Encord in the news

As artificial intelligence becomes ubiquitous in business, non-tech companies need to learn how to use their data to gain a competitive edge. Companies that are trying to decide where and how to use AI should take four steps.

Bias in AI is arguably the biggest challenge for innovators: Ulrik Stig Hansen and Eric Landau co-founders of Encord, share their insights with Health Tech World.

Frost & Sullivan took a closer look at how artificial intelligence will impact radiology, and how companies like Encord are playing a vital role in this growth.

We have been included in a group of 23 startups in areas such as AI and quantum computing are attracting more capital as VCs eye up founders that can drive next-generation innovation.

How Encord strings a powerful cord between technology and healthcare professionals by using futuristic data-centric computer vision.

Game-changing innovation enabled by Encord data labeling was on show as the Royal Navy continues its commitment to deliver the latest technology to the frontline of operations.

Encord has developed the first-ever tool to help address the growing problem of detecting human errors in data labeling.

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.

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.

What do people get wrong about AI and what are the biggest mistakes people make when it comes to big data?

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.

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 continues record growth with its new micro-model approach, automating an archaic annotation process with $12.5M in new funding.

Encord, a startup automating annotation processes for computer vision, today announced that it raised $4.5 million in a seed round led by CRV.

Iværksættere stiftede startup over en øl på den lokale pub – et år senere får de millioner fra Silicon Valley-venturefond

Developing an AI model took an average of 1 year, the new annotation system compressed that time to 2 to 3 months.

Dansker bliver del af verdensberømt iværksætter-program: Startup skal revolutionere kunstig intelligens