ai2io

In April 2024, a group of founders recognized a critical gap in modern defense capabilities: the urgent need for AI-driven autonomous systems that could keep pace with the speed and complexity of 21st-century warfare. Traditional defense contractors struggled to deliver attritable, scalable solutions that democratic allies required for operational dominance. From this insight, Harmattan AI was born - a next-generation defense prime dedicated to building the future of autonomous warfare. Starting from a conviction that liberal democracies and their allies deserve superior technological capabilities, the company rapidly developed vertically integrated systems including ISR drones, counter-UAS platforms, and electronic warfare solutions. With $200 million in Series B funding led by Dassault Aviation at a $1.4 billion valuation, Harmattan AI has transformed from a startup vision into a unicorn defense contractor delivering mission-ready systems that enhance operational edge and readiness for allied forces worldwide.

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.

Blackfluo.ai builds AI-driven recruitment infrastructure designed to replace keyword-matching systems with semantic candidate evaluation. Founded in 2024 and based in Switzerland, the platform operates as a layer between recruiters and talent pools - ingesting requirements, parsing candidate profiles at scale, and surfacing matches that traditional Boolean searches miss. The system has processed over 8 million candidate evaluations across 1,500 business partners in 22+ countries, running on AWS, Azure, and GCP infrastructure with NLP models handling the pattern recognition work. The technical threat model here is straightforward: legacy applicant tracking systems rely on literal keyword overlap, which fails when job requirements use domain-specific jargon or when qualified candidates describe their experience differently than recruiters search for it. Blackfluo's AI agent attempts to bridge that gap through semantic understanding - essentially building a translation layer between how skills are described and how they're searched. The platform handles candidate sourcing, evaluation, and administrative workflow automation, offloading manual research tasks so recruiters can focus on relationship management rather than database archaeology. The company runs a fully remote operation and claims three years of experience in AI recruitment technology despite its 2024 founding date, suggesting either prior stealth development or founders with background in the space. Stack includes ServiceNow integration alongside the major cloud providers, indicating enterprise deployment capabilities. No funding details are public, and the team size remains undisclosed - standard opacity for early-stage B2B infrastructure plays in the HR tech vertical.

We're a team of cybersecurity experts who've built an AI-native security operations platform because we saw firsthand how legacy MDR services fail to keep up with today's threats. Most of us came from the industry, so we know what it's like to be drowning in alerts, missing critical threats because of alert fatigue, and watching your budget disappear on manual investigations. That's why we developed TENEX to analyze 100% of alerts in under a minute, eliminate 98% of false positives, and give your team the freedom to focus on actual threats rather than noise. Our approach combines cutting-edge AI with seasoned human analysts who average over eight years of experience. We're not bolting AI onto old systems - we built our platform from the ground up to be AI-native. This means we can offer the speed and scale of automated detection without sacrificing the human judgment that enterprise security demands. We're backed by Andreessen Horowitz and Shield Capital, and we've partnered with Google Cloud Security and SentinelOne to deliver comprehensive protection. We believe the future of security operations is agentic AI working alongside skilled defenders, and we're building that future every day.

Qevlar AI is transforming cybersecurity with an AI SOC Platform that investigates every alert in under 3 minutes with 99.8% accuracy. Trusted by Fortune Global 500 enterprises and leading MSSPs including Orange Cyberdefense, Atos, Equans, and Nomios, our platform executes 71 automated queries per investigation to deliver comprehensive threat analysis. Backed by $14 million in seed funding from EQT Ventures and Forgepoint Capital, and incubated by Meta and Microsoft, Qevlar AI has achieved up to 80% reduction in false positives while enabling 100% of alerts to be processed with consistent 24/7 coverage. Our graph-based AI platform expands SOC capacity without adding headcount, investigating end-to-end threats from phishing and identity to cloud and endpoint attacks. Qevlar integrates seamlessly with existing security stacks including Splunk, QRadar, Microsoft Sentinel, SentinelOne, Cortex, and threat intelligence sources like VirusTotal. By reducing mean time to respond (MTTR) and eliminating alert fatigue, Qevlar empowers SOC teams to focus on real threats ready for remediation rather than noise. Our deployment record spans just 10 minutes to full production integration, making rapid security transformation possible for teams worldwide.

At Tempus AI, we're building a world where data and artificial intelligence transform how patients are treated. Founded in 2015 by Eric Lefkofsky after his wife's breast cancer diagnosis, we've grown from a small team with a singular mission into a company connecting 65% of Academic Medical Centers and 50%+ of US oncologists through our platform. Our engineers, data scientists, and healthcare experts work side-by-side to build technology that makes the world's largest library of clinical and molecular data actionable for physicians in real-time. We're not just building software - we're creating an ecosystem that accelerates discovery of novel targets, predicts treatment effectiveness, identifies potentially life-saving clinical trials, and enables earlier diagnoses. Our culture brings together experts, innovators, cancer survivors, biologists, and data scientists who believe that the right data at the right time can change a patient's path. We optimize for impact over facetime, collaboration over hierarchy, and relentless pursuit of better outcomes. Whether it's our AI-enabled assistant Tempus One, our Lens data platform, or our genomic sequencing assays, everything we build serves one goal: ensuring patients receive the right treatment at the right time to live longer, healthier lives.