About Lodol

We're building automation that works like a good coworker.

Good coworkers follow instructions, apply judgment, and learn from outcomes. We're building automation that does the same work reliably, transparently, and without the maintenance tax.

Deterministic where it counts

Predictable steps execute exactly as defined, every time.

Intelligent where it matters

Smart Actions apply judgment that improves with real data.

Resilient by default

Workflows stay reliable as data and requirements change.

Maintenance-free at scale

Automation that gets better over time, not harder to maintain.

Leadership

Meet the Founders

Ricky Grannis-Vu

Co-Founder & CEO

Ricky is a Stanford-trained AI expert and veteran in workflow automation. As a founding engineer at Orby AI, he built mission-critical automation systems for global enterprises. His earlier work with the U.S. Air Force Futures Command and research at UW sharpened his technical rigor and vision for practical AI.

Ricky founded Lodol to reimagine automation with structure, transparency, and trust. His deep expertise in intelligent systems and agent design drives Lodol's core architecture and commitment to reliability.

Kevin Duan

Co-Founder & President

Kevin brings a strategic lens to AI and automation. With experience spanning venture capital, product strategy, and startup growth, he has advised and invested in AI-first startups across stages.

With a background in Product Design from Stanford and deep experience working with family offices, he scales vision into execution. At Lodol, Kevin leads go-to-market, operations, and customer success, grounding innovation in real-world business impact.

The Team

Built by builders

Our team brings experience from world-class companies and institutions, blending technical rigor with startup execution.

Ryan Peng

Machine Learning Engineer

Ryan is a machine learning engineer at Lodol with an AI background from Stanford. At Abacus.AI, he led strategic AI pilots to deliver important product usability enhancements, while at Loxz Digital Group, he managed a data science team that significantly enhanced forecasting accuracy and integrated advanced analytics across business operations. At Lodol, Ryan leads the design of our AI engine that produces the intelligent actions behind our workflow automation.

Eric Zeng

Backend Engineer

Eric is a backend engineer at Lodol with an AI background from Stanford. Before Lodol, Eric worked on the AWS team at Amazon, developing software on ASICs used across the network. In this role, he built automated unit and integration test systems, hardware-dependent features for new hardware releases and optical cables, and alarming systems based on system and network performance metrics. At Lodol, Eric architects our workflow execution engine that delivers robust, efficient automation.

Nicholas Lee

Software Engineering Intern

Nicholas is a software engineering intern at Lodol with a software background from Yale. He has created hidden Markov model frameworks for quantum computing analysis at Yale's Quantum Institute and built data analytics tools for high-performance computing clusters at the Wu Tsai Institute. At Lodol, Nicholas develops core machine learning and user interface features for our workflow generation and document processing systems.

Ready to eliminate the maintenance tax?

Lodol is automation reimagined: deterministic where it counts, intelligent where it matters, and maintenance-free at scale. Whether you're streamlining operations or scaling a team, we help you automate with confidence.

Book a Demo See Open Roles