Acryl Data
Financials
Estimates*
USD | 2021 | 2022 | 2023 |
---|---|---|---|
Revenues | <1m | 1.5m | 3.1m |
% growth | - | 200 % | 107 % |
Date | Investors | Amount | Round |
---|---|---|---|
- | N/A | - | |
* | $21.0m | Series A | |
Total Funding | €19.1m |
Recent News about Acryl Data
EditAcrylData is a startup that operates in the data management sector, providing a comprehensive metadata platform known as Acryl Cloud. The platform is designed to bring clarity to data by combining a top-tier catalog with data observability. This means it helps businesses to organize, understand, and use their data more effectively. AcrylData's platform is built for both data producers and consumers, offering an intuitive user interface and fast time-to-value through Shift Left practices, which involve integrating testing into the earliest stages of project development.
The company's platform continuously detects data quality incidents in real-time and automates anomaly detection to prevent data breakages. When incidents do occur, the platform drives fast resolution. Acryl Cloud supports both push-based and pull-based metadata ingestion, ensuring that information is trustworthy, up-to-date, and definitive.
AcrylData's platform goes beyond simple visibility. It uses automated Metadata Tests to continuously expose data insights and surface new areas for improvement. It also reduces confusion and accelerates resolution with clear asset ownership, automatic detection, streamlined alerts, and time-based lineage for tracing root causes.
The company's business model is likely based on a subscription or usage-based pricing model, where clients pay for the services they use. AcrylData serves a broad range of clients, from technical teams needing a central resource to connect with non-technical teams, to businesses looking to monitor the health of their datasets and pipelines in real-time.
Keywords: Data Management, Metadata Platform, Data Quality, Anomaly Detection, Metadata Ingestion, Data Observability, Automated Metadata Tests, Asset Ownership, Data Lineage, Real-Time Monitoring.