MLReef builds a platform to collaboratively develop machine learning models with several stakeholders, and bring them faster into production.
Read MoreArtificial Intelligence
Kern AI: Shaping the Future of Data-Centric Machine Learning
Kern AI provides the tools to improve data quality, from fixing label errors to enriching data by metadata
Read MoreQDC.ai: Shaping the Future of Optimization
QDC.ai makes it easier to use optimization software involving a wide variety of optimization algorithms – even from quantum computing.
Read MoreCELUS: Shaping the Future of Automated Electronic Board Design
CELUS helps electronic engineers design new electronics by automating the schematics and PCB board design process using AI.
Read MoreEnvelope: Shaping the Future of Computer Vision for Retail
Envelope develops cutting-edge computer vision to extract essential information from images, videos, and camera streams
Read MoreTracebloc: Shaping the Future of Sourcing Machine Learning Models
Tracebloc builds a platform where enterprises can showcase challenges and source machine learning models to solve these.
Read MoreAlpha3D: Shaping the Future of 3D Models for Augmented Reality
Alpha3D uses machine learning to automate the entire process of creating 3D models of real-world objects, e.g., for augmented reality
Read Moredeepset: Shaping the Future of Natural Language Interfaces
deepset provides tools to develop natural language interfaces quickly and efficiently and created the open-source framework Haystack.
Read MoreNeurolabs: Shaping the Future of Image Recognition for Consumer Packaged Goods
Neurolabs uses synthetic images to update computer vision models within hours instead of weeks e.g for supermarket checkouts.
Read MoreEnot: Shaping the Future of Neural Network Compression and Acceleration
The Latvian startup Enot develops an AutoML framework for neural network compression and acceleration for the edge.
Read MoreNannyML: Shaping the Future of Model Supervision
NannyML detects silent model failures that happen post-deployment – estimating model performance before historical data is available.
Read MoreQdrant: Shaping the Future of Neural Search & Metric Learning
Qdrant: Shaping the Future of Neural Search & Metric Learning Have you ever used Google’s image search? Instead of searching for keywords, you upload an actual image, and the algorithm finds similar images – based on a machine learning algorithm called vector similarity search. It is one example algorithm for […]
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