DataRoot Labs

DataRoot Labs was hired by Ekkobar, a social media analytics company, to develop a Language Model (LLM) that connects user profile and social media data. The team at DataRoot Labs was chosen for their high ratings, cost-effective pricing, and good value for money. They developed an LLM that could provide text-classification information, and delivered documentation and instructions for updating the model. The team size for this project ranged between 2-5 employees.

Pressmaster, a content creation company, engaged DataRoot Labs to build an AI system for identifying trending content ideas. The team was selected based on their high ratings, cultural fit, and alignment with company values. The scope of work included building a scalable pipeline to aggregate content from various sources, developing reasoning agents to analyze real-time data, and designing logic to prioritize relevant trends. The data was structured in a way that could be effectively transmitted and displayed to the front-end, ensuring the end result was actionable and clear for customers. The project team comprised of 2-5 employees.

DataRoot Labs was contracted by Personifi-ai, an AI-based consumer products company, to develop an end-to-end AI pipeline, NLP capability, and a scalable backend on AWS. The team, consisting of 6-10 employees, was chosen for their high ratings, cultural fit, cost-effectiveness, and alignment with company values. They developed a system with capabilities such as speech-to-text, custom setfit, GPT based personality system, emotion detection, and text-to-voice. The system also included sensor-driven machine learning capabilities to deliver authentic personas.