Korl‘s new multi-agent platform represents a significant advancement in customer communication technology, leveraging AI to bridge the persistent gap between disconnected customer data systems. By orchestrating information from various sources like Salesforce, Jira, and Google Docs, the startup offers a solution to a fundamental business challenge: creating truly personalized customer materials that align with both customer needs and product capabilities without the traditional manual effort.
The big picture: Korl has launched a multimodal, multi-agent AI platform that automatically creates highly customized customer communications by aggregating data across disparate business systems.
- The startup enters the market with $5 million in seed funding co-led by MaC Venture Capital and Underscore VC.
- Early customers include skills-building platform Datacamp and gifting company Sendoso.
How it works: Korl’s AI agents gather and contextualize information from engineering documentation, outlines, designs, and customer data to build a comprehensive multi-source view.
- When connected to systems like Jira, the platform studies existing and planned product capabilities to import relevant data.
- The system matches product information with customer-specific details including usage history, business priorities, and lifecycle stage.
Key technical approach: The platform strategically employs an “ensemble of models” from OpenAI, Gemini, and Anthropic, selecting the optimal AI for each specific task based on performance metrics.
- Korl dynamically chooses models based on speed, accuracy, and cost considerations.
- Different AI models handle specialized functions including narrative development, data computation, and visual creation.
Why it matters: Customer-facing teams typically struggle with creating personalized materials from fragmented data sources, relying on generic templates that fail to tell a complete customer story.
- “Engineers have powerful AI tools, but customer-facing teams are stuck with shallow, disconnected solutions,” explained Berit Hoffmann, CEO and co-founder of Korl.
- Early performance data suggests the platform could help mid-market software companies improve net revenue retention by at least one point.
Real-world impact: Korl significantly reduces the time required to prepare customer-facing materials, automating the creation of quarterly business reviews, renewal pitches, and tailored presentations.
- The platform transforms what was previously “multiple hours” of preparation time into “minutes,” according to Hoffmann.
- By automating these workflows, teams can focus more on relationship-building than manual content creation.
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