Gather AI

At Together AI, we believe software quality comes from research-driven innovation and genuine collaboration. Our engineers and researchers work side-by-side, contributing to open-source advancements like FlashAttention, Mamba, and RedPajama while building infrastructure that powers the next generation of AI. We optimize for impact over hierarchy - meaning you'll own substantial technical challenges from day one, whether it's designing distributed inference engines or pioneering new model architectures. We're committed to open and transparent AI systems because we believe the best outcomes for society emerge from shared knowledge. Our purpose-built GPU cloud platform empowers developers and organizations of all sizes to train, fine-tune, and deploy generative AI models without lock-in. We foster a culture of deep technical curiosity where tackling frontier problems in distributed systems, model optimization, and AI infrastructure is the norm - not the exception.

At AI Squared, we believe that AI transformation shouldn't require a complete infrastructure overhaul. Our platform was built on the conviction that artificial intelligence becomes truly powerful when it integrates seamlessly into the tools and workflows teams already use every day. We've seen too many organizations build brilliant models that never see the light of day because integration is too complex, too slow, or requires specialized skills that aren't readily available. That's why we created a low-code platform that lets teams connect AI insights directly into CRMs, ERPs, and business applications with one-click integrations. Our culture is defined by the same principles that guide our product: we bridge gaps between technical and business teams, between data science and practical impact. We value relentless execution and the kind of hands-on problem-solving that turns ambitious AI initiatives into measurable business results. Whether we're helping engineering teams deploy models 10x faster, enabling sales teams with AI-driven insights in their CRM, or supporting federal and enterprise customers with secure, compliant AI integration, we're driven by the belief that AI should multiply human potential - not add complexity to workflows. Founded in 2021 and headquartered in Washington D.C., we're backed by investors including NEA and Ansa Capital, and we're looking for passionate individuals who want to build the future of secure, intelligent AI integration.

At FieldAI, we bring together top-tier talent from NASA JPL, DeepMind, Tesla, and NVIDIA to build the future of embodied AI. Our team thrives on tackling the toughest challenges in unstructured environments, where we've developed first-of-its-kind AI and robot autonomy solutions that can navigate caves without satellite information or prior maps. We're a collaborative group of engineers, researchers, and field deployment experts who believe in shipping real-world robotic AI across the globe. Our culture emphasizes deep technical excellence combined with practical field application - we don't just write code, we deploy it to the most demanding industrial and defense environments. We're driven by a shared mission to enable unprecedented productivity, safety, and efficiency by bringing autonomy to challenging real-world conditions. Our physics-first approach means we value robustness and resilience in everything we build. Having grown from approximately 30 people at the end of 2024 to 130 team members in 2025, we maintain a collaborative environment where individual contributions have real impact. Whether developing Field Foundation Models or scaling our technology for government and defense applications through Field AI Federal, our team members tackle complex problems with creativity and determination.

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.

We empower visionary entrepreneurs to automate complex, repetitive processes and accelerate scalable growth through advanced AI automation. Beam AI is engineering intelligent AI agents that help forward-thinking organizations transition seamlessly from manual task execution to highly efficient agentic workflows. Our platform is built as an Agent Operating System where intelligence compounds through autonomous discovery. We work with enterprises to transform their operations from manual processes to fully AI-native systems. Our team of 50+ members operates globally across offices in Berlin, Abu Dhabi, New York, and Karachi, bringing diverse perspectives to solve real-world automation challenges. We focus on creating production-grade AI agents that deliver measurable results, not just demos.

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.