Enterprise agents are moving fast, but there’s a challenge most teams aren’t thinking about: the infrastructure to scale them reliably. 💡 In today's episode of Human in the Loop, we’re breaking down what it takes to deploy enterprise agents that actually deliver. Watch the full video: bit.ly/48EYoWB
Scale AI
Software Development
San Francisco, California 300,873 followers
Making AI work since 2016
About us
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. We provide the high-quality data and full-stack technologies that power the world’s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. The Scale Generative AI Platform allows customers to build, evaluate, and control advanced AI agents and applications that continuously improve. The Scale Data Engine provides the technology to collect, curate, and annotate high-quality datasets. Through our Safety, Evaluations, and Alignment Lab (SEAL), we test models with rigorous benchmarks and novel research to ensure breakthroughs translate into systems people can trust. Scale powers the most advanced LLMs and generative models in the world through RLHF, data generation and model evaluation. We work with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.
- Website
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https://scale.com
External link for Scale AI
- Industry
- Software Development
- Company size
- 501-1,000 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
- Founded
- 2016
- Specialties
- Computer Vision, Data Annotation, Sensor Fusion, Machine Learning, Autonomous Driving, APIs, Ground Truth Data, Training Data, Deep Learning, Robotics, Drones, NLP, and Document Processing
Locations
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Primary
303 2nd St
South Tower, 5th FL
San Francisco, California 94107, US
Employees at Scale AI
Updates
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Scale AI reposted this
✨ Reflections on My First Month at Scale AI A month in, I’m more convinced than ever that realizing the full value of AI in the enterprise requires more than just great models — it demands a deep understanding of business needs and true partnership with customers. A few thoughts as I settle in as Head of Enterprise AI at @Scale AI after my first month: 💡 Enterprise AI value = deep understanding + real partnership Unlocking AI’s potential takes more than great models — it’s about deeply understanding enterprise needs and embedding AI into real workflows. I’ve been so impressed by our team’s hands-on engagement with every customer and their relentless drive to deliver impact. 🤝 Incredible teamwork & talent Working with such passionate, domain-savvy colleagues has been energizing. Every engagement feels like a masterclass in collaboration, learning, and innovation. 🚀 Culture of first principles & innovation As our CEO Jason Droege puts it, Scale’s culture is about thriving where innovation meets impact. The team’s commitment to solving complex problems — and thinking from first principles — is what truly sets Scale apart. 🌎 Driving real-world transformation through AI From data quality to evaluation to enterprise integration, Scale is helping organizations move beyond experimentation to actual business value — accelerating how AI shapes every industry. 🧠 We’re hiring! If you’re excited about building reliable, impactful AI systems, driving innovation, and pushing the boundaries of cutting-edge research, come join us. We have openings across levels for ML engineers and researchers. Read more about my journey and why I joined Scale AI: https://lnkd.in/g2Wz2JqX #AI #GenerativeAI #ScaleAI #Hiring #EnterpriseAI #Innovation
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📣 Unveiling our newest benchmark, VisualToolBench (VTB), the first benchmark designed to evaluate how well multimodal large language models can interact with and reason about visual information. VTB represents a shift from models that passively “think about images” to those that actively “think with images.” It treats visuals as a dynamic cognitive workspace, challenging models to crop, edit, and enhance images to uncover insights and solve complex, multi-step problems. See how models perform: bit.ly/42F0SR0
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The biggest impact of AI on national security isn’t drones, it’s in strengthening the human decisions that guide them. To trust AI in command and control systems, we need more than theoretical frameworks. It requires rigorous, continuous Test & Evaluation (T&E). At Scale, we believe the path forward involves: ✅ Domain-specific benchmarks over generic tests ✅ Adversarial AI Red Teaming to surface hidden biases and vulnerabilities ✅ Treating T&E as a continuous lifecycle, not a one-time check This is how we build trust in AI systems that inform the most critical national security decisions.
