BonsAPPs, an organization looking to foster the next generation of great AIaaS companies, has announced ten winners that will be progressing to stage two of its program.
In September 2021 the organization began its first open call for AI talents in order to develop novel AI solutions and solve industry challenges by applying the tools and services available on the Bonseyes Marketplace.
In its first stage, a pool of 30 researchers, post-doctorates, developers and data scientists were selected to solve a specific industrial AI challenge using the tools provided by BonsAPPs and received €28,000 for their participation.
At a hackathon event in Bologna, the 30 talents presented their solution with the best ten being selected to progress to Stage two and also receive an additional €42,000 in equity-free funding.
On top of the funding received, the 10 talents below will be provided guidance across seven key milestones across a five month period, which will prepare them for project success, solving challenges as they arise and improving upon their current and potential future AI solutions.
“The ten finalists we’ve chosen to accelerate through the first round of this year’s open call represent entities seeking to solve the biggest challenges facing their industries through AI implementation and novel machine learning processes,” said Jesús Tapia, Head of ISDI Accelerator.
The ten winners moving to Stage Two
CHEIRONOM, led by a team of 4 AI Talents from Greece in the quest to improve upon gesture recognition as a safety feature in the Automotive industry.
AUTO-MNET is striving to build MocapNETs (a high performance 2D to 3D single person pose estimator) for improved bodypart tracking in automotive applications, led by a team from Greece’s Foundation for Research and Tech. – Hellas (FORTH).
gAIze, an AI-enabled GAZE detection for lightweight driver monitoring systems that will allow AI systems in cars to know which on-screen element a person is looking at, led by Austrian-based VIRTUAL VEHICLE Research GmbH.
EENAKWS, an energy-efficient, noise-aware keyword spotting initiative for the robotics industry led by Zürich-based D-ITET Center for Project-Based Learning.
AWoid, a project led by Italy’s Elif Lab srl that will solve challenges related to Context-Aware Artificial Intelligence for Collision Avoidance in the robotics industry.
3Dlocator, by Spanish company LOGICMELT TECHNOLOGIES SL will develop novel solutions for object location in 3D space and other object detection challenges in the Manufacturing industry through the use of depth estimation networks.
MNE_OQC is led by 5 AI Talents from Montenegro and will seek to tackle high-speed defect detection in the Manufacturing industry using deep learning. methodologies.
Artificial, led by Artificialy SA from Switzerland, will attempt to solve the remote vital signs challenge in the Health Industry.
PULSE, led by THINGENIOUS PC from Greece, this project will deal with heart rate detection and estimation in the Health industry via PPG and IMU signal fusion for heart rate estimation.
SensoBody, a project led by Portuguese-based SENSOMATT Lda. that will seek to come up with novel ways to create 3D body detection methods through 2D images.
