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
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 Share on linkedin Share on twitter Share on facebook Intro What is Video Annotation?
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
Natural language processing is a vital chunk in the machine learning armour. However, it needs massive amounts of data and training for the model to
In a world where business enterprises are jostling against each other to be the first to transform their business practices by applying artificial intelligence solutions,
Today, we have some talking robots as chatbots, virtual assistants, and more in our homes, car systems, portable devices, home automation solutions, etc. These devices
Driven by the need to optimize your results and make way for more AI training with additional volumes, you could be at that point where
If you intend to launch a successful donut business, you need to prepare the best donut in the market. While your technical skills and experience
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