Salesforce Acquires Convergence.ai, Boosting Agentforce with Adaptive Interface Technology
Salesforce has signed a definitive agreement to acquire Convergence.ai, an AI agent technology startup recognized for developing systems that navigate dynamic interfaces and perform complex tasks in digital environments. The acquisition announced May 15, 2025, positions Convergence’s team and technology as the foundation for a new London-based R&D center while enhancing Salesforce’s Agentforce platform.
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Acquisition Details and Strategic Vision
Convergence.ai emerged rapidly as a pioneer in autonomous AI agents despite being only 13 months old at acquisition. Founded in April 2024 by Marvin Purtorab (CEO) and Andy Toulis (CTO), the company secured a substantial $12 million pre-seed round led by Balderton Capital with participation from Salesforce Ventures.
What makes Convergence.ai’s technology particularly valuable is its ability to navigate web interfaces without API integrations by identifying visual elements, interacting like human users, and adapting in real-time to pop-ups, errors, and UI changes. Their flagship Proxy product achieved an 88% success rate on the Web Voyager benchmark across 643 real-world tasks on 15 popular websites—outperforming models from major competitors.
“The next wave of customer interaction and employee productivity will be driven by highly capable AI agents that can navigate the complexities of today’s digital work,” said Adam Evans, EVP & GM of Salesforce AI Platform. “Convergence’s innovative approach to building adaptive, intelligent agents is incredibly impressive. We are thrilled to welcome their talented team to Salesforce, and we look forward to their contributions in helping Agentforce deliver AI that truly transforms how work gets done.”
Marvin Purtorab, CEO and co-founder of Convergence, highlighted the alignment in vision: “The future of business automation isn’t limited to single, scripted tasks – it lies in end-to-end, decision-driven workflows where multiple agents collaborate and hand off seamlessly. Our mission at Convergence is to help organizations stop viewing automation as just another tool and instead adopt it as the very way work gets done — unlocking new levels of innovation and efficiency. Joining Salesforce is the ideal step to scale that vision.”
The acquisition is expected to close in the second quarter of Salesforce’s fiscal year 2026 (which is currently underway), with no additional financial details disclosed at this time.
Salesforce vs. ServiceNow: The Enterprise Automation Arms Race
The Convergence.ai acquisition represents a significant acceleration in the enterprise automation arms race, particularly between Salesforce and ServiceNow. Both companies are rapidly expanding their AI agent capabilities, though with somewhat different approaches.
Salesforce’s acquisition strengthens its Agentforce platform, introduced in late 2024 as the company’s vision for the “third wave of AI” that moves beyond predictive analytics and copilots to fully autonomous agents. This aligns with Marc Benioff’s ambitious goal of deploying one billion AI agents through Salesforce by the end of 2025.
ServiceNow, meanwhile, has been building out its Now Platform with AI capabilities focused on process automation and workflow intelligence. While ServiceNow has emphasized process optimization across IT, customer service, and HR functions, Salesforce’s approach with Convergence appears more focused on agents that can navigate dynamic interfaces without structured API integrations.
A key differentiator in Salesforce’s strategy is the integration of Convergence.ai’s Large Meta Learning Models (LMLMs) and Generative Tree Search architecture into the Atlas Reasoning Engine—the “brain” powering Agentforce agents. This enables Salesforce to create agents capable of adapting to changing UIs and executing complex workflows autonomously, potentially leapfrogging competitors in handling unstructured digital environments.
The acquisition also represents differing geographical strategies. While ServiceNow has expanded its R&D presence primarily in North America, Salesforce is establishing a London-based AI center with this acquisition, tapping into the UK’s robust AI ecosystem that includes institutions like the Alan Turing Institute and Google DeepMind’s headquarters.
The Virtual Employee Economics Lens
Viewed through our Virtual Employee Economics framework, the Convergence acquisition strategically positions Salesforce to capitalize on all three laws of VE Economics:
- The Law of Infinite Scale with Complexity: Convergence.ai’s adaptive agent technology directly addresses the complexity factors that typically limit scalability of AI systems. By enabling agents to navigate dynamic interfaces and recover from unexpected conditions, Salesforce can push the cost curve lower at higher volumes, approaching the theoretical minimum costs for automated tasks. This creates significant economic incentives for enterprises to rapidly scale deployment across their operations.
- The Law of Cognitive Commoditization: The acquisition accelerates the commoditization of previously complex cognitive tasks. Convergence’s technology enables Salesforce to automate workflows that were previously resistant to commoditization due to their dynamic or unstructured nature. By extending automation to these more complex scenarios, Salesforce helps customers shift human talent to higher-value creative and strategic activities while reducing costs for routine processes.
- The Law of Exponential Learning: Perhaps most significantly, Convergence.ai’s Large Meta Learning Models align perfectly with the exponential learning principle. Unlike conventional models limited by initial training data, these systems can learn continuously during inference time, acquire new skills through real-time usage, and improve based on human feedback without large retraining datasets. When deployed across Salesforce’s massive customer base, this creates powerful network effects as agents share knowledge and continuously improve.
The pricing shift announced alongside the acquisition—moving from $2 per conversation to a “Flex Credits” system (100,000 credits for $500, with actions costing 20 credits or $0.10 each)—further reflects VE Economic principles by incentivizing volume and enabling more granular consumption-based pricing that scales with value delivered.
Market Implications and Outlook
This acquisition represents a significant milestone in the evolution of AI agents from experimental technology to enterprise-ready tools. For Salesforce’s 135,000 customer base, the integration of Convergence.ai’s technology lowers the barriers to implementing sophisticated agent-based automation while addressing enterprise concerns about security and compliance.
For the broader industry, this move signals accelerating maturity in the AI agent market. The acquisition also hints at increasing consolidation as platform leaders acquire promising startups to secure technological advantages in the rapidly evolving space.
For mid-tier consulting firms in the Salesforce ecosystem, this creates both challenges and opportunities. While service commoditization will accelerate as agents automate many implementation and customization tasks, new opportunities emerge for firms that can develop specialized agents for specific industry verticals or provide strategic guidance on enterprise-wide agent deployment.
As Jayesh Govindarajan, EVP of AI/ML Engineering at Salesforce, noted, Convergence will form “the nucleus of a world-class AI lab that expands over time,” suggesting this acquisition is just the beginning of Salesforce’s ambitions in this space.
By integrating Convergence.ai’s adaptive, learning-capable agents into its Agentforce platform, Salesforce makes a compelling statement about its commitment to digital worker and VE solutions. For enterprise leaders, this signals the need to prepare for a future where AI agents become central to employee productivity, customer experience, and operational efficiency. The race to deploy a billion agents is officially underway.
