This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Mimasa AI
End-to-end enterprise data ops automation using agentic AI
We started Mimasa AI after seeing the same problem again and again: businesses had ERP, CRM, dashboards and plenty of data, but people were still doing a lot of the work between these systems manually.
So we started building AI that doesn't just answer questions, it actually gets the work done.
Today, we’re excited to launch Mimasa AI on Product Hunt.
Would love to hear what you think and what’s one workflow you wish AI could take off your plate?
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About Mimasa AI on Product Hunt
“End-to-end enterprise data ops automation using agentic AI”
Mimasa AI was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #149 on the daily leaderboard. End-to-end Agentic Automation for enterprises. Unify data, reason with AI agents, and execute work across 180+ systems — from a single platform.
Mimasa AI was featured in Analytics (173.6k followers), SaaS (44.1k followers) and Artificial Intelligence (478.1k followers) on Product Hunt. Together, these topics include over 191.9k products, making this a competitive space to launch in.
Who hunted Mimasa AI?
Mimasa AI was hunted by Tarun Tyagi. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Mimasa AI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Tarun Tyagi