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Build & localize AI-enabled speech models with rich structured datasets in multiple languages from across the globe. Fully customized intent, utterances, and demographic distribution.
We help you digitize, source, classify, and de-identify healthcare data sets thereby, increasing efficiency via automation and reducing manual processes to contribute to the development of healthcare AI
Analyze human emotions and sentiments by interpreting nuances in customer reviews, financial news, social media etc.
Train machine learning algorithms to classify images or objects present in images and video.
Automatically detect one or more human faces based on facial landmarks in an image or video. Search an existing database of human faces to compare and match to build an intelligent facial recognition platform.
Data to train virtual/digital Assistant and chatbots to respond to human speech in a variety of languages, environments, and contexts
Better understand user intent to enhance customer experiences and accurately drive the development of next-gen chatbots, digital assistants, & conversational AI.
Rapidly develop clinical AI by licensing over 5+ million patient records and 250k+ hours of highly curated, de-identified healthcare data containing patient audio files and medical images from over 31 healthcare specialties.
Quickly and accurately identify and transcribe text within audio or video digitally by our transcription specialist.
De-identify critical data (i.e. personally identifiable information (PII) & protected health Information (PHI)) by our credentialed and certified domain experts.
Sentiment analysis (happiness, frustration, anger, sadness) of customer feedback to develop a customer review monitoring application
Curate image datasets with variations of gender, inside vs outside, lighting conditions, angle of capture, age group, etc. to build facial recognition model for retail use.
Develop natural language processing with the collection of domain-specific multi-lingual text data (Business Card Dataset, Document Dataset, Menu Dataset, Receipt Dataset, Ticket Dataset) to unlock critical information found deep within unstructured data to solve a variety of use cases
We are a leader when it comes to speech data collection for training & improving conversational AI & chatbots. We help you with data that is collected as utterances, time-stamped, and categorized across more than 60 languages and dialects.
Add computer vision to your machine learning capabilities by collecting large volumes of image datasets (medical image dataset, invoice image dataset, facial dataset collection, or any custom data set) for a variety of use cases i.e., image classification, facial recognition, etc.
Collect actionable training video datasets like CCTV footages, traffic video, surveillance video, etc. to train machine learning models. Each dataset is customized as per client requirements.
Train machine learning algorithms for self-driving automobiles using the image and video segmentation. Categorize person, vehicle, traffic signs, road lanes, etc.
Train machine learning algorithms to identify & classify the named entities presented in a text document by labeling them into predefined categories (i.e. person, organization, place, etc.)
Annotation of satellite images & UAV photography, prepare datasets for geoprocessing and annotate 3D point cloud for Geo.AI.
From doctors’ handwriting to doctors' prescriptions, our transcription specialists digitally transform medical data such as archival documents, contracts, medical records, with guaranteed TAT, accuracy, & savings.
Save time and money by efficiently, accurately, and securely transcribing key data from medical records.
Train machine learning algorithms to develop AI models in healthcare by annotating text into entity types, modifiers, and relationships.
Segmentation and classification of selective regions within radiology images to improve image diagnosis and anomaly detection.
Classify documents based on their content (i.e. technology, sports, movies, etc.)
Develop and deliver NLP capable of identifying malicious patterns of fraud by searching the evidence present in identifying links between named entities in a document, such as individuals, organizations, locations, etc.
Aggregate and analyze financial information from various sources.
Development of clinical NLP by mapping critical diseases into various categories will well-annotated ground-truth data.
Annotate insurance entities from documents with high accuracy using certified domain experts
Improve pricing, property valuation and catastrophe assessment through aerial, drone, and satellite imagery.
Label and annotate medical records in multiple forms (including EHR).
Development of clinical NLP by mapping critical diseases into various categories will well-annotated ground-truth data.
Expedite auto and property claims assessments with a high volume image repository.
