Dignadigna GmbH
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evoMLTurinTech AI
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Related Products
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About
digna is a data quality and observability platform designed to monitor, analyze, and validate data directly within enterprise data environments.
It combines anomaly detection, time-series analytics, and validation into a unified system that helps teams detect issues early and understand how data behaves over time.
Core Capabilities
* Data Anomaly Detection
Identifies changes in data volume, distribution, and behavior using statistical methods and AI-driven models without relying on manually defined rules.
* Time-Series Analytics
Built-in analytical methods (regression, pattern detection, seasonality analysis) allow users to interpret trends and deviations directly within the platform.
* Data Timeliness Monitoring
Tracks expected data arrival times and identifies delays across pipelines and data flows.
* Data Validation
Supports rule-based validation with reusable templates and centralized definitions of allowed values.
* Schema Change Tracking
Detects structural changes in dat
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About
evoML accelerates the creation of production-quality machine learning models by streamlining and automating the end-to-end data science workflow, transforming raw data into actionable insights in days instead of weeks. It automates crucial steps, automatic data transformation that detects anomalies and handles imbalances, feature engineering via genetic algorithms, parallel model evaluation across thousands of candidates, multi-objective optimization on custom metrics, and GenAI-based synthetic data generation for rapid prototyping under data-privacy constraints. Users fully own and customize generated model code for seamless deployment as APIs, databases, or local libraries, avoiding vendor lock-in and ensuring transparent, auditable workflows. EvoML empowers teams with intuitive visualizations, interactive dashboards, and charts to identify patterns, outliers, and anomalies for use cases such as anomaly detection, time-series forecasting, and fraud prevention.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Data warehouses, data lakes, data lakehouses, banks, retail, hospitals
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Audience
Data scientists, ML engineers and business analysts requiring a solution to build, optimize and deploy production-grade machine learning models from their existing data with minimal manual effort
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Not Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Supported
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Company Informationdigna GmbH
Founded: 2019
Austria
www.digna.ai
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Company InformationTurinTech AI
Founded: 2018
United Kingdom
www.turintech.ai/evoml
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Categories |
Categories |
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Data Quality Features
Address Validation
Supported
Data Deduplication
Supported
Data Discovery
Supported
Data Profililng
Supported
Master Data Management
Supported
Match & Merge
Supported
Metadata Management
Supported
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Integrations
IBM Netezza Performance Server
Supported
MariaDB
Supported
MySQL
Supported
PostgreSQL Maestro
Supported
SAP HANA
Supported
SQL Server
Supported
Snowflake
Supported
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Integrations
IBM Netezza Performance Server
Not Supported
MariaDB
Not Supported
MySQL
Not Supported
PostgreSQL Maestro
Not Supported
SAP HANA
Not Supported
SQL Server
Not Supported
Snowflake
Not Supported
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