LatticeFlow, the only artificial intelligence(AI) platform that can automatically find and fix AI data and model errors, announced a $12 million Series A funding round. 

The investment will enable LatticeFlow to expand the capabilities of its platform and respond to growing customer demand as more companies – including a number of Fortune 500 customers including Siemens Mobility, and AI scaleups such as Intenseye, Voxel AI, and Carscan – deploy computer vision models at scale.

The investment in the award-winning ETH Zurich spin-off, bringing total funding to date to $14.8 million, was led by Atlantic Bridge and OpenOcean, with participation from FPV Ventures and existing investors btov Partners and Global Founders Capital. 

The potential addressable market for computer vision is sizable due to its rapid adoption rate from manufacturing, healthcare, retail, security, and safety industries that are digitizing processes to become more data-driven.

In the past few years, computer vision AI models have surpassed human-level performance across image classification, detection, and other tasks in the lab. 

However, models often fail to work as expected when deployed in production because real-world scenarios are far more complex and varied than lab training datasets. Because of this, 90% of all models don’t reach production, resulting in billions of losses.

“LatticeFlow is an enabling technology that empowers engineers and companies to deliver quality data and performant computer vision models that work in the real world,” said Petar Tsankov, Co-founder and CEO, LatticeFlow. 

“As data and models grow, delivering AI models that work in the wild becomes an unwinnable battle, so we built the first smart platform that empowers engineers to accomplish this task, addressing a major pain point.”