Who We are
KEKOVA was founded by Erkan Taş, a product leader who has built foundational platforms and high-performing teams in Physical AI — spanning multimodal data and ML platforms, world models, simulation, robotics, foundation models, end-to-end autonomy systems, and real-world Physical AI deployment.
At Google/Waymo, he led a simulation platform, shaped the roadmap for Sim Realism, and established evaluation frameworks for autonomous trucks. At Uber ATG/Aurora, he launched robotics ML platforms, advanced perception systems, and large-scale synthetic-data pipelines to accelerate autonomy development for self-driving vehicles. At AWS, he drove SageMaker ML platform development and industry-wide AI adoption, initiating partnerships with the open-source Jupyter community and enterprises including NASA JPL.
He holds a Master of Data Science from UC Berkeley, with a focus on artificial intelligence, and an MBA from the University of Washington, where he received the Dean’s Merit Fellowship.
Erkan’s expertise is in accelerating the real-world adoption of Physical AI by translating advances in AI and simulation research into cohesive, scalable, developer-first platforms — enabling simulation-driven development, robust model evaluation, and reliable deployment of AI systems operating in the physical world.
KEKOVA brings that experience to maritime infrastructure — one of the most important physical systems in the world, and one of the least served by modern Physical AI.
Our Reach
Based in the San Francisco Bay Area, Serving Ports Across the Globe.
One System, Four Layers
Let's Get to Work
