Trust what you deliver
Data catastrophes happen.
Your team can now anticipate them and scale up.
Datastrophes happen. Often.
Structural changes, missing values, old data, inefficient AI models, migration of sources ... Data catastrophes - also known as "datastrophes" - can drastically impact the efficiency of your work and the confidence in your data projects' outcomes.
How can your data usage scale if its quality cannot be guaranteed?
How can you justify large investments in data if it may not be reliable?
How can teams work together efficiently if data keeps breaking along the chain?
How can you make the right decisions if you can’t fully trust your data?
What about observability?
Data and analytics observability is about real-time tracking and measuring of your data usage performance across systems, projects and applications.
Simultaneously, it can enrich your data management ecosystem by sharing lineages, schemas and quality information with data catalogs, glossaries and incident management systems.
Observability is for everyone
For Data Scientists
Remain confident about the models in production by being notified as soon as performance is deviating.
For Heads of Data
Increase the productivity of your team by reducing the resources required to maintain existing data applications.
For Data Engineers
Save time and trouble by easily increasing your visibility and control over data in production.
Increase your trust in existing reports by being immediately alerted as soon as data quality is out of range.
We've got your back
Because security matters to us and to our clients, we are SOC 2 compliant.
We provide an on-premise solution for corporations with specific needs.
You can benefit from all our features with a highly secured cloud solution.