Salesforce acquired Mulesoft in 2018 for $6.5B. It was a strategic move to streamline API-led connectivity and integration.
It’s great at connecting systems and unifying data from varied sources, a pre-requisite for the needs of AI adoption.
But it only addresses part of the challenge.
The big challenge now is around DATA QUALITY.
In the most recent attempt, Salesforce sought to fill that gap by acquiring Informatica.
Reports of an $11B+ acquisition surfaced a few weeks ago and this would have been a massive asset to Salesforce.
The reason is simple. AI requires more than just the seamless movement of data. You need high-quality, well-governed data.
And ETL is essential to accurately feed large data volumes into AI models.
So, while Mulesoft moves data extremely well, you need a tool like Informatica to handle data cleansing, profiling, cataloguing, and metadata management.
Unfortunately, disagreement on price seems to have derailed any acquisition.
In addition to the Informatica play, Salesforce Ventures is all eyes on AI.
The last 3 SFVC investments have all centered around AI:
This is EXACTLY what we need to see from Salesforce. They have one of the largest Enterprise SaaS customer bases in the world, market penetration across every single vertical, and an unmatched volume of data cumulatively living in Salesforce.
Now, it’s about identifying and integrating the missing pieces.