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Kyvos Insights

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288 reviews
  • 1 profiles
  • 4 categories
Average star rating
4.8
Serving customers since
2014

Profile Name

Star Rating

279
8
1
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Kyvos Insights Reviews

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Profile Name
Star Rating
279
8
1
0
0
PJ
Pranjal J.
05/12/2026
Validated Reviewer
Review source: Organic

Kyvos Makes AI Answers Business-Aligned and Metric-Driven

What stood out to me is how with Kyvos semantic layer, AI responses feel more aligned with business contexts. Instead of just pulling from raw tables, answers reflect actual metrics that we already use. Kyvos also fits well with existing workflows, since teams don’t have to learn a new way of asking questions.
LC
Lokesh Kumar C.
04/20/2026
Validated Reviewer
Review source: Organic

Kyvos Made Our Dashboards Fast and Interactive Again

We started using Kyvos semantic layer mainly because our dashboards were getting slower as data volume increased. Some of our reports involve detailed drilldowns and performance would drop when users tried to explore beyond summary levels. After moving to Kyvos, those same dashboards feel noticeably faster and more interactive.
VM
vineeta m.
03/24/2026
Validated Reviewer
Review source: Organic

Kyvos Delivered Instant Speed Gains for Our Snowflake Queries

The biggest impact for us has been speed. Our data is on Snowflake, and in the past, we saw complex queries slowing things down particularly when lots of users queried the data. After implementing Kyvos, the difference was immediate. Even heavy, multi-dimensional queries return results in seconds.

About

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HQ Location:
Los Gatos, CA

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@KyvosInsights

What is Kyvos Insights?

Kyvos is a semantic layer for AI and BI. It gives enterprises a single, consistent, business-friendly view of their data for trusted AI and BI — eliminating metric drift across BI tools, and grounding AI in governed semantic context for higher accuracy. Kyvos delivers lightning-fast analytics at massive scale and high concurrency, including richer multidimensional analytics on the cloud, while helping organizations control costs without performance trade-offs.

Details

Year Founded
2014