Education

Fluent's AI-powered LLMs Revolutionize Business Intelligence Tools

Currently, large organizations often utilize business intelligence (BI) tools to gain insights into their operations, leading to the development of cumbersome software solutions.

U.K. startup Fluent has secured a $7.5 million seed investment round to leverage AI-based large language models (LLMs) for simplifying the interrogation of business databases by non-technical users.

BI tools traditionally connect to a business database using SQL to facilitate the creation of visualizations and dashboards. Major players in this space include Tableau (owned by Salesforce), Power BI (owned by Microsoft), Looker (owned by Google), and QuickSight (owned by Amazon).

The global business intelligence market was valued at $27.11 billion in 2022 and is projected to reach $54.27 billion by 2030. Gartner believes this market could expand further with the wider adoption of AI and LLMs.

Fluent aims to streamline data access for users by utilizing natural-language LLMs that translate queries into SQL and provide faster responses, enabling anyone to extract insights from their data regardless of technical expertise.

Fluent has already attracted clients like Bain & Company, demonstrating the effectiveness of its approach.

The company primarily leverages Azure OpenAI’s GPT4 model to ensure the accuracy of answers provided to users, catering to organizations' trust and reliability requirements.

Fluent's platform has significantly improved data accessibility and query efficiency for organizations like Bain & Company, empowering consultants to derive insights swiftly and accurately.

Fluent distinguishes itself by focusing on delivering answers to business users' questions rather than complex data modeling, catering to the broader business market rather than just data specialists.

The natural language querying space is still emerging, with companies like Metabase, Einblick, and ThoughtSpot offering alternative approaches to business intelligence tools.

Related Articles

Back to top button Back to top button