Zurich-based LatticeFlow, a startup that claims to be the only artificial intelligence (AI) platform that can automatically find and fix AI data and model errors, announced that it has raised €12M in a Series A round of funding.
With this round, the startup has now raised a total of $14.8M in funding to date.
LatticeFlow says the funds will help expand the capabilities of its platform and respond to growing customer demand as more companies deploy computer vision models at scale.
The round was led by Atlantic Bridge and OpenOcean, with participation from FPV Ventures and existing investors btov Partners and Global Founders Capital.
Founded in 2020 by Petar Tsankov, Pavol Bielik, Martin Vechev, and Andreas Krause, LatticeFlow was built to automate the process of solving data quality and blind spot issues in computer vision AI models, critical to enabling model performance in the wild.
LatticeFlow claims it is “unique” in its ability to automatically identify and address issues with data quality at scale across datasets of millions of photos, including labeling mistakes, poor-quality samples, data biases, and others.
The platform also automates the identification of often impossible-to-identify blind spot scenarios and repairs them before real-world performance is harmed. LatticeFlow has created a novel, scalable technique for focused data augmentation in order to patch the model.
The company’s customers include a number of Fortune 500 companies such as Siemens Mobility, and AI scaleups such as Intenseye, Voxel AI, and Carscan.
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