AI Resource Center
Training data to build multi-lingual Conversational AI
High-quality audio data sourced, created, curated, and transcribed to train conversational AI in 27 languages.
Named Entity Recognition (NER) Annotation for Clinical NLP
Well-Annotated and Gold Standard clinical text data to train/develop clinical NLP to build next version of Healthcare API.
Image Collection & Annotation to enhance Image RecognitionHigh-quality image data sourced and annotated to train image recognition models for new smartphone series.
Data De-Id Anonymization Platform
Get critical data de-identified by credentialed domain experts
AI Data Platform OverviewAcquire quality data and scale AI/ML models
Data Annotation PlatformUnlock critical information in unstructured data from financial, insurance, etc.
Medical Annotation PlatformNER helps organizations to extract critical information in unstructured medical data
Buyer’s Guide for Data AnnotationSo, you want to start a new AI/ML initiative and are realizing that finding good data
will be one of the more challenging aspects of your operation. The output of your AI/ML model is only as good as the data you use to train it – so the expertise you apply to data aggregation, annotation, and labeling is of critical importance.Read more Download
Future of Voice TechnologyVoice Technology has the power to revolutionize how we communicate.
This webinar is aimed to educate the participant on ‘How voice tech can be utilized in any domain’ and how various Conversational AI use cases are used to enrich end-user experience.Read more View Recording
The process of collecting AI training data is both inevitable and challenging. There is no way we could skip this part and directly get to
How Healthcare Training Data is Driving Healthcare AI to the Moon? Data procurement has always been an organizational priority. More so when the concerned data
Developing an AI model is expensive, right? For a lot of companies, the mere idea of developing a simple AI model could push them to
Preparing training data could be either an exciting or a challenging phase in the machine learning development process. Challenging if you’re compiling training data by
If you’re developing an AI solution, the time-to-market of your product relies heavily on the timely availability of quality datasets for training purposes. Only when
Data annotation or data labeling, as you know, is a perpetual process. There’s no one defining moment you could tell that you would stop training
The healthcare industry has always benefited from technological advances and their offerings. From pacemakers and X-Rays to electronic CPRs and more, healthcare has been able
The market value of artificial intelligence in healthcare hit a new high in 2020 at $6.7bn. Experts in the field and tech veterans also reveal
Electronic Health Records (EHRs) are supposed to be efficient and assist in the swift delivery of healthcare services to patients. However, there seems to be
Download Infographics Intelligent AI models need to be trained extensively for being able to identify patterns, objects, and eventually make reliable decisions. However, the trained
For a long time, we’ve been reading about the role of data annotation in machine learning and Artificial Intelligence (AI) modules. We know that quality
What if we told you that the next time you took a selfie, your smartphone would predict that you are likely to develop acne in
It has been said enough times but AI is proving to be a game-changer in the healthcare industry. From being just passive participants in the
We all understand that the performance of an artificial intelligence (AI) module depends entirely on the quality of datasets provided in the training phase. However,
AI (artificial intelligence) and training data are inseparable. They are like night and day, heads and tails, and yin and yang. One cannot exist without
Various companies across a broad spectrum of industries are quickly adopting artificial intelligence to improve their operations and find solutions to their business needs. The
All projects involving Artificial Intelligence (AI) and Machine Learning require AI training data. The only way AI systems can learn to become more accurate and
Today a business without Artificial Intelligence (AI) and Machine Learning (ML) is at a significant competitive disadvantage. From supporting and optimizing backend processes and workflows
Data collection has always been a plaguing concern for growing companies. Unfortunately, small to medium-sized businesses struggle with data collection strategies and techniques. Larger companies
Sourcing datasets for artificial intelligence (AI) modules from public/open and free resources are among the most common questions we get asked during our consultation sessions.
We don’t have to tell you the value of AI training data for your ambitious projects. You know that if you feed garbage data to
When dealing with artificial intelligence (AI), sometimes we only recognize the efficiency and accuracy of the decision-making system. We fail to identify the untold struggles
The importance of Artificial Intelligence in your products and services is increasingly essential in 2021. As you already know, your AI modules are only as
Tell us how we can help with your next AI initiative.