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Crux: Developing AI-driven analytics solutions for businesses

2 mins

Daniil Bazylenko

Published by: Daniil Bazylenko

16 February 2024, 10:04AM

In Brief

Crux, co-founded by Himank Jain, Atharva Padhye, and Prabhat Singh, offers AI models for enterprises to analyze business data using natural language, similar to OpenAI's ChatGPT.

The platform transforms database structures into a "semantic layer" for AI understanding, enabling customized, precise question-answering models tailored to specific business intelligence needs.

Crux utilizes a multi-model framework to dissect user queries into components, handled by specialized models, including a "clarification agent" for refining user intent.

Operated on-premise, Crux ensures client data privacy by not using customer data to train its models, aiming to provide an AI-powered decision-making engine for businesses.

With $2.6 million in funding, Crux has already achieved $240,000 in annual recurring revenue from four clients, planning to expand its enterprise client base while keeping its team size to around 20 people.

The world of technology is buzzing with the rapid advancements in AI, but this speed brings challenges for businesses wanting to use it. They have to keep up with the latest trends, make sure everything works, and ensure they're doing so accurately and securely.

Many new companies are designing AI tools specifically for businesses. For example, Arcee is working on ways for companies to train and manage AI models safely, while Articul8 AI is developing software to help businesses use algorithms.

Joining these innovators is Crux, founded by Himank Jain, Atharva Padhye, and Prabhat Singh. Crux offers AI models that can understand and respond to business-related questions in simple language, similar to the way OpenAI's ChatGPT works. Padhye describes it as giving business leaders the power to get reports, analyses, or predictions instantly by asking questions in natural language, such as asking why an email campaign isn't doing well.

Crux has evolved through nearly 15 major changes to become what it is today. It takes complex database structures and makes them understandable to AI, allowing businesses to get customized answers that fit their specific needs. Crux's system breaks down questions into parts and uses different AI models to find answers, including a "clarification agent" that asks more questions to clarify what the user wants.

The system is set up directly within a company's own infrastructure and is designed not to train on the company's data, ensuring privacy. Padhye emphasizes that Crux's goal is to revolutionize decision-making in businesses, offering a new approach to business intelligence.

Crux earns money by selling subscriptions and charging for setup and ongoing services, tailored to the size and needs of the business. This approach has already proven profitable, with Crux quickly achieving significant annual revenue from just a handful of clients.

Despite plans to grow, Crux intends to keep its team small, with no more than 20 people by year's end. However, with recent funding, including $2.6 million from investors like Emergent Ventures and Y Combinator, the company is looking to attract more large business clients.

Emergent Ventures praises Crux for its innovative product, highlighting the potential for AI to transform business intelligence and analytics by providing real-time, accurate information that can help companies grow their revenue.

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