Redbird Launches New Chatbot AI for Business Intelligence

Redbird has made a significant leap in enterprise Business Intelligence by launching a new Chatbot AI platform to simplify complex analytics tasks. This platform is geared toward making business intelligence (BI) as easy as searching on Google. The goal is to help organizations leverage their data more effectively by providing a user-friendly, chat-based interface powered by advanced AI agents.

Based in New York, Redbird aims to disrupt the traditional methods of business intelligence that enterprises have long used. Historically, businesses have faced numerous challenges when implementing chat-based BI approaches. These challenges often stem from the need for accuracy, security, and customization specific to each organization. Although tools like ChatGPT have shown potential for handling general information tasks, they have yet to effectively address the complexities associated with enterprise-level data analytics and business intelligence software.

Redbird’s new AI chat platform introduces a unique solution. It employs AI agents capable of performing advanced data analytics while securely integrating with an organization’s existing data ecosystem. This means users can use natural language conversations to extract insights and perform analyses without requiring technical skills. This capability enables self-service analytics, a significant advancement in the field. Erin Tavgac, the Co-Founder and CEO of Redbird, explains, “For decades, the promise of truly self-serve analytics has fallen short for organizations, resulting in complex data pipelines and dashboards that often require technical skills to navigate.”

Redbird has invested heavily in research and development to merge large language models (LLMs) capabilities with a comprehensive analytical toolkit to address this gap. The aim is to create AI agents that empower users to achieve self-serve, conversational BI directly using their organization’s data. This approach democratizes data access and fosters a culture of data-driven decision-making within enterprises.

The proprietary AI agents developed by Redbird are trained to handle specific analytical tasks traditionally performed by specialized personnel. These tasks range from data collection and engineering to SQL analysis, data science, reporting, and domain-specific analytics. By automating these processes, Redbird’s platform significantly reduces the workload on human resources, allowing them to focus on more strategic initiatives. This capability positions Redbird among the leading providers of business intelligence tools that enhance organizational efficiency.

Moreover, the platform features an admin layer where domain experts within an organization can input business logic, definitions, data ontologies, and existing assets, such as presentations and documents. This means that the AI agents can reference this context to provide more accurate and relevant insights. By incorporating organizational knowledge, Redbird ensures that the AI not only operates effectively but also aligns with the specific needs and goals of the business intelligence strategy.

Security is crucial for many organizations, especially regarding data management and analytics. To address these concerns, Redbird offers turnkey on-premises deployments that enable enterprises to run LLMs in contained environments within their cloud systems. This setup ensures that all enterprise data remains secure and is not utilized to train LLMs for other organizations. Redbird helps businesses control sensitive information by prioritizing security while benefiting from advanced AI capabilities.

In recent years, many enterprises have closely monitored advancements in LLM technology, recognizing its potential to improve operational efficiency. However, efforts to develop in-house AI solutions have often proven costly and ineffective due to the complexities involved in the technology. Additionally, third-party AI products, like Microsoft Copilot, have frequently provided only surface-level assistance, failing to meet the in-depth analytical needs of large organizations. Redbird’s AI product is becoming popular among significant enterprises as a practical solution to these issues, helping them harness the full power of business intelligence software.

Since receiving seed funding in 2022, Redbird has experienced impressive growth. The company has expanded its customer base sevenfold and tripled its team size. Additionally, Redbird has built an extensive AI ecosystem founded on its core data analytics automation platform. This growth includes collaborations with eight Fortune 50 brands and ongoing efforts to onboard significant government organizations in the United States.

The founders, Erin Tavgac and Deren Tavgac bring a wealth of expertise in data analytics and AI from their previous experiences with leading global brands. Their knowledge has been instrumental in shaping Redbird’s rapid expansion. To further enhance the development of their AI product, Redbird has made key AI engineering hires, ensuring they remain at the forefront of technology in this rapidly evolving field.

Currently, Redbird’s technology is utilized by numerous enterprise customers across a variety of sectors. These organizations are discovering the potential of conversational business intelligence, marking a significant step forward in the mission to democratize data analytics. By empowering users to access and analyze data through natural conversations, Redbird is transforming the way businesses interact with their information and improving the effectiveness of their business intelligence tools.

In conclusion, Redbird’s new conversational AI platform represents a breakthrough in enterprise business intelligence. By simplifying complex analytics tasks and making them accessible to users without technical expertise, the platform opens up new possibilities for organizations. With a focus on security, customization, and user-friendly interaction, Redbird is setting a new standard for how businesses can leverage data to drive decision-making and achieve their goals. As the company continues to grow and innovate, it is well-positioned to lead the way in the future of business intelligence software and tools.