DataRoot Labs

"DataRoot Labs has developed an AI-based content identification system for a content creation company. The team is responsible for building a content ingestion pipeline and creating data reasoning agents."

"A social media analytics company hired DataRoot Labs to develop a large language model for social media data. The team also worked on finding ways to connect user profiles and social media data for AI."

"DataRoot Labs has built an AI-powered audio content recommendation engine for a social audio marketplace. The team has also improved the client's existing algorithms and added new features to them."

"DataRoot Labs has helped an AI-powered legal document automation company develop the POC of their platform, using libraries and technologies like spaCy, NLTK, and TensorFlow. Now, they add features as needed."

"DataRoot Labs provides ongoing full-cycle software development for a software solutions provider. They have integrated an AI model that allows drivers to deliver loads efficiently."

"DataRoot Labs develops an ML-driven module for a dating app's algorithm. The project aims to build an adaptable, scalable algorithm that generates compatible match recommendations."

"DataRoot Labs has been creating an ML-based classification model, an API, and documentation for a retail company. Technologies include NodeJS, Kubernetes, Python, and CircleCI."

"DataRoot Labs provides ongoing IT consultation and SI services for AI-powered business insights. The team provided a breakdown of the tech the client will use along with pricing and recommendations."

"DataRoot Labs collaborated with an analytics services company to provide custom software development for a healthcare client. The team created a data warehouse using Amazon Redshift to help configure tracking."

"Using synthetic data and a framework, DataRoot Labs developed a machine learning algorithm to predict events for a health care startup. The team tested and trained the prediction algorithm using a TensorBoard."