Multithread effectively and personalize outreach to convert deals faster
Elevate social presence and drive business growth from social media
Identify and prioritize high-intent leads, and improve sales effectiveness
Find and connect with ICP attendees, and improve event outcomes
Lukas Biewald is a prominent entrepreneur and leader in the artificial intelligence and machine learning space. He is the co-founder and CEO of Weights & Biases, a company dedicated to building the best developer tools for machine learning practitioners. His work focuses on providing the essential infrastructure for ML engineers to track their experiments, version their data and models, and collaborate more effectively. Before Weights & Biases, Lukas was the founder and CEO of Figure Eight (formerly CrowdFlower), a pioneering human-in-the-loop AI platform that was instrumental in the development of the data labeling industry. He successfully led Figure Eight until its acquisition by Appen in 2019. An alumnus of Stanford University with degrees in Mathematics and Computer Science, Lukas is passionate about making advanced AI more accessible and practical for developers worldwide.
Lukas Biewald's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-founded and leads Weights & Biases, which has become a standard MLOps toolset for the AI community. The platform helps thousands of ML teams at companies like OpenAI, NVIDIA, and Toyota to track experiments and streamline their model development workflow.
Founded Figure Eight, one of the first and most successful platforms for data labeling and human-in-the-loop machine learning. He grew the company into an industry leader, culminating in its successful acquisition by Appen for $300 million in 2019.
Authored a practical, hands-on book that provides insights into building and debugging deep learning models, reflecting his commitment to educating and empowering developers in the AI space.
Through his work at Figure Eight, he was instrumental in popularizing and productizing the concept of using human intelligence to train and validate machine learning models at scale, a foundational component of modern AI development.
Stanford University - Year 2003
Stanford University - Year 1999
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Weights & Biases is a developer-first MLOps platform designed to help machine learning teams build better models faster. It provides a suite of tools for experiment tracking, data and model versioning, and hyperparameter optimization. The platform enhances collaboration and reproducibility, allowing users to visualize model performance, compare runs, and share insights seamlessly within their ML workflow.
Get verified emails, phone numbers, and LinkedIn profile details
Discover contacts with similar roles, seniority, or companies
Uncover insights like skills, work history, social links, and more
Explore contacts in-depth — from verified emails and phone numbers to LinkedIn activity, job changes, and more — all in one powerful view.
Highperformr AI helps you surface the right people and enrich your CRM with live, accurate contact insights so your teams can connect faster and close smarter.
Thousands of contacts — including decision-makers, influencers, and ICP matches — are just a search away.
Thousands of companies, including, are just a search away.