Riyadh, we loved building with you! Agents in the AM was packed with smart people, big ideas, and a lot of ‘wow, this is where AI is headed!’ moments. Next up: Agents in the AM is heading back to the US. See where we’ll be next 🤠 https://bit.ly/41LLkud
About us
DataRobot delivers the industry-leading AI applications and platform that maximize impact and minimize risk for your business.
- Website
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https://www.datarobot.com
External link for DataRobot
- Industry
- Software Development
- Company size
- 501-1,000 employees
- Headquarters
- Boston, Massachusetts
- Type
- Privately Held
- Specialties
- AI Experimentation, Generative AI, Secure, flexible deployment , End-to-end AI platform, Enterprise ready governance , Prebuilt customizable agents, Code first tooling, Accelerated time-to-value, Integrated MLOps, Agentic tracing, Explainable AI (XAI), Rapid model development, AI lifecycle management, Automated guardrails, Actionable insights, Times series analysis, Model agnostic development, Cloud agnostic deployment , Data science, and Accelerated agent development
Products
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DataRobot
Data Science & Machine Learning Platforms
DataRobot delivers the industry-leading AI applications and platform that maximize impact and minimize risk for your business. Learn more at datarobot.com.
Locations
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Primary
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225 Franklin St
Floor 13
Boston, Massachusetts 02110, US
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140 New Montgomery St
San Francisco, California 94105, US
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Kyiv, UA
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London, GB
Employees at DataRobot
Updates
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What makes hyperscalers’ AI offerings so challenging for enterprises? Welcome to the CEO Corner | Week 2 🤖 This week, Debanjan Saha explains the friction points that enterprises hit—from stitching together tools to a need for flexibility—and what it actually takes to make AI work at scale. Follow along every Wednesday for sharp, actionable insights you can put to work 💡
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Agents in the AM: Dubai is in the books! We brought together innovators, execs, and AI practitioners shaping the future of agentic AI systems. Next stop? Riyadh. Let’s keep building. https://bit.ly/41EoVim
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ICYMI: Our own Manish Harsh, SVP of GTM for the Agent Workforce Platform, spoke to AI leaders last week about the foundational infrastructure shifts that make modern, large-scale AI systems possible—from advances in compute architectures to the rise of distributed, containerized workloads.
Cyber/AI/Infra Investor | Exited Founder | Tech Builder/Advisor (x-Corp Dev, x-M&A, x-Hatch) Operator turned VC working around founder hours and at founder pace
Earlier this week, I was honored to co-host our AI x Infra Innovation Salon alongside Amazon Web Services (AWS), Race Capital, DCG, and SafenAI. The evening brought together leading experts, researchers, founders, and investors in #AIInfrastructure for a series of insightful conversations on the most pressing challenges shaping today’s rapidly evolving landscape. The discussions explored how organizations can build secure, scalable, and high-performance AI systems while navigating the complexities of modern Agentic architectures. 🔍 Panel 1 — The Future of AI/Agent Observability and Performance deep dived into how emerging observability frameworks and performance-monitoring tools are reshaping data curation and reliability for next-generation AI agents. 🧠 Panel 2 — Harmonizing Real-Time Data and Vector Search for Multimodal Understanding at Scale examined how real-time pipelines and vector search infrastructure can be integrated to power rich multimodal reasoning across text, vision, audio, and beyond. ⚙️ Panel 3 — Navigating Modern AI Infrastructure and the Role of AgentOps in Future Deployment highlighted the operational challenges of deploying increasingly autonomous systems, and how AgentOps frameworks can streamline monitoring, governance, and lifecycle management. Many thanks to our panelists for sharing your amazing insights (in panel sequence and alphabetic order): Andi Partovi, Cofounder of Veris AI Jean Malha, Senior Solution Architect of Bedrock at Amazon Web Services (AWS) Nnamdi Iregbulem, Partner at Lightspeed Soumya Mohan, Head of Product at Galileo 🐯 Ajay Kulkarni, Cofounder of Tiger Data (creators of TimescaleDB) Charles Xie, Founder of