Abnormal AI, Inc.

Wand AI exists to solve a fundamental gap in enterprise AI adoption: the disconnect between human teams and AI agents that keeps organizations from realizing their full potential. Companies invest billions in AI tools, yet outputs stall because agents and humans operate in separate lanes without shared infrastructure for collaboration, visibility, and governance. Wand provides the missing operating system that enables true hybrid workforces - where autonomous agents self-evolve, escalate issues to humans based on confidence levels, and scale from single tasks to entire divisions. This platform is not just another tool; it's the foundation for a generational leap in how the global economy operates. Wand's mission is to drive this transformation by integrating agent ecosystems into the core of work, business, and society. The company delivers a complete operating system for the hybrid workforce - combining agent control panels, collaboration platforms, process automation, and division automation into one unified platform. With features like self-evolving agents that benchmark their own performance and multi-agent orchestration that coordinates complex workflows, Wand enables enterprises to deploy AI with confidence, scale with control, and integrate seamlessly with trusted systems. Franklin Templeton and other major enterprises already deploy Wand's agentic workforce at scale, proving that the future of work is neither fully human nor fully artificial - it's powerfully hybrid.

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.

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.

In 1983, founder David Evans Shaw started IDEXX with just five employees in Portland, Maine, responding to a new niche market: the detection of diseases in livestock and poultry. What began as a focused diagnostic solution provider for the agricultural industry has evolved into something far more transformative - a global leader in pet healthcare innovation. The company recognized early on that veterinarians needed better tools to deliver optimal care, and this insight drove expansion beyond livestock testing into companion animal diagnostics, software, and comprehensive veterinary practice solutions. Today, IDEXX serves veterinarians worldwide with an integrated ecosystem that includes reference laboratories, in-house diagnostic analyzers like Catalyst One and ProCyte Dx, practice management software such as Cornerstone, Neo, and VetConnect PLUS, and educational resources through the IDEXX Learning Center. The company's roughly 11,000 employees across 80+ countries are united by a single mission: helping pets lead longer, fuller lives by giving veterinarians the clarity and answers they need. From pioneering SDMA testing for early kidney disease detection to developing digital cytology platforms that connect veterinarians with pathologists globally, IDEXX has consistently pushed the boundaries of what's possible in veterinary diagnostics, making advanced care accessible to practices of all sizes.

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.

In 2023, three founders with deep roots in engineering and logistics realized something profound: while AI was transforming consumer technology, the industries that move our physical world - supply chains, freight, logistics - remained stuck in manual, inefficient processes. Pablo Palafox, his brother Javier Palafox, and Luis Paarup saw that these real-economy businesses were drowning in repetitive communication tasks: endless phone calls to book loads, check shipments, and coordinate schedules. They understood the solution wasn't just better chatbots, but an AI-native operating system that could truly handle end-to-end work with human-like intelligence. So they built HappyRobot - an AI workforce platform that doesn't just augment human workers but autonomously manages complex operations across phone, email, messaging, and documents. Starting with logistics and industrial operations, HappyRobot has grown rapidly, deploying AI workers across over 150 enterprise customers including DHL and Ryder. With $62 million in funding from top-tier investors like Y Combinator and Andreessen Horowitz, the company is now expanding to redefine how the real economy operates, freeing humans to focus on strategy and creativity while AI handles the patterned work at scale.