Apres is a startup using AI to create training
data for businesses
Apres recently announced the launch of its new
platform to train AI models using deep learning. Apres creates AI training
tools that learn from labeled data to help companies radically reduce the cost
of creating and maintaining AI applications. The Apres platform offers both
self-serve and managed labeling solutions -- giving companies a convenient way
to scale labeling on their terms.
Apres Dashboard |
With Apres, companies can leverage the labeled
data they already have -- created on or off the platform -- into high
performance AI training automations. These automations can be integrated into a
model to enrich low confidence results, through custom API endpoints, or used
to create labeled data on-demand. Users can improve their automations with
pretrained datasets on common machine learning themes in technology, business,
finance, marketing, and health, all within Apres’ own solutions library. The
library is accessible within the platform and custom API endpoints.
By adding active learning to the labeling
process, Apres helps companies more intelligently create training data and
collect insights. Apres then produces training reports with each batch to help
companies optimize their training process, giving them deeper control of model
quality.
Apres Co-founder/CEO Matt Waite |
“We want to make it easier for developers and
companies to build and maintain artificial intelligence applications. With both
deep learning technology and infrastructure becoming more accessible, training
and support become the core bottlenecks. By shifting from human to mechanical
support we hope to make developing intelligence more accessible and economical
for everyone,” said Matt
Waite, Co-founder and CEO.
In recent years AI has skyrocketed in
popularity. There was over $2 billion invested by companies in 2018
alone, and that number is expected to reach $32 billion by 2025. For most
companies, AI has become an important competitive advantage and considered the
“next big technology shift”. With around 80% of a company's time developing machine
learning models related to data management, Apres is in the perfect position to
facilitate the rise of AI, and help companies scale their applications.
“We want to provide tools that help companies
stay ahead in their industry. Thanks to our unique approach, we hope that Apres
will become a market leader in a world where data intelligence is more popular
and in demand than ever before. Our ultimate goal is to help companies
incorporate more people in the training process to help the company scale it’s
workforce’s intelligence,” said Waite.
ABOUT
Apres is an AI training platform, on a mission
to automate AI training by using a combination of human and machine labeling.
The platform learns from your data to seamlessly scale the training process,
delivering high-quality results more efficiently than ever before. This
includes tools for both textual and object detection use cases, with a library
of pretrained models to kick off learning and detailed reports to improve
training outcomes.
These automations can be integrated into a model to enrich low confidence results, through custom API endpoints, or used to create labeled data on-demand. 72300X dumps
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