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Checksum.aiAI coding tools have fundamentally changed how software gets built. Developers are shipping more code, faster, with less friction than ever before. But the organizations benefiting most from AI-accelerated development are running into the same wall: quality hasn't kept pace. More code means more surface area for bugs. More PRs means more review burden on senior engineers. More releases means more chances for regressions to reach customers. The bottleneck has moved from writing code to verifying it, and verification is still largely manual. Checksum is a continuous quality platform built for this reality. Its suite of AI agents autonomously generates, runs, and maintains tests across every layer of the software development lifecycle: end-to-end UI flows, API endpoint coverage, and PR-level CI validation, so engineering teams can move fast without sacrificing reliability. What sets Checksum apart: it doesn't wait for instructions. It works as a background agent, continuously monitoring your codebase, generating tests for what matters, and repairing broken tests as the product evolves. Seventy percent of test failures resolve automatically, eliminating the maintenance burden that causes most test suites to decay and get abandoned. Every test Checksum produces is real, Playwright code you own, submitted as a PR to your repository. No vendor lock-in. Teams keep full control. Checksum is fine-tuned on 1.5+ million test runs and integrates natively with Cursor, Claude Code, and 100+ AI coding agents via /checksum slash commands. Testing happens before code review, not after. Generation and healing run on Checksum's cloud, consuming no LLM tokens or local resources. The bottom line: Checksum gives engineering teams the confidence to ship at the speed AI makes possible.
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QA WolfQA Wolf empowers engineering teams to achieve an impressive 80% automated test coverage for end-to-end processes within a mere four months. Here’s what you can expect to receive, regardless of whether you need 100 tests or 100,000: • Achieve automated end-to-end testing for 80% of user flows in just four months, with tests crafted using Playwright, an open-source tool ensuring you have full ownership of your code without vendor lock-in. • A comprehensive test matrix and outline structured within the AAA framework. • The capability to conduct unlimited parallel testing across any environment you prefer. • Infrastructure for 100% parallel-run tests, which is hosted and maintained by us. • Ongoing support for flaky and broken tests within a 24-hour window. • Assurance of 100% reliable results with absolutely no flaky tests. • Human-verified bug reports delivered through your preferred messaging app. • Seamless CI/CD integration with your deployment pipelines and issue trackers. • Round-the-clock access to dedicated QA Engineers at QA Wolf to assist with any inquiries or issues. With this robust support system in place, teams can confidently scale their testing efforts while improving overall software quality.
What is evoML?
evoML significantly boosts the development efficiency of high-quality machine learning models by streamlining and automating the entire data science workflow, allowing the transformation of raw data into actionable insights in just days instead of weeks. It manages essential functions such as automated data transformation, which detects anomalies and corrects imbalances, implements genetic algorithms for effective feature engineering, runs simultaneous assessments of various model alternatives, optimizes using multi-objective criteria tailored to specific metrics, and leverages GenAI technology for the creation of synthetic data, proving invaluable for rapid prototyping while ensuring compliance with data privacy laws. Users retain full ownership and the ability to adjust the generated model code, which supports the seamless deployment of models as APIs, databases, or local libraries, thereby avoiding vendor lock-in and fostering transparent, traceable processes. Moreover, evoML equips teams with intuitive visualizations, engaging dashboards, and comprehensive charts that help in identifying trends, outliers, and anomalies across different contexts, such as fraud detection, time-series forecasting, and anomaly detection. By incorporating these powerful features, evoML not only speeds up the modeling journey but also empowers users to confidently engage in data-driven decision-making. Ultimately, this innovative platform fosters a more efficient and effective approach to leveraging data for strategic insights.
What is DataPortia?
DataPortia serves as an advanced on-premises platform for capturing and reporting industrial data, boasting integrated AI analytics capabilities. It effortlessly connects with a variety of automation systems using the OPC UA protocol, which is compatible with brands like Siemens, ABB, Valmet, Beckhoff, Schneider, Honeywell, and Rockwell, enabling the acquisition of over 2000 measurement points per second while storing time-series data in PostgreSQL or TimescaleDB.
Key features include:
- Dynamic real-time dashboards that showcase gauges, charts, bar graphs, and tables for enhanced data visualization.
- Interactive trend analysis powered by ECharts, which offers a drag-to-zoom functionality for improved user interaction.
- Comprehensive reporting features that allow data export in both CSV and PDF formats.
- The capability to automate report scheduling on a daily, weekly, monthly, or customized basis, optimizing operational workflows.
- AI-powered data analytics facilitated by a local Ollama LLM, which provides insights into anomalies, forecasts, cost efficiencies, and personalized reports, all independent of cloud reliance.
- Management capabilities for OPC UA alarms and conditions, alongside analytical tools and data export options.
- Direct access to read OPC UA history from the server's historian for streamlined data retrieval.
- Support for calculation circuits, accommodating both cumulative and non-cumulative formulas to satisfy a range of analytical requirements.
- Features that enable the transferring, copying, and merging of tags across connections, which enhances data management flexibility.
- A robust TimescaleDB time-series database designed for efficient data storage and retrieval, ensuring the effective handling of large datasets.
Overall, this extensive array of functionalities establishes DataPortia as an essential resource for contemporary industrial data management, making it integral to the optimization of operations and decision
Integrations Supported
AADvance Control System
ABB Ability System 800xA
AVEVA InTouch HMI
CitectHMI
SIMATIC HMI
SIMATIC PCS 7
SIMATIC PCS neo
SIMATIC SCADA
SIMATIC STEP 7
SIMATIC WinCC
Integrations Supported
AADvance Control System
ABB Ability System 800xA
AVEVA InTouch HMI
CitectHMI
SIMATIC HMI
SIMATIC PCS 7
SIMATIC PCS neo
SIMATIC SCADA
SIMATIC STEP 7
SIMATIC WinCC
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
4000€/one-time
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
TurinTech AI
Date Founded
2018
Company Location
United Kingdom
Company Website
www.turintech.ai/evoml
Company Facts
Organization Name
Atorcom
Date Founded
2018
Company Location
Finland
Company Website
atorcom.fi/en/dataportia-opc-ua-reporting-software
Categories and Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
