Redbird brings to market true self-serve analytics with conversational AI
Redbird, the AI-powered, conversational business intelligence (BI) platform that helps enterprises easily automate and unify their data analytics and reporting work in minutes, is bringing its AI product to market. Aiming to disrupt the prevalence of inaccurate, unsecure, and rigid chat-based BI solutions, Redbird’s AI chat platform specializes in deep, contextual, democratized analytics to help power complex data ecosystems.
At the core of Redbird’s AI platform are proprietary AI agents designed to execute specific analytical tasks at the level of specialized human resources. These AI agents, directed by natural language chat interactions, perform advanced analytics—such as data collection, data engineering, SQL analysis, data science, reporting, and domain-specific data analytics—on top of tooling that securely integrates within an enterprise’s data ecosystem.
The Redbird AI platform empowers true self-serve analytics that rivals legacy dashboarding tools, such as Tableau, Looker, and PowerBI, that have promised—and failed to deliver—similar functionality, according to Redbird.
“For the past several decades the promise of truly self-serve analytics has fallen short for organizations, with the reality instead being complex data pipelines, dashboards, and shadow analytics that require technical skills to execute,” said Erin Tavgac, co-founder and CEO of Redbird. “We have invested significant R&D into fusing the power of LLMs with Redbird’s robust end-to-end analytical toolkit in the form of AI agents that enable users to finally achieve self-serve, conversational BI that runs on their organization’s data.”
By democratizing analytics through a natural language chat interface, Redbird’s AI platform empowers those with less technical expertise to orchestrate and perform multi-step analytics tasks. For domain experts, Redbird’s AI agents can be loaded with business logic, definitions, data ontologies, and existing assets through the admin layer to deepen the accuracy and context of the agents’ outputs.
Regarding security, Redbird offers turnkey, on-prem deployments that can run large language models (LLMs) in contained environments on the enterprise’s own cloud. This ensures that enterprise data remains secure within the organization’s ecosystem, and is never used to train LLMs for other customers.
To learn more about Redbird’s AI platform, please visit https://www.redbird.io/.