Key Takeaways:
- Pendo has acquired Forwrd.ai, a no-code predictive analytics startup based in Israel, to launch a new feature suite called Pendo Predict.
- Pendo Predict enables teams to forecast churn, prioritize leads, uncover expansion opportunities, and recommend next steps—without relying on data science teams.
- The acquisition supports Pendo’s strategy to embed AI-driven decision-making into product, sales, and customer success workflows.
- Forwrd.ai’s team will join Pendo’s Herzliya office to continue developing AI capabilities within the platform.
- The deal reflects rising demand for accessible, real-time predictive insights in SaaS and enterprise software environments.
Pendo has acquired Forwrd.ai, a no-code predictive analytics company headquartered in Israel, in a move that significantly expands its AI capabilities. The acquisition introduces Pendo Predict, a new suite of tools designed to make it easier for non-technical teams to forecast customer behavior, improve retention, and drive revenue.
The news comes just weeks after Pendo announced a new solution to measure AI agent performance.
Pendo Predict leverages usage data already collected within the Pendo platform and layers on Forwrd’s AI-driven modeling engine. The result is a set of predictive capabilities embedded directly into the product experience—eliminating the need for external business intelligence tools or separate data science teams.
With Pendo Predict, users can forecast which accounts are most at risk of churn, identify leads likely to convert, pinpoint expansion-ready accounts, and even trigger recommended in-app interventions. These insights are tied directly to product usage patterns, giving teams a clear view into customer health and intent.
According to Pendo CEO Todd Olson, this acquisition allows every function across the business—product, customer success, sales, and marketing—to act on predictive insights in real time. “Usage data is one of the strongest signals of customer intent. With Forwrd’s technology, we’re giving our customers the ability to operationalize that data through intelligent recommendations,” Olson said during the announcement.
Forwrd.ai, founded in 2021 by Kobi Stok, quickly earned traction with enterprise clients such as SAP, HubSpot, JFrog, and AppsFlyer. Its no-code platform enabled companies to build predictive models using pre-built templates and real-time behavioral inputs. The technology also includes segmentation, scoring, and recommendations for account-level next steps.
As part of the acquisition, Forwrd’s engineering and data science team will join Pendo’s Herzliya office. They will continue innovating on the predictive product suite while supporting integration with the broader Pendo ecosystem.
The addition of Pendo Predict signals a strategic pivot: from measurement and guidance to proactive intelligence. With predictive insights now embedded into the product experience, Pendo is positioning itself as more than a product analytics platform—it is evolving into a full-service intelligence layer for digital experience management.
This capability is especially important for revenue teams. With Pendo Predict, sales can focus outreach on high-intent accounts, while customer success can proactively intervene on accounts likely to churn. Marketing can also use insights to design campaigns around likely upsell targets or engagement gaps.
The acquisition is also timely. As AI becomes more integrated into enterprise SaaS platforms, demand has surged for predictive tools that are easy to use, actionable, and context-aware. Pendo Predict’s no-code interface allows cross-functional teams to build, deploy, and monitor models with minimal training.
Strategically, this acquisition helps Pendo compete with platforms offering embedded analytics or intelligence layers, such as Gainsight, Mixpanel, and Amplitude. Unlike generic BI platforms, Pendo is betting that its tight coupling with usage data—and its foundation in in-app guidance and product experience—offers a stronger context for action.
In the months ahead, Pendo Predict will be rolled out to select users via early access, with general availability expected later this year. The product will integrate with CRMs and customer data platforms, allowing predictive outputs to be synced across tech stacks. Future enhancements may include automated playbooks, alerting, and AI-driven orchestration between in-app nudges, emails, and customer success workflows.
This acquisition also aligns with broader AI trends within Pendo, following the launch of Agent Analytics and a series of enhancements to its core platform earlier this year. Pendo appears to be moving aggressively to bring machine learning and predictive functionality to the forefront of the product experience stack.
By merging behavioral data, embedded analytics, and automated guidance, Pendo is helping companies shift from reactive reporting to proactive enablement. For SaaS and enterprise teams navigating growth, retention, and product-market fit, Pendo Predict offers a new way to work—faster, smarter, and more personalized.
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Rich Tehrani serves as CEO of TMC and chairman of ITEXPO #TECHSUPERSHOW Feb 10-12, 2026 and is CEO of RT Advisors and is a Registered Representative (investment banker) with and offering securities through Four Points Capital Partners LLC (Four Points) (Member FINRA/SIPC). He handles capital/debt raises as well as M&A. RT Advisors is not owned by Four Points.
The above is not an endorsement or recommendation to buy/sell any security or sector mentioned. No companies mentioned above are current or past clients of RT Advisors.
The views and opinions expressed above are those of the participants. While believed to be reliable, the information has not been independently verified for accuracy. Any broad, general statements made herein are provided for context only and should not be construed as exhaustive or universally applicable.
Portions of this article may have been developed with the assistance of artificial intelligence, which may have contributed to ideation, content generation, factual review, or editing.
