How AI startup Connecty aims to help enterprises maximize their data value

The rapid growth of enterprise data has created challenges for companies seeking to extract meaningful insights, with traditional tools and large language models often falling short of expectations.

The innovation: Connecty AI, a California-based startup, has developed a platform that personalizes data analysis by incorporating company-specific context and human inputs to automate data workflows.

• The company has secured $1.8 million in pre-seed funding led by Market One Capital, with participation from Notion Capital and various business angels
• CEO Aish Agarwal founded the company with Peter Wisniewski to address the limitations of generic large language models in enterprise settings
• The platform aims to reduce manual data analysis tasks by up to 80%, allowing data analysts to focus on higher-value activities

Technical approach: The platform builds customized context for each enterprise by combining organizational data sources with human input to create more effective automated workflows.

• Unlike traditional large language models trained on public data, Connecty AI’s solution adapts to each organization’s specific needs and data structures
• The platform helps companies connect disparate data sources while maintaining awareness of business objectives
• Early commercial partners range from companies with $5 million to $2 billion in annual revenue

Early results: Initial implementations with commercial partners have demonstrated promising outcomes in reducing data preparation time and improving analysis quality.

• Kittl CEO Nicolas Heyman reports significant improvements in data preparation time, reducing the typical two to three week wait for actionable insights
• Mindtickle’s director of analytics, Aditya Upadhyay, praised the platform’s accuracy and its ability to enhance schema descriptions and semantic layer functionality
• The solution provides a unified workflow from data preparation to querying

Market opportunity: The AI analytics sector presents substantial growth potential for companies addressing enterprise data challenges.

• Future Markets Insights projects the global AI analytics market will grow at 23% annually over the next decade
• The market is expected to reach $223 billion by 2034
• Market One Capital partner Jacek Lubinski highlighted the platform’s potential to transform enterprise data management through deep context learning

Looking ahead: While Connecty AI’s approach shows promise in addressing the limitations of current enterprise data solutions, the company’s success will likely depend on its ability to scale its personalized approach across a broader range of organizations and maintain its effectiveness as it grows beyond its initial implementation partners.