Typo

Typo is a cloud-based AI data quality service for enterprise data and analytics teams that detects and helps correct errors at the point of data entry and when scanning stored data.

Key capabilities include:

• Real-time validation at origin: monitors data in motion as it enters systems, notifies the user or source when an issue is detected, and prompts immediate correction before errors propagate.
• ML-based anomaly detection without manual rules: learns from observed records and user responses, supports multi-variant analysis to flag contextual outliers across related fields.
• Duplicate prevention and pattern recognition: uses proximity matching to reduce duplicates and enforces consistent formats by identifying expected patterns.
• Data-at-rest scanning and profiling: scans data sources to generate shareable error profiles and reports, considering relationships between entities.

Pricing: Not publicly listed.

What makes it notable is its proactive approach, it focuses on preventing bad data from being saved in the first place, plus lightweight deployment options such as one-line HTML monitoring for web apps and support for HTTP/HTTPS data from browser-accessed third-party applications (with Slack integration for workflows).