Unsupervised Reviews & Product Details

Tellius is the AI interface for enterprise data built for scale and complexity. We help teams understand what’s happening in their business and why—across massive datasets and messy enterprise environments. Our semantic knowledge layer connects data to business language, enabling fast, accurate insights through natural language and agentic workflows. No more hunting through dashboards or writing SQL. Just ask, explore, and act in a unified, conversational experience.

Data Science & AI Development Environment, built for code-first data teams. Seamlessly turn prototypes into software, ready to deploy yourself or handover to the engineering team for deployment.

Aible is an intuitive AutoML tool that enables your business team to create high-quality custom AI models focused on maximizing Business Impact. No training, no consulting required.

In today's data-driven world, unlocking the "why" behind data is crucial for strategic decision-making. Introducing DataGenie, an innovative tool that autonomously, periodically generates 'top stories' that unlock the 'why', from diverse data sources even without a data lake. With Generative AI technology, DataGenie also enables natural language interaction for deeper analysis and clearer insights. DataGenie offers traditional reporting as well as the ability to forecast.

Embrace a future where data drives decisions with unparalleled clarity. Connect with ramanan@datagene.aito delve into this treasure trove of insights

Kater is an AI-powered platform designed to transform complex data into actionable insights, enabling businesses to make informed decisions efficiently. By integrating structured decision trees with a unified data model, Kater guides users through data analysis processes, eliminating the need for static dashboards and reducing reliance on data teams. This approach ensures that stakeholders can interpret data effectively and take decisive actions based on clear insights. Key Features and Functionality: - Data Playbooks: Structured decision trees that guide users through insights, highlighting what matters and suggesting next steps, thereby eliminating guesswork in data interpretation. - Butler AI: An AI assistant that provides self-serve answers to follow-up questions, capturing business logic as an analyst would explain, reducing ambiguity and back-and-forth with data teams. - Unified Data Model: Ensures consistency and trustworthiness by using a shared semantic layer, so all users work off the same definitions and logic, preventing discrepancies in data interpretation. - Business Question Mapping: Intuitive navigation through Playbooks structured like business conversations, mirroring natural problem-solving approaches without requiring extensive data knowledge. - Security Measures: Enterprise-scale security with SOC 2 compliance, ISO 27001 certification, encrypted data in transit and at rest, and secure credential storage, ensuring data privacy and compliance. Primary Value and Problem Solved: Kater addresses the common challenge where businesses know what is happening through data but struggle to interpret it to drive actions. By providing structured decision trees and an AI assistant, Kater empowers stakeholders to ask the right questions, interpret data accurately, and make proactive decisions without constant reliance on data teams. This leads to more efficient decision-making processes, reduced delays, and a clearer path from data insights to actionable outcomes.