Korl Launches AI Platform to Transform Customer Communications with Multi-Source Data

In today’s data-rich environment, customer-facing teams often grapple with fragmented information scattered across platforms like Salesforce, Jira, Google Docs, and Figma. Despite having access to vast datasets, these teams struggle to synthesize insights into compelling, customized messaging that truly resonates with customers. Korl, a newly launched startup, addresses this challenge by offering an AI-powered platform that integrates and contextualizes data from multiple enterprise systems to create highly personalized customer communications.

Korl’s platform employs a multi-agent, multimodal approach, leveraging AI models from OpenAI, Gemini, and Anthropic to source, enrich, and analyze data. This ensemble of models is orchestrated dynamically to optimize for speed, accuracy, and cost-effectiveness, ensuring the best AI model is used for each specific task—whether generating nuanced narratives or performing complex data computations.

The platform’s AI agents automatically gather and structure data from diverse sources, including engineering documentation from Jira, project details from Salesforce, design assets from Figma, and collaborative notes from Google Docs. Korl’s proprietary auto-mapper intelligently aligns disparate data schemas, evaluating factors like data sparsity to accurately map fields and fill information gaps. This comprehensive data intelligence enables the creation of polished, customer-ready materials such as quarterly business reviews, renewal pitches, and tailored presentations.

Unlike generic presentation tools that produce disconnected analytics or raw insights, Korl focuses on delivering strategic business context and brand-accurate content. Its multimodal capabilities go beyond text to interpret charts, diagrams, and structured data, answering critical questions like what story a graph tells and how to tailor messaging to specific customer priorities and lifecycle stages.

Security and privacy are paramount in Korl’s design. The platform obtains enterprise-grade privacy guarantees from AI vendors to ensure customer data is excluded from training datasets. Additionally, its multi-vendor orchestration and contextual prompting reduce the risk of data leaks or inadvertent exposure, addressing a critical concern for enterprises handling sensitive information.

Early adopters like Datacamp and Sendoso report significant benefits, including reducing customer deck preparation time from multiple hours to minutes and uncovering previously unrealized product value that drives higher net revenue retention. By bridging the gap between product development and go-to-market teams, Korl enables more effective customer renewals and expansions through timely, relevant communications.

Korl’s innovative multi-agent AI platform represents a significant advancement in how businesses leverage internal data to enhance customer engagement. By integrating diverse data sources and applying sophisticated AI orchestration, Korl empowers customer-facing teams to deliver personalized, context-rich communications that drive measurable business outcomes in a competitive SaaS landscape.