

Discover how Inabia leverages cutting-edge technology and a team of highly skilled Data Scientists to empower our customers.


Some of our capabilities include
- Precision data labeling services
- Text annotation for grading, sentiment analysis, fact collection, and translation in 18 foreign dialects.
- Image annotation for medical CT scans and X rays, capturing ads during sports matches, and self-driving vehicles.
- Audio annotation for latency measurement, sentiment analysis and transcription in multiple languages
- Multilingual smart assistants
- E-discovery and data breach solutions
- Interactive chatbots
- Conversational commerce (C-commerce)
- Medical legal regulatory compliance (MLRC)




Multilingual Smart Assistants










E-discovery and Data Breach Solutions


Interactive Chatbots










Conversational Commerce (C-Commerce)


Medical Legal Regulatory Compliance (MLRC)
Pharmaceutical companies hire teams of very talented and expensive lawyers to ensure that their public communications and advertisements don’t violate any FDA regulations. Our AI-Powered RegTool accelerates document review time, enabling MLRC review teams to work more efficiently










TEXT AUGMENTATION – PARAPHRASING
Easily improve any text. Improve grammar, punctuation, word choice, and sentence structure with the Inabia AI writing assistant.


Fact Collection
Inabia AI’s model finds answers and information within a fraction of a second.










Grading Questions and Answers
Our automated scoring system consistently delivers near 90% accuracy. Inabia AI grades the question and answer pairs semantically and factually to label them as ‘good,’ ‘bad,’ or ‘no answer.’ Low confidence lines are highlighted for an easier and faster expert human review.


Tagging and Classification
Inabia AI delivers consistently accurate results in record time. It automatically suggests tags, organizes data in relevant groups, and tags sensitive web content.










Summarization
Summarize large quantities of text to any target size without losing the context and critical information.


TEXT EXTRACTION
Inabia AI’s model scans text and extracts relevant or core words and phrases from unstructured data like news articles, surveys, and customer service tickets.










Sentiment Analysis
Inabia AI’s model analyzes textual data to help businesses monitor brand and product sentiment in customer feedback, and understand customer needs.


Named Entity Recognition (NER)
Locate and classify named entities mentioned in text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.



