Clari and Salesloft, two Revenue Orchestration category leaders, today announced a definitive agreement to merge. This category-defining move forms a Revenue...

The Access Group's expansion with Clari underscores its commitment to driving predictable, repeatable revenue growth as it scales.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. It’s a conundrum: Customer teams have more data than they can ever begin to use — from Salesforce notes, Jira tickets, project dashboards, Google Docs — but they struggle to bring it all together when crafting customer messaging that really resonates. Existing tools often rely on generic templates or slides and fail to provide a complete picture of customer journeys, roadmaps, project goals and business objectives. Korl, a startup launched today, hopes to overcome these challenges with a new platform that works across multiple systems to help create highly-customized communications. The multi-agent, multimodal tool uses a mix of models from OpenAI, Gemini and Anthropic to source and contextualize data. “Engineers have powerful AI tools, but customer-facing teams are stuck with shallow, disconnected solutions,” Berit Hoffmann, CEO and co-founder of Korl, told VentureBeat in an exclusive interview. “Korl’s core innovation is rooted in our advanced multi-agent pipelines designed to build the customer and product context that generic presentation tools lack.” Creating tailored customer materials through a multi-source viewKorl’s AI agents aggregates information from across different systems — such as engineering documentation from Jira, outlines from Google Docs, designs from Figma and project data from Salesforce — to build a multi-source view. For instance, once a customer connects Korl to Jira, its agent studies existing and planned product capabilities to figure out how to map data and import new product capabilities, Hoffmann explained. The platform matches product data with customer information — such as usage history, business priorities and lifecycle stage — filling in gaps with the use of AI. “Korl’s data agents automatically gather, enrich, and structure diverse datasets from internal sources and external public data,” said Hoffmann. The platform then automatically generates personalized quarterly business reviews (QBRs), renewal pitches, tailored presentations and other materials for use in important customer milestones. Hoffmann said the company’s core differentiator is its ability to deliver “polished, customer-ready materials” such as slides, narratives and emails, “rather than merely analytics or raw insights.”“We think this delivers a level of operational value that customer-facing teams need today given the pressures to do more with less,” she said. Switching between OpenAI, Gemini, Anthropic, based on performanceKorl orchestrates an “ensemble of models” across OpenAI, Gemini and Anthropic, selecting the best model for the job at the time based on speed, accuracy and cost, Hoffmann explained