Sold by: Inferdat
Automated data quality frameworks that profile, validate, and monitor your data continuously. Every report and every AI output starts with data you can trust. Continuous profiling, anomaly detection, quality dashboards, and full lineage. Deploys in your AWS account.
Overview
76% of enterprises have made major decisions without consulting data because it was too hard to access or trust (Sisense 2025). The governance problem is not only about policy. It is about confidence. If the business does not trust the data, the analytics and AI built on top of it are unreliable regardless of how sophisticated they are.
Inferdat's Data Trust and Governance solution automates data quality at the platform level: continuous profiling, schema validation, referential integrity checks, freshness monitoring, and anomaly detection across the data layer. When data quality issues emerge, they surface immediately rather than when a report looks wrong in a board meeting.
Full lineage tracking connects every column and table to its source, its transformations, and the dashboards and AI systems that consume it. When a source changes, the downstream impact is visible. When an AI system starts producing unexpected outputs, data lineage is the first place to investigate.
All governance data, lineage metadata, and quality metrics stay in the customer's AWS account.
Highlights
- Continuous profiling and validation across your full data layer
- Automated anomaly detection and alerting to catch data issues before they reach reports
- Full lineage: trace every column from source to AI output
Details
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Deployed on AWS
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Inferdat provides direct email support to all customers at contact@inferdat.ai . Every inquiry is handled by our technical team, not a ticketing queue, and we stand behind every solution we ship.