AI Resource Center
Build a better data pipeline
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 evolution of technology has enabled the innovation of many useful equipment to ease the human effort. Automatic Number Plate Recognition, being one such technology,
Every ML Engineer wants to develop a reliable and accurate AI model. Data scientists spend nearly 80% of their time labeling and augmenting data. That’s
Voice assistants might be these cool, predominantly female voices that respond to your requests to find the nearest restaurant or the shortest route to the
The global natural language processing market is slated to increase from $1.8 billion in 2021 to $4.3 billion in 2026, growing at a CAGR of
The latest adage of data being the new oil is true, and just like your regular fuel, it is becoming hard to come by. Yet,
The digital world is constantly evolving, and one catalyst that differentiates this platform from the others is user-generated content. Although companies worldwide have their websites
In 2020, 1.7 MB of data was created every second by people. And in the same year, we produced close to 2.5 quintillion data bytes
Machine learning models are not made perfect – they are perfected over time, with training and testing. An ML algorithm, to be able to produce
Human beings have the innate ability to distinguish and precisely identify objects, people, animals, and places from photographs. However, computers don’t come with the capability
Optical Character Recognition might sound intense and foreign to most of us, but we have been using this advanced technology more often. We use this
Everyone knows about the dangers of driving under the influence or texting while driving. However, there isn’t much attention given to driving under drowsiness. In
Most accidents related to vehicles happen due to human error. Although you can’t prevent all vehicular accidents, you can avoid a significant portion of them.
In the last decade or less, every automaker you met was excited about the prospects of self-driving cars flooding the market. While a few major
There are several different types of clients – some have a clear idea of how their speech data should be structured, and some are more
Artificial Intelligence has spread its usefulness and sophistication to several fields, and one such novel application of this advanced technology is detecting vehicular damage. Claiming
The global market for artificial intelligence in the healthcare sector is estimated to rise from $ 1.426 billion in 2017 to $ 28.04 in 2025.
We have all interacted with Conversational AI applications such as Alexa, Siri, and Google Home. These applications have made our day-to-day lives so much easier
If you use Siri, Alexa, Cortana, Amazon Echo, or others as a part of your daily lives, you would accept that Speech recognition has become
A working AI model is built on solid, reliable, and dynamic datasets. Without rich and detailed AI training data at hand, it is certainly not
A comprehensive guide to Video Annotating & Labeling for Machine Learning Intro What is Video Annotation? Its Purpose Video vs. Image Annotation Various Techniques Types
Every time we hear a word or read a text, we have the natural ability to identify and categorize the word into people, place, location,
Humans are adept at recognizing faces, but we also interpret expressions and emotions quite naturally. Research says we can identify personally familiar faces within 380ms
The success of any AI model hinges on the quality of data fed into the system. ML systems run on large quantities of data, but
Intelligent #AI/ #ML models are everywhere, be it, Predictive healthcare models, proactive diagnosis,
An AI algorithm is only as good as the data you feed it. It is neither a bold nor an unconventional statement. AI could have