Redbird launches AI agents that handle 90% of analytical work

New York-based Redbird has recently unveiled a groundbreaking chat platform powered by “specialized agents,” enabling businesses to streamline and manage the bulk of their analytical value chain activities. From data collection and design to data science and report generation, this innovative system allows users to extract insights from their data in near real-time, utilizing simple prompts in natural language. According to Redbird, these AI agents can potentially handle up to 90% of the workloads associated with analytical tasks.

Founded in 2018 as Cube Analytics, Redbird has long been a player in the analytics landscape. It initially provided companies with a drag-and-drop, no-code toolkit aimed at automating and unifying analytical processes. Earlier this year, the firm took a step further by introducing a conversational interface that allows users to pose questions and receive instantaneous insights. With the recent addition of specialized AI agents, Redbird has further enhanced its capabilities by orchestrating and executing multi-stage analytical tasks to deliver more comprehensive answers to business queries.

The chat platform is highly customizable, tailored with organization-specific data ontologies, business logic, and reporting blueprints. These AI agents utilize this structured information to generate metadata and efficiently address user inquiries. Routing agents play a crucial role by identifying the most suitable specialized agents to perform the requested tasks and orchestrate their execution sequence. Redbird’s agents are equipped to extract both structured and unstructured data from over 100 sources, conduct advanced processing, generate robust reports, and take action based on the outcomes. Instead of merely providing a textual response, the chat platform delivers the necessary results directly, including reports and data compilations.

Beyond simple text-to-SQL conversions, Redbird streamlines the entire analytical pipeline through its AI agents. While retaining its original drag-and-drop interface, the company focuses on automating the more complex components of corporate business intelligence workflows. This integration allows for AI agents to carry out intricate actions based on analytical results.

Redbird’s innovative approach has already attracted major clients such as Mondelez International, USA Today, Bobcat Company, and Johnson & Johnson. The company offers its technology on a Software as a Service (SaaS) model, with usage-based pricing, and plans to roll out more advanced agents to broaden its business intelligence coverage. As organizations seek to harness the power of data analytics, Redbird’s AI-driven solutions stand out as a promising tool for increased efficiency and effectiveness in data-driven decision-making.