Yet another Salesforce acquisition. The buying spree shows no sign of slowing down.
This time, Salesforce is buying Cresta.
Salesforce hasn’t disclosed the price, but the $2.7 billion figure reported by The Information would put the deal in the same price range as its acquisition of Fin, which was valued at $3.6 billion.
Founded in 2017, Cresta initially focused on real-time guidance and coaching for human agents. Over time, and with more than $270 million in funding, it expanded its offering into a conversational and agentic AI platform covering the full spectrum of customer self-service and employee assistance use cases.
Its platform combines two complementary capabilities:
Opera, its AI orchestration engine, enables enterprises to build and deploy AI agents.
Cresta Insights, its conversation intelligence solution, analyzes customer interactions, employee behavior, and conversation outcomes to identify patterns and opportunities for improvement.
Cresta really took off in 2025, crossing the $100 million ARR milestone in April 2026.
Cresta’s suite overlaps with Salesforce Agentforce, raising questions about how the two platforms will ultimately come together. We will know more after the acquisition closes. But Salesforce’s announcement already provides clues about what it values most: voice agents, conversation intelligence, and real-time assistance for human agents.
Beyond expanding Salesforce’s voice AI capabilities, Cresta brings something particularly valuable: the ability to understand what happens inside customer conversations, identify the drivers of outcomes, and use those insights to improve both human and AI-driven interactions.
This is where I see the biggest upside for Salesforce. Cresta’s conversation intelligence capabilities could significantly enrich the customer context available through Data 360 and address the shortcomings of its Customer Signals Intelligence and Feedback Management offerings. More importantly, they could help Salesforce demonstrate the value of consolidating enterprise data in Data 360 by extracting richer, actionable insights from it. As Salesforce pushes enterprises to bring more of their data into Data 360, the ability to turn that data into valuable intelligence will be critical to its monetization strategy.
More broadly, I see the convergence of Voice of the Customer (VoC) / feedback management and conversation intelligence as one of the next frontiers in CX analytics. Bringing together what customers report in surveys and other feedback channels with what they actually say and do during interactions, and correlating both with business outcomes, can deliver a much richer understanding of customer experience.