Milvus, created by Zilliz Madison Faulkner, Partner at New Enterprise Associates (NEA) Xiaodong Wang, Co-founder of Single Origin Eli Aleyner, Head of Tech Alliance at Docker, Inc Manish Harsh, SVP of GTM, Agentic AI Platform at DataRobot Rong Cao, ex-SVP Technology at Socure Wei Li, Adjunct Professor at Stanford University A heartfelt thank you to our moderators, co-hosts, and team members whose efforts made this event a success: Alim Giga, Mohak Saxena, Wilson Lin, Faisal Farooq, Jojo Ye, MBA, Wickey Wang, CISA, Six Sigma Green Belt, Bei Qin, Stephanie Phen and Tong（Amanda） Liu What's next? Calling all AI researchers! We’re hosting an AI Leader × Scholar Luncheon on December 4th in San Diego, just outside the #NeurIPS conference. Join AI Infra researchers, founders, and industry leaders for an engaging discussion on topics including: - Model efficiency and alternative architectures - Benchmarking and post-training performance - Scaling challenges in multi-agent systems - Domain-specific models and data management - Open vs. closed AI ecosystems #MemoryAugmentedAgents #AgentBench #AgentOrchestration #AutonomousAgents #MultimodalAI #MultimodalAI #MultimodalReasoning #CrossModalLearning #ReinforcementLearning #ModelCompression #SparseTraining #LLMQuantization #MixtureOfExperts
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Sunday recap edition ☕️🔥 Big launches. Global momentum. Let’s get into it 👇 Riyadh, Let’s Build. Agents in the AM touches down Nov 27 — and we’re bringing the frameworks, the hands-on labs, and the real talk about getting agents into production. Pilot Purgatory? Not Anymore. Our new blog broke down how to actually scale an agent workforce—governance, orchestration, monitoring, security, the whole thing. If you’re serious about agents, this is your blueprint. CEO Corner = Required Watching Our CEO dropped Week 1 of his new series, and it’s straight to the point: the three ingredients teams need to escape “POC forever” and get to production. New drops every Wednesday. London Showed Up. Sharp questions. Real use cases. Our first global Agents in the AM event brought together leaders in the UK to build the future of AI. Next stops: Dubai → Riyadh → the world → https://bit.ly/41LLkud Onward → https://bit.ly/41LLkud
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Most AI agents never make it past pilots. The new DataRobot Agent Workforce Platform, built with NVIDIA, gives you everything to: ➡️ Build enterprise-ready agents ➡️ Deploy them anywhere—cloud, on-prem, or hybrid ➡️ Govern them with full monitoring and compliance See how to scale an AI workforce with confidence: https://bit.ly/4oGsuhi
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That’s a wrap, London! 🎉 Incredible energy from the UK AI community as we explored how enterprises are moving from pilot to production with agentic AI. Onward to Dubai and Riyadh ➡️ https://bit.ly/41LLkud
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Why do some AI projects take off while others stall? Welcome to the CEO Corner | Week 1🤖 Our CEO Debanjan Saha breaks down the three essentials that help teams move from pilot to production. Follow along every Wednesday for sharp, actionable insights you can put to work 💡
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Ready to move beyond pilots and build a real-production agent workforce? Our latest blog unpacks how to make it happen, and why so many companies stall at “proof-of-concept” instead of scaling. Key takeaways your C-suite and teams should see: 1️⃣ An “agent workforce” isn’t a demo or a chatbot. They're digital coworkers that reason, adapt, and execute across multi-step business processes. 2️⃣ Scaling to hundreds or thousands of agents isn’t just build-more-bots. It’s building an infrastructure: governance, orchestration, monitoring, and security built from day one. 3️⃣ To go from pilot to production, you need executive sponsorship, agent-first architecture from the start, and trusted platforms that manage agent lifecycle. If you’re in the business of making AI agents work (not just exist): this is your playbook. 👉 Read the full blog and equip your team: https://bit.ly/441dylC
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Riyadh — are you ready to build the future of agentic AI? Agents in the AM is landing in Riyadh on November 27. We're bringing practical frameworks, hands-on learning, and real-world examples of agentic AI in action. What’s ahead: For CIOs: Proven approaches to move from pilot to production and scale AI impact across the enterprise. For Developers: A hands-on lab with NVIDIA and DataRobot to build secure, scalable AI agents ready for deployment. Reserve your spot → https://bit.ly/41EoVim