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Welcome to the Founder Factory 💪 Join Us: Scale.com/careers
The Scale AI mafia has raised more than $1.2 Billion in total funding. Born out of one of AI’s most important infrastructure companies, Scale alumni know how clean data powers billion-dollar models. Now they’re building their own companies and it's no surprise that investors are backing the people who’ve worked at the intersection of data labeling, infrastructure, and enterprise adoption. Using Crustdata (YC F24)’s People Search API and Funding API, we found the top 10 most funded ex-Scale employees turned founders: 1. Cognition: Co-founded by Steven Hao Funding Raised: $696M 2. Cobot: Founded by Brad Porter Funding Raised: $140M 3. David AI: Founded by Tomer C. and Ben Wiley Funding Raised: $80M 4. Secureframe: Founded by Shrav Mehta Funding Raised: $78.5M 5. Nooks: Co-founded by Dan Lee Funding Raised: $70M 6. Unify: Co-founded by Connor Heggie Funding Raised: $52.3M 7. Bee Maps (Powered by Hivemapper): Co-founded by Evan Moss Funding Raised: $32M 8. Ambrook: Co-founded by Jeff Anders Funding Raised: $29M 9. Enterpret: Co-founded by Varun Sharma Funding Raised: $25.1M 10. Netic: Founded by Melisa Tokmak Funding Raised: $20M 11. Isotopes AI: Founded by Arun C Murthy Funding Raised: $20M Did we miss out on anyone?
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Scale AI reposted this
Sat down with Lenny Rachitsky to talk about where AI is headed and how we’re making it work for model builders, enterprises and governments. Also went down memory lane about my time at Uber Eats. 🙂
In his first in-depth interview since taking over as Scale AI's CEO, Jason Droege shares: 🔸 What actually happened with Meta’s $14 billion investment 🔸 Where frontier labs are heading next 🔸 Why most enterprise data is useless for AI models 🔸 How exactly AI models get smarter 🔸 What he learned scaling Uber Eats from zero to $80B 🔸 How to think independently when building new products and businesses 🔸 Much more Listen now 👇 • YouTube: https://lnkd.in/ghVzCB8R • Spotify: https://lnkd.in/gfvkVb_J • Apple: https://lnkd.in/ggayZ3Ey Thank you to our wonderful sponsors for supporting the podcast: 🏆 Merge — The fastest way to ship 220+ integrations: http://merge.dev/lenny 🏆 Figma Make — A prompt-to-code tool for making ideas real: https://lnkd.in/ga7CZx9P 🏆 Mercury — The art of simplified finances: https://mercury.com/
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Welcome to Chain of Thought, exploring all things at the frontier of AI, from deep research to a behind-the-scenes look at how we build benchmarks that stump even the best models. In this conversation, we’re breaking down different types of agents and what’s next for them. Full conversation: bit.ly/3IAsEr2
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Scale AI reposted this
Incredibly proud that Scale AI has been named the St. Louis Business of the Year 🎉 My deepest thanks to Mayor Cara Spencer and the city for this tremendous honor. This award is a testament to the talent and dedication of our team here in St. Louis. As highlighted in Defense One last week, building a robust technology ecosystem in places like St. Louis isn't just good for business—it's a national security imperative. We believe that the future of AI and its role in keeping our nation safe is being built right here. This award validates that our mission-driven work and our commitment to the community go hand-in-hand. Thank you to our entire team and to the city of St. Louis for being such fantastic partners.
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AI adoption is everywhere, but value isn’t. MIT found 95% of AI pilots fail. Our CEO Jason Droege sat down with Clare Duffy at CNN to discuss how winning teams turn AI from a science experiment into a profit driver. Read more: bit.ly/3Wfudh4
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We hosted our first International AI Base Camp in the GCC region, one of the most exciting hubs for AI innovation. 🌍 The event brought together leaders who are shaping AI's future through strategic investments, large-scale implementation programs, and groundbreaking policy development. A huge thank you to our keynote speaker, The Rt Hon Theresa May, Prime Minister of the United Kingdom (2016-2019) and British Home Secretary (2010-2016), and to our partners Omantel and Amazon Web Services (AWS) for making this incredible gathering possible.
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