Product Avatar Image

Kyvos Insights

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

Profile Name

Star Rating

279
8
1
0
0

Kyvos Insights Reviews

Review Filters
Profile Name
Star Rating
279
8
1
0
0
HP
Hemant P.
06/02/2026
Validated Reviewer
Review source: Organic

Kyvos Semantic Layer Makes Complex Financial Data Modeling Much Easier

We deal with complex financial data with multiple levels and dependencies and earlier it took a lot of effort to model and maintain that structure. With Kyvos semantic layer, it’s easier to handle those layers without breaking things into smaller pieces.
LD
Lavina D.
05/13/2026
Validated Reviewer
Review source: Organic

Kyvos Keeps Reports Fast and Responsive on Large Datasets

We were using TM1 earlier and one thing I noticed after moving to Kyvos is how much easier it is to work with larger datasets. With Kyvos semantic layer, reports stay responsive even as data size and complexity increase.
SS
Sujal S.
05/12/2026
Validated Reviewer
Review source: Organic

Kyvos Unified Our Business Logic with a Single Semantic Model

One thing I appreciate is that we can represent fairly complex business structures in one place. Previously, we had business logic spread across multiple models and reports. That made updates harder and introduced inconsistencies when metrics changed. With Kyvos, we moved that logic into a single semantic model, which reduced duplication and made it easier to support cross-domain analysis.

About

Contact

HQ Location:
Los Gatos, CA

Social

@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