FortressIQ

FortressIQ

Automation Anywhere
Kyvos Semantic Layer

Kyvos Semantic Layer

Kyvos Insights
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About

FortressIQ enables enterprises to decode work, transform experiences, and enhance workflows with the industry’s most advanced process intelligence platform. Using innovative computer vision and artificial intelligence, FortressIQ delivers unprecedented process insights, extremely fast, and with detail and accuracy unattainable with traditional methods. The platform autonomously acquires process data at scale even as processes extend across systems, empowering enterprises to understand, monitor, and improve operations, employee and customer experiences, and every business process. FortressIQ was founded in 2017, and is backed by Lightspeed Venture Partners, Boldstart Ventures, Comcast Ventures, Eniac Ventures, M12 and Tiger Global. Pinpoint inefficiencies and process variations continuously and automatically to reveal optimal process paths and reduce time to automation.

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

Companies searching for a solution to transform experiences, and enhance workflows

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

Automation Anywhere
Founded: 2017
United States
www.fortressiq.com

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

Artificial Intelligence Features

Chatbot
For eCommerce
For Healthcare
For Sales
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Business Process Management Features

Access Controls / Permissions
Alerts / Notifications
Business Process Automation
Business Rules Management
Collaboration
Process Change Tracking
Process Mapping
Process Modeling & Design
Visual Workflow Management

Computer Vision Features

Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

Data Discovery Features

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Deep Learning Features

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Machine Learning Features

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Natural Language Processing Features

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Robotic Process Automation (RPA) Features

Analytics
Attended Automation
Code-free Development
Image Recognition
Optical Character Recognition
Process Builder
Third Party Application Integration
Unattended Automation

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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