Salesforce Acquired Data Startup Loops for $30 Million
The enterprise software giant has signed a deal to integrate the startup's machine learning tools into its Tableau platform.
Updated on Oct. 12, 2026 in Artificial Intelligence
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Salesforce has entered into a definitive agreement to purchase Loops, a startup founded in 2020 that specializes in tracking business performance metrics through machine learning. The deal is valued at an estimated $30 million.
Why it matters
The acquisition is designed to bolster the analytics capabilities of the Tableau platform by providing users with an automated system for monitoring key performance indicators. This integration aims to deliver actionable business insights directly to enterprise teams.
The Loops platform utilizes machine learning to continuously track business KPIs and distribute insights through tools like Slack. The system automatically connects to enterprise data sources to identify metrics and suggest recommended actions for users.
The players
Salesforce
Salesforce is a global provider of cloud-based customer relationship management software and enterprise applications.
Loops
Loops is an Israeli startup that developed an automated platform for monitoring business performance using machine learning.
Tableau
Tableau is a data visualization and business intelligence platform that was acquired by Salesforce in 2019.
Tom Laufer
Tom Laufer is a co-founder of the Israeli startup Loops.
Ido Adiv
Ido Adiv is a co-founder of the Israeli startup Loops.
The details
By folding Loops technology into the broader Tableau ecosystem, Salesforce aims to automate the observation of performance data. The software pulls metrics from various enterprise sources to provide timely analytics directly within internal collaboration platforms.
Timeline
Loops was founded in 2020.
Salesforce announced the acquisition agreement on October 12, 2026.
The acquisition is expected to close in early November 2026.
The Tech Race
The integration of automated KPI tracking into the Tableau data visualization platform represents a push by enterprise software leaders to embed proactive AI into legacy analytics tools. This strategy shifts the focus from manual data reporting toward real-time, insight-driven decision systems.
Enterprise users can expect to see new automated insights appearing within their existing Tableau and Slack workflows once the integration is complete. These updates aim to reduce the time spent manually monitoring performance metrics by surfacing actionable data automatically.
The takeaway
Businesses looking to improve data agility should prepare for more AI-driven automation tools becoming standard in their software suites. Incorporating these platforms can help teams identify operational shifts faster without needing manual oversight.
Further reading
For more on how companies are deploying similar tools, explore the latest trends in Artificial Intelligence.
Source note: This article includes information reported by Crypto Briefing.
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