance through our in-house technology platform. We operate as a pragmatic, fast-moving organisation that tackles complex challenges head-on. Our in-house development and trading teams work side-by-side to move quickly into new markets and maximise returns. We have specialists across grid connections, land legals, and planning permissions who value accuracy and speed in decision-making. We are expanding rapidly, having already launched offices in Italy and Germany, and we look for people determined to make the renewable transition happen through practical, hands-on work.

We are Shield AI, a US based defense technology company founded in 2015 to protect service members and civilians with intelligent systems. We design and deploy autonomous mission systems for aircraft and unmanned platforms, built around our Hivemind autonomy backbone and a family of mission ready software and hardware modules. Our products include X-BAT and V-BAT aircraft, Hivemind Enterprise, ViDAR and other capabilities built to operate in GPS and comms denied environments. We develop EdgeOS, Pilot, Forge and Commander to enable rapid development, testing and deployment of resilient autonomy across domains. Our approach is aircraft agnostic, battle tested, and focused on human directable autonomy that can scale across platforms and theaters of operation. Our team emphasizes servant leadership and a mission first mindset. Since founding we have grown to over a thousand teammates with offices across the United States and internationally, and we continue to invest in building safe reliable autonomy for the modern battlefield. We collaborate with allies to advance AI pilots powering a safer world, aiming to reduce risk to service members while enhancing decision making and effectiveness in complex environments. Autonomy for the world remains our guiding vision and the greatest victory, we believe, requires no war.

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.

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.