Our Products
Multilingual Smart Assistants
Elevating the user experience of Alexa across nine different languages, including English, French, Italian, German, Spanish, Portuguese, Arabic, Hindi, and Japanese.
E-discovery and Data Breach Solutions
Streamline your legal document review process with Inabia’s Natural Language Processing (NLP) models. Our technology, powered by a combination of RegEx and LLMs, identifies and redacts Personal Identifiable Information (PII) from unstructured data, assisting lawyers in their casework.
Interactive Chatbots
Empowering small businesses with the benefits of Large Language Models (LLMs). Inabia’s chatbots automate front office tasks, facilitating meaningful interactions with customers. From answering FAQs, recording orders, and booking appointments to enhancing customer experience surveys, our chatbots become your trusted business reps.
Conversational Commerce (C-Commerce)
Stay ahead of the game with Inabia’s innovative approach to e-commerce. We integrate Large Language Models (LLMs) into popular super apps like WhatsApp and FB Messenger, eliminating the need for costly custom app development or website integration. Let GenAI engage your customers, remember their personal preferences, provide product recommendation, and send timely reminders to boost your sales.
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.