Kyvos Semantic Layer

Kyvos Semantic Layer

Kyvos Insights
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About

Graphwise is an AI platform that helps businesses automate knowledge and trust their AI by turning fragmented data into a trusted semantic backbone. The all-in-one suite makes generative AI reliable and scalable by transforming data into AI-ready, context-rich assets, deploying intelligent agent-based systems, and delivering powerful AI applications on an integrated platform. Graphwise moves beyond simple data chunks with Precise GraphRAG, using a governed knowledge graph to ground every response in verified facts, eliminate hallucinations, and provide accurate, actionable answers. It combines automated modeling, high-performance graph technology, semantic search, recommendation, taxonomy and ontology management, data automation, graph-based text mining, and enterprise-ready GraphRAG workflows. It supports use cases such as technical knowledge management, semantic digital twins, compliance intelligence, and scientific knowledge management.

About

Kyvos is a semantic layer for AI and BI. By standardizing how data is defined and understood, Kyvos gives organizations a single, consistent, business-friendly view of their entire data estate. The result: AI agents reason with governed context, BI tools report consistent metrics, and the business gets answers it can trust. Built for enterprise scale, Kyvos provides the speed, scale, and trust that production-grade AI and enterprise BI demand. It also maximizes analytics investments by reducing token consumption and cloud compute costs.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Enterprise AI, data, and knowledge management teams that need to connect complex data silos and build reliable, explainable AI applications grounded in verified facts

Audience

Data Analysts, Chief Data officers, Data teams, Analyst teams, business users

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

CPU/Core-Based
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 4.9 / 5
ease 4.7 / 5
features 4.7 / 5
design 4.8 / 5
support 4.8 / 5

Pros & Cons from Real Users

Pros

  • One of the reasons we selected the Kyvos semantic layer was its flexibility. Our analytics environment keeps evolving but our business definitions have remained in one place. That saved us from constantly rebuilding semantic models every time something changed.
  • One thing I really appreciate about Kyvos semantic layer is how it helps improve AI accuracy by exposing business-ready data instead of raw technical datasets. The semantic definitions create useful context that AI applications can leverage, which reduces the chances of generating misleading answers.
  • Our organization uses multiple data platforms, so interoperability was important for us. Kyvos semantic layer worked well across our cloud ecosystem and helped standardize analytics access without forcing us into a single BI stack. I also like that it connects with existing BI tools instead of requiring users to completely change their workflows.
  • We track campaign performance across channels and the questions keep changing as campaigns evolve. Kyvos semantic layer has helped us to quickly move from a high-level view to detailed insights. This is especially helpful when campaigns are running live.
  • We’re responsible for ensuring that data is used correctly across teams. Kyvos semantic layer standardizes how things are consumed which reduces the risk of inconsistencies showing up in reports.

Cons

  • After evaluating several platforms, this was one of the few that fit naturally into our existing architecture. We really haven't encountered any major drawbacks so far.
  • Using it for several months now and haven't run into any major limitations so far.
  • Cross-platform environments naturally involve additional coordination between infrastructure and analytics teams. Kyvos still handled that better than many solutions we evaluated.
  • It took a little time to get comfortable with it, but after that it’s been straightforward.
  • It felt a bit different at first compared to how we were working earlier, but it became easier once we got used to it.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Graphwise
Bulgaria
graphwise.ai/

Company Information

Kyvos Insights
Founded: 2015
United States
www.kyvosinsights.com

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Categories

Categories

Big Data Features

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Business Intelligence Features

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Integrations

Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
Azure Databricks
Cloudera
Delta Lake
Google Cloud BigQuery
Google Cloud Platform
Google Cloud Storage
Hadoop
Looker
Microsoft Azure
Microsoft Excel
Snowflake
Strategy ONE
Tableau

Integrations

Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
Azure Databricks
Cloudera
Delta Lake
Google Cloud BigQuery
Google Cloud Platform
Google Cloud Storage
Hadoop
Looker
Microsoft Azure
Microsoft Excel
Snowflake
Strategy ONE
Tableau
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