Chatbots and Natural Language Processing
Essentially UI/UX 2.0. Our interfaces will drive conversations by combining Natural Language Interfaces with traditional UI elements like buttons, menus and images. We strive to create as intuitive and simple an experience as possible, so as to replicate the human touch in a conversation.
We’ve built bots for internal use and clients, and we know which permutations of APIs, frameworks and plugins will work best for which use-cases. We’ve used multiple technologies for queuing, data processing, NLP, third party integration, and worked with multiple open-source platforms.
Natural Language Processing
We use NLP and NLU to parse languages and identify various categories such as entities, intents, actions and context around which responses could be framed. We use technologies such as API.ai, NLTK, CoreNLP and smoochBlob. Of late, we’ve been focusing on voice to text for chatbots, for the comprehensive chat experience.
We help minimize false positives and false negatives with a pre-processing pipeline to handle common errors with dependency parsing, lemmatization, POS-checking and more. We also improve entity recognition, concept/synonym recognition, etc.
Featured Industry Work
EMR analytics, readmission rate prediction, detecting fraudulent insurance claims, among other things. And a decade of extensive business experience in Healthcare to boot.
We’ve built algorithms to help retailers predict optimal promotion pricing, discounts, inventory and more. We’ve also built intelligent AI-powered chatbots for eCommerce businesses.
Fraud detection, enhanced credit scoring based on social data, funnel optimization, and other custom-built solutions for financial institutions.
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