Build and Deploy Trustworthy AI

We empower organizations to build and deploy robust AI they can understand and trust.
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Proud to work with leading companies and government agencies
US Army

Our Mission

Trustworthy and robust AI

Our mission is to change the way the next generation of AI systems are built. If we are to use AI in our businesses, at doctor’s offices, on our roads, or in our homes, we need to build AI systems that companies and users can trust.

AI leadership

We are building the foundations of Trustworthy AI. Our co-founder Prof. Krause is founding chairman of the ETH AI Center and co-directs the Swiss Data Science Center. Prof. Vechev’s group has built the world’s best verifier for deep neural networks.

Regulatory compliance

We contribute to AI ISO standards as invited members of the Swiss Association for Standardization (SNV).


Cutting-edge research applied in practice

We are leading AI professors and researchers from ETH Zurich with broad expertise in formal methods, symbolic reasoning, and machine learning. We started LatticeFlow with the goal of building the world’s first product that enables companies to deliver trustworthy AI models that work reliably in the wild.

Top research

We have published 50+ peer-reviewed publications in the area of trustworthy AI at top-tier venues in machine learning, programming languages and security, including ICML, NeurIPS, PLDI, POPL, and S&P.

#1 verifier for deep neural networks

Our robustness verifier achieved the highest score at VNN-COMP'20, the first competition for certifying neural networks, outperforming teams from MIT, Oxford, UIUC, and others.


We have experience in bringing research into production and have previously built two successful ETH spin-offs acquired by PwC and the unicorn Snyk.

Our Product

Platform for safe and robust AI

Building reliable artificial intelligence (AI) systems requires systematic methods for assessing their quality to gain confidence in their correctness and identify deficiencies that AI teams must address. At LatticeFlow, we help you by:
Model Assessment
  • systematically assess the model quality
  • gain confidence in model correctness
  • identify deficiencies and actionable insights
Data and Model Improvement
  • curate relevant data slices
  • advanced data augmentation
  • adapt models to new environments


Safe Deployment
  • detect and avoid unsafe predictions
  • ensure continuous improvement


We are working hard towards achieving our mission.
Be among the first to gain early access.
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Understanding and assessing the quality of machine learning systems

In the first post of this series, we discussed the underspecification challenge of state-of-the-art AI models and how they often ...
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Model assessment beyond samples in your dataset

Despite impressive progress over the last decade, current AI models can perform poorly and unpredictably when deployed in the real ...
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SBB adopts AI to improve railway maintenance

SBB adopts AI to improve railway maintenance

LatticeFlow collaborates with SBB, Siemens, and ETH to enable safe, efficient, and cost-effective AI-based railway maintenance Swiss Federal Railways (SBB) ...
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Core team

Petar Tsankov
Co-founder and CEO
Petar holds a PhD from ETH Zurich. Before LatticeFlow, he co-founded ChainSecurity which was acquired by PwC. He graduated from Georgia Tech with two research awards and was awarded by the President of Bulgaria for his achievements in computer science.
Pavol Bielik
Co-founder and CTO
Pavol was a PhD student at ETH Zurich working at the intersection of machine learning and programming languages. For his work, Pavol received a highly competitive Facebook Fellowship, as the only student from Europe, for 2017 and the Romberg Grant in 2016.
Martin Vechev
Martin Vechev
Martin is an Associate Professor at ETH Zurich. He holds a PhD from the University of Cambridge and was a research staff member at the IBM T.J. Watson Research Center. Previously, Martin co-founded two ETH spin-offs which were acquired by PwC and the unicorn Snyk.
Andreas Krause
Andreas Krause
Andreas is a Professor at ETH Zurich. He holds a PhD from CMU and was an Assistant Professor at Caltech. He is founding chairman of the ETH AI Center and co-directs the Swiss Data Science Center. He received Test of Time awards at ICML 2020 and KDD 2019.

Investors and advisors

Andreas Goeldi
Andreas is a partner at the btov Partners. Internet technologist, entrepreneur, investor with 25 years of experience. He co-founded and built successful startups in Europe/US, and now invests in AI/ML, devops, martech, and B2B SaaS.
Max Mayer
Max is an Investor with GFC since 2018. Having previously exited his own marketplace business, Max has 10 years of experience in technology & banking. At GFC, he primarily focuses on AI/ML, Fintech/Insurtech, B2B SaaS & Marketplaces in DACH & USA.
Boris Paskalev
Boris is a technologist and business entrepreneur who has co-founded and built successful companies in Europe/US. He was part of the disruptive growth and IPO of the unicorn Vistaprint, and in 2020 he exited his startup DeepCode to the unicorn Snyk.