Ratatype is a typing learning platform.
- 13 years on the market.
- 6 million users per year from more than 30 countries around the world.
- 10 language versions: English, French, Spanish, Italian, Polish, Turkish, Portuguese, Dutch, Ukrainian, and German.
Audience: schoolchildren, teachers, students, and adults who need to type quickly for work and personal development.
Main Ratatype products
- Keyboard typing tutor
10 language versions + several different courses by difficulty level. Each course has an average of 15 to 22 lessons. Each lesson includes 10–20 exercises.
Users learn how to position their hands on the keyboard, type at a set rhythm, and type without looking at the keyboard.
After completing a course, users receive a course completion certificate that can be added to LinkedIn.
- Typing speed test
No registration is required to take the test. Users can take the test as many times as they want in any of the 10 languages.
After registering, users can also purchase a certificate confirming their typing speed, which can then be attached to a CV, added to LinkedIn, or provided to an employer.
- Typing games: Ratashooter and Ratarace. By playing the games, users practise their typing speed. At this stage, registration is not required.
- Keyboard test.
- Words counter.
A NoSQL database service with on-demand throughput and storage based provisioning that supports JSON, Table and Key-Value datatypes, all with flexible transaction guarantees.
Experian's Data Profiling solution enables businesses to thoroughly analyze and understand their data, uncovering valuable insights that drive efficiency and profitability. By examining data in detail, organizations can identify and rectify errors, discover hidden patterns, and optimize their operations.
Key Features and Functionality:
- Comprehensive Data Analysis: Conducts over 60 statistical tests to assess data quality, including identifying outliers and data-type mismatches.
- Customizable Validations: Allows users to add their own validations through an intuitive interface, with auto-suggested validations based on the data profile.
- Visualization Tools: Provides easy-to-interpret charts and reports to monitor data quality improvements over time.
- Data Prototyping: Enables the creation of working models to better manage and utilize data.
Primary Value and Solutions Provided:
Experian's Data Profiling addresses common data management challenges by:
- Troubleshooting Problems: Identifies and prevents data errors, such as formatting mistakes, allowing businesses to fix issues before they impact operations.
- Improving Efficiency: Uncovers valuable information to streamline processes, enhance marketing campaigns, and optimize deliveries.
- Saving Time: Analyzes vast amounts of information quickly, eliminating the need for time-consuming batch processing.
By leveraging this solution, organizations can maximize the potential of their data, leading to more informed decision-making and improved customer satisfaction.
Hazy is an enterprise-grade synthetic data platform designed to generate high-quality, privacy-compliant synthetic data that mirrors the statistical properties and relationships of original datasets. This enables organizations to utilize data for analytics, machine learning, and testing without exposing sensitive information.
Key Features and Functionality:
- Data Privacy and Security: Hazy ensures that sensitive data remains within the organization's environment, eliminating the need for data to leave its secure infrastructure.
- High-Quality Synthetic Data Generation: The platform produces synthetic data that preserves the statistical characteristics and referential integrity of the original data, ensuring its utility for various applications.
- Scalable Deployment Options: Hazy offers flexible deployment methods, including self-hosted options and integration with cloud services like AWS, allowing organizations to scale their synthetic data capabilities efficiently.
- User-Friendly Interface: With a no-code interface, Hazy enables both technical and non-technical users to generate synthetic data quickly and easily.
- Advanced Automation: The platform features enhanced and automated datatype detection, reducing manual configuration efforts and minimizing the risk of errors.
Primary Value and Problem Solved:
Hazy addresses the critical challenge of utilizing sensitive data while maintaining privacy and compliance with regulations. By generating realistic synthetic data, organizations can accelerate data-driven projects, enhance machine learning models, and conduct thorough testing without compromising data security. This approach not only safeguards sensitive information but also streamlines data access and collaboration across teams, fostering innovation and efficiency.
The Kainos HL7 Editor is a desktop application for teams who build and maintain HL7 v2 interfaces in healthcare and laboratory settings. It combines a version-aware HL7 v2 editor (v2.2 through v2.8.2) with a channel-based interface engine, live MLLP listeners, structure-preserving PHI anonymization, and an operations console, in one product.
The editor understands HL7 structure: it validates cardinality, datatype, table values, and usage flags in place, and names the segment, field, and spec clause behind every finding. A side-by-side diff highlights the fields that differ between two messages while ignoring whitespace, so integration engineers can find a real change fast. Templates, snippets, and segment-aware find-and-replace speed up repetitive editing work.
The interface engine adds a visual workflow graph for building channels: a source, a filter, a transformer, and one or more destinations, each with its own retry queue, backoff, and response handling. MLLP listeners run live with framed ACK handling, and the operations console shows per-destination throughput, latency, and error rates alongside rule-based alerts.
For PHI handling, three anonymization modes (basic, advanced, full) preserve message structure and referential integrity so the same identifier re-masks the same way every time. Role-based access (engineer, operator, admin, viewer) supports SSO via LDAP, OIDC, SAML, or trusted-header, and an append-only log records reads, edits, sends, transforms, and logins. The product is built with healthcare compliance in mind.
The HL7 Editor runs natively on Windows and macOS (Apple Silicon). Every feature is unlocked for a 7-day trial, no card required. Paid licenses are $49.99 per user per year for a limited time (regular price $149 per user per year), backed by a 30-day money-back guarantee.
Date Picker by Powerviz is an advanced Date slicer that lets you apply page-level filters to a date-type column. This slicer is highly customizable and user-friendly. It has the developer friendly wizard to build the visual with few clicks. It has all the advanced features such as default selection, presets, themes, and slicer sync mode, in addition to a range of customizations.