Success Stories

Berlin Brands Group is a D2C powerhouse with a strong focus on data, and they saw machine learning as a logical next step to generate even more valuable insight from their data. So they adopted Valohai to support their first machine learning initiatives and ensure that they could get to production quicker.

Utilizing machine learning for predictive maintenance is an area that holds great promise for many industries. KONUX has been a trailblazer in this domain, and they’ve been internationally recognized, including in CBInsight’s AI 100 in 2020 and 2021.

Sharper Shape uses computer vision models in advanced aerial sensor systems to power the automatic collection and analysis of unmanned aerial inspection data. They built a robust ML pipeline with Labelbox and Valohai.

Preligens builds cutting-edge software for intelligence analysts to monitor strategic sites. With 50 data scientists at the time of writing, they have one of the largest deep learning-focused teams in Europe. Valohai has helped them minimize time spent on managing infrastructure for model training.

Levity enables companies to automate workflows specific to their business, from recognizing objects in microscopic images to automatically categorizing incoming documents for different internal workflows.

Two Hat Security builds and sells a system for automatically detecting sexual abuse material in video material in darknet or other hard to reach parts of the internet.

With the promise of relieving strain on the transport network in maritime cities, Finnish software powerhouse Reaktor set to build a solution for future waterways. The Valohai platform empowered Reaktor to increase the speed of model development almost tenfold.

Jacques Marais used machine learning to scan Africa’s elephant population from aerial infrared and color images taken from a plane. The built models were trained first in 2015 with local GPU hardware in three weeks. When the models were retrained in 2017 with the Valohai platform the work was completed in three days while the detection accuracy increased from 56% up to 67% while the overdetection rate dropped dramatically.

Skillup develops machine learning models to build and maintain a marketplace for professional trainings.

Someturva is able to attract children and teenagers into seeking help for offenses in social media, classify the cases in crimes and non crimes and give sound advice as to how to proceed in such a situation.

CollectiveCrunch’s main product, Linda Forest, helps the forestry industry better understand and target the raw materials they are buying for optimizing the resource efficiency.

Nyris is developing a high-performance visual search engine that understands the content of an image. The visual search engine works as an easy-to-use API that companies can use to inject visual search as a part of their solution.

Selko's solution identifies and marks relevant sections from project documents for multi-disciplinary project teams working in large companies.

Get a fully mastered trackback within minutes with CloudBounce's machine learning powered solution. Learn how they are using Valohai.