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ACCELERATE ML TEAMS

Empower your ML teams to deliver robust and performant AI models by
auto-diagnosing and improving your data and models.
Book a demo
Proud to work with leading organizations




Our Platform



LATTICEFLOW PLATFORM

The only platform that can auto-diagnose data and models, empowering ML teams
deliver robust and performant AI models faster.



Smart City
Medical

Manufacturing

Mobility

CASE STUDY


SMART CITY ANALYTICS


Univrses used LatticeFlow to create performant AI models within few days, by
auto-diagnosing the model and improving it with synthetic data, saving months of
manual work for data curation and labeling.

Learn moreBook a demo


<2 WEEKS


TIME TO ADAPT THE AI MODEL TO A NEW DOMAIN


Saving months of labeling and engineering effort per deployment.



10+


BLIND SPOTS FOUND 
AND FIXED


Observed in new deployments.



UP TO 3X


MAP IMPROVEMENT*


*On deployments in new domains.


CASE STUDY


MAJOR MEDICAL COMPANY

A major medical company used LatticeFlow to analyze its datasets and AI models,
discovering previously unknown blind spots and spurious correlations in a fully
secure on-premise deployment.
Learn moreBook a demo


10+

CRITICAL BLIND SPOTS FOUND AND FIXED

Discovered in state-of-the-art models deployed at hospitals.


<15 MIN

TIME TO DISCOVER FIRST ISSUES


Rapidly and interactively discover actionable insights into improving data and
models.


CASE STUDY


QUALITY INSPECTION


In the challenging task of automated defect detection with highly imbalanced
datasets, LatticeFlow auto-diagnosed & fixed inconsistent labels and doubled
model robustness.

Learn moreBook a demo


89%


PRECISION OF AUTO-DIAGNOSING AND FIXING INCONSISTENT LABELS


Applied to challenging datasets annotated by domain experts.



3 HOURS


FROM INSTALLATION TO CUSTOM DATA QUALITY RULES


Saving months of manual work.



+38%


ROBUSTNESS IMPROVEMENT


Without sacrificing any model accuracy.


CASE STUDY


SAFETY ASSESSMENT OF TRAFFIC SIGN DETECTORS


The German Federal Office for Information Security used LatticeFlow to assess
the safety and robustness of state-of-the-art traffic sign detectors.

Learn moreBook a demo


30+


ROBUSTNESS SPECIFICATIONS DEFINED


Covering camera noise, sign stickers, shadows, and others.



10+


UNKNOWN FAILURE MODES UNCOVERED


Confirmed with real-world images on which the model systematically fails.



70%


CERTIFIED ROBUSTNESS

While improving model accuracy by 0.2%.




Our Mission



ROBUST AND TRUSTWORTHY 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 robust and 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 and teaches the largest public course on Reliable and
Trustworthy AI.




#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.

OUR EXPERTISE



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 platform that
enables companies to deliver robust AI models that work reliably in the wild.




TOP RESEARCH

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

ENTREPRENEURSHIP

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




LEADERSHIP TEAM

We bring expertise from the world's best universities


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 holds a PhD from ETH Zurich, where he worked 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

Co-founder
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

Co-founder
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.

GREGORY BONAERT

Senior ML Engineer
MSc in AI, ETH Zurich. Created first verifier for Transformer networks.

ANKIT DHALL


Senior ML Engineer
MSc in AI, ETH Zurich. Prev. Microsoft, nuTonomy.


ROK SIKONJA


Machine Learning Engineer
MSc in AI, ETH Zurich. Prev. ABB, Hitachi.


MIHAIL YONCHEV

Front-end Engineer
BSc in CS, Edinburgh. Prev. VMware, JP Morgan.

IVAYLO TOSKOV

Senior Software Engineer
MSc in CS, ETH Zurich. Prev. Facebook, Layer AI, Leanplum.



YANNICK MERKLI


Machine Learning Engineer
MSc in AI, ETH Zurich. Thesis in adversarial ML.



ALEX VERMOLEN


Commercial lead

Scaled Hubs’ sales team to $12M ARR until $300M exit.


YUHUANG HU

Senior CV Engineer
PhD in Neuroscience, UZH. 15 papers published at top ML venues.


BIANCA BERGESSE LUCHINI

Business Development Representative
BSc in Marketing, Argentina. Prev. Marketing/PR manager, BDR.


VICTOR GALANTON


BDR Intern
MSc in Business, Sweden. Prev. Market Analyst, BDC.

GEORGI GARDEV


Lead Front-end Engineer

Prev. VMware, SE Lead at Leanplum, Hyperscience.

HRISTINA NEDYALKOVA

Solution Engineer
Prev. Senior ML QA Lead at Hyperscience.

FABIAN BOSSHARD

Machine Learning Engineer
MSc in Data Science, ETH Zurich. Theses in Blind Spot Guided Data Augmentation.


SIMON FOSSOM


UX/Design Lead
Prev. Senior Product Designer at Covantis, Harver.



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.

BENEDIKT KÖRLING

Benedikt is a partner at GFC, a billion-dollar venture fund with 16 offices
around the globe investing across all stages with a focus on early-stage
investments. Benedikt is heading GFC's Berlin office and invests in B2B SaaS,
DevTech and Gaming in DACH, CEE, and Benelux.


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.

SUNIR KAPOOR

Kapoor is executive and entrepreneur with global experience in technology
businesses. He is an Operating Partner at Atlantic Bridge Capital and is
involved in a number of technology companies in Silicon Valley and Europe.

EKATERINA ALMASQUE

Ekaterina is a General Partner at OpenOcean, a venture capital focusing on
enabling technologies for the data-driven future. Before joining OpenOcean, she
was a Managing Director of Samsung Catalyst Fund in Europe, Samsung’s
Electronics $500M venture capital multistage investment fund.


PEGAH EBRAHIMI

Pegah is a Co-Founder & Managing Partner of FPV Ventures. Previously she has
been operating as COO at Cisco and Morgan Stanley. She serves as an advisor to
edge cutting technology companies such as Snyk and Canva.
NEWS



PETAR TSANKOV TALKING ON SKY NEWS ABOUT LATTICEFLOW

"AI holds a lot of promise, and the industry is investing heavily to adopt the
technology. However, AI still has ...
Read More

LATTICEFLOW SECURES $12 MILLION TO ELIMINATE AI DATA AND MODEL BLIND SPOTS IN
COMPUTER VISION

The funding will accelerate development of the first scalable AI platform to
automatically diagnose and fix data and model issues ...
Read More

LATTICEFLOW DEMOS ITS ROBUST AI PLATFORM AT ECR 2022

Join us from July 13th until July 17th at the ECR 2022 in Vienna, the largest
annual conference in Europe ...
Read More


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