Encord offers tool to automatically detect-errors in training data
Encord has developed the first-ever tool to help address the growing problem of detecting human errors in data labelling.
Encord in the news
We've been featured in the press.
4 questions to ask before building a computer vision model
Computer vision projects often fail. In this post, Eric Landau discuss 4 important questions to ask before investing heavily in building machine learning to solve business problems.
Encord Named to the 2022 CB Insights AI 100 List of Most Innovative Artificial Intelligence Startups
We were admitted to the prestigious list of companies CB Insights has recognized as the most promising private artificial intelligence companies. The companies on last years list have raised $6 billion, including 20 mega-rounds worth more than $100 million.
CTO Talk: Eric Landau of Encord
What do people get wrong about AI and what are the biggest mistakes people make when it comes to big data?
Stop being precious about building data infrastructure tools
Most startup founders will agree that having a first-mover's advantage by reducing time to market is an essential part of their long-term success strategy.
Encord launches DICOM tool, providing 3D annotation for modalities such as CT, X-ray, and MRI.
The first truly native DICOM tool for machine learning annotation with full pixel intensity rendering capabilities - 20,000+ pixels compared to just 256 in a regular browser canvas, windows defined by Hounsfield units, coronal, axial, and sagittal views - and much more.
Encord raises $12.5M in fresh Series A funding
Encord continues record growth with its new micro-model approach, automating an archaic annotation process with $12.5M in new funding.
Encord raises $4.5M to automate computer vision annotation processes
Encord, a startup automating annotation processes for computer vision, today announced that it raised $4.5 million in a seed round led by CRV.
Entrepreneurs raises millions from Silicon Valley venture fund CRV (in Danish)
Iværksættere stiftede startup over en øl på den lokale pub – et år senere får de millioner fra Silicon Valley-venturefond
AI everywhere in endoscopy, not only for detection and characterization
Developing an AI model took an average of 1 year, the new annotation system compressed that time to 2 to 3 months.
Encord is accepted into Y Combinator (in Danish)
Dansker bliver del af verdensberømt iværksætter-program: Startup skal revolutionere kunstig intelligens