App Orchid, an artificial intelligence company specializing in enterprise data analytics, announced today an expanded collaboration with Google Cloud that aims to help businesses more easily extract insights from their corporate data using natural language queries powered by Google’s Gemini AI models.

The partnership centers on integrating App Orchid’s technology with Google Cloud’s Cortex Framework, which helps organizations manage data from systems like SAP and Salesforce. The combination allows business users to ask questions about their data in plain English and receive AI-generated analytics and insights.

“For too long, organizations have struggled to get answers to business critical questions in a timely manner,” said Wes Kapsa, Chief Revenue Officer at App Orchid, in an exclusive interview with VentureBeat. “With App Orchid and Google Cloud Cortex Framework, customers can get instant, timely and accurate insights.”

Knowledge graphs and natural language: A new approach to enterprise data

The company’s approach differs from competitors by using what it calls an “ontology-driven framework” that creates knowledge graphs of enterprise data. This allows AI models to better understand complex business information and relationships.

“It’s really hard to teach a language model how to understand database data, because as a human, it’s hard for us to understand database data as well,” explained Rehan Refai, VP of Solutions at App Orchid, in an interview with VentureBeat. “What we’ve developed is a method where you can access cortex data using our product called Easy Answers.”

According to Refai, the company’s text-to-SQL accuracy rate of 99.8% significantly outperforms competitors who achieve around 90% accuracy. The system also provides detailed explanations for how it arrives at answers – a critical feature for enterprises concerned about AI hallucinations.

Breaking down data silos with AI-powered analytics

The partnership represents a strategic expansion for App Orchid, which has historically focused on specific industry verticals like manufacturing and logistics. “This is our first endeavor in an offering that is more horizontal,” noted Kapsa.

The collaboration comes as enterprises increasingly look to democratize access to their data while maintaining accuracy and trust. App Orchid claims its technology can reduce data preparation time by up to 85% compared to traditional methods.

AI agents and predictive analytics: What’s next for enterprise data

Looking ahead, App Orchid is developing new capabilities including probabilistic ontologies that can predict likely outcomes, and integration with emerging AI agent architectures. “Agents are the next big thing with LLMs,” said Refai. “We are one of the top choices when it comes to if you want to have an agent that’s an LLM player that wants to understand structured data.”

The Easy Answers application is available now on the Google Cloud Platform Marketplace. While financial terms of the partnership were not disclosed, it represents a significant validation of App Orchid’s approach to making enterprise data more accessible through AI.