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Understand.ai provides image annotation for autonomous driving, satellite imagery and medicine. The Company's services include semantic segmentation, bounding box annotation and other types of image annotations.

HQKarlsruhe, DE

Latest Updates

Employees (est.) (Jun 2021)45
Cybersecurity ratingBMore

Key People/Management at Understand.ai

Mark Mengler

Mark Mengler

Co-Founder & CEO
Philip Kessler

Philip Kessler

Co-Founder & CTO
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Understand.ai Office Locations

Understand.ai has offices in Karlsruhe, Berlin, San Francisco and San Jose
Karlsruhe, DE (HQ)
71 Hirschstraße
Berlin, DE
76 Rheinsberger Str.
Karlsruhe, DE
An der RaumFabrik 34
San Francisco, CA, US
Market Square, 1355 Market St, San Francisco
San Jose, CA, US
2540 N 1st St #201
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Understand.ai Financials and Metrics

Summary Metrics

Founding Date


Understand.ai total Funding

$2.8 m

Understand.ai latest funding size

$2.8 m

Time since last funding

3 years ago

Understand.ai investors

Understand.ai's latest funding round in January 2018 was reported to be $2.8 m. In total, Understand.ai has raised $2.8 m
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Understand.ai Cybersecurity Score

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Understand.ai Online and Social Media Presence

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Understand.ai Blogs

Semantic Segmentation, a Misunderstood Data Annotation Type

8 minutes readWe all strive towards what is considered ‘the best’. We want to provide the best service to our clients, to have the best product, the best team and the best software. In the case of Deep Learning solutions for computer vision, the best software often means the most accurate model, one…

Augmenting Real-world Road Scenarios

5 minutes readWhat does data augmentation mean in autonomous driving?Data augmentation in autonomous driving simulation, also called scenario fuzzing or scenario variation, is a method that creates small variations of the input data in a simulated environment. To cope with the infinite possibilities…

Large Scale Annotation for the Future of Autonomous Driving

7 minutes readWith more AD/ ADAS platforms, sensors and self-driving algorithms trying to make it onto the market, the future of autonomous driving is being decided in large AI training and validation projects. To develop and test a self-driving AI requires more data, more engineering and more deman…

A Feast of Sensor Data: Feeding Self-driving Algorithms

10 minutes readTraining the algorithms of AI-based systems for autonomous or highly automated driving requires enormous volumes of data to be captured and processed. The algorithms must be able to master numerous challenges so that self-driving cars can detect all essential details of their environm…

Teaching a self-driving AI to see, analyze and act. A case study.

Highly automated and autonomous driving places enormous pressure on the safety and reliability of its technology. Flawed reference data… Continue reading on Let's Talk Mobility »

Real-world Scenarios — in Comparison with Object-list-based Scenarios

Real-world Scenarios — in Comparison with Object-list-based ScenariosReal-world Scenarios close the precision gap between real-world and simulationWhat we discussed so far…. In our last blog post, we described why and how we generate real-world scenarios from measurement data at large scale for test…
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Understand.ai Frequently Asked Questions

  • When was Understand.ai founded?

    Understand.ai was founded in 2016.

  • Who are Understand.ai key executives?

    Understand.ai's key executives are Mark Mengler and Philip Kessler.

  • How many employees does Understand.ai have?

    Understand.ai has 45 employees.

  • Who are Understand.ai competitors?

    Competitors of Understand.ai include Scale AI, Boeing Australia and NGC Aerospace.

  • Where is Understand.ai headquarters?

    Understand.ai headquarters is located at 71 Hirschstraße, Karlsruhe.

  • Where are Understand.ai offices?

    Understand.ai has offices in Karlsruhe, Berlin, San Francisco and San Jose.

  • How many offices does Understand.ai have?

    Understand.ai has 5 offices.