Qualytics: Features, Software Overview & Case Studies
Control the context behind every decision.
Qualytics is an AI-powered data quality management platform for enterprises. It connects to databases, warehouses, and source systems to profile data, identify patterns, detect anomalies, and monitor quality continuously. The platform evaluates data as it is used, producing signals that help teams and systems determine whether information is fit for decisions, analytics, applications, and AI workflows.
Product
Qualytics
Founded
2020
Headquarters
United States
Funding stage
Series A
Founders
Eric Simmerman, Gorkem Sevinc
Last updated
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What Qualytics does
Qualytics uses AI to infer and maintain data quality rules as data changes, while business teams provide governance and define acceptable quality. Its low-code interface supports anomaly investigation, rule definition, and metadata exploration, and AgentQ provides natural-language access to governance capabilities. Quality signals can be applied in real time to allow, flag, or prevent actions. Copilots and agents can access these signals through MCP, APIs, and real-time interfaces. The company is based in the United States, was founded in 2020, and is a Series A company.
What it does
Qualytics core capabilities
Profile & Understand Your Data
Identifies data patterns, relationships, and expected structures.
Generate & Maintain Coverage
Infers and maintains quality rules as data evolves.
Continuosly Monitor Quality
Evaluates data against learned patterns and expectations.
Act on Quality Signals
Applies quality signals as controls wherever data is used.
AgentQ
Provides natural-language access to data governance.
Technical specifications
- AI-powered data quality management
- Database, warehouse, and source-system connections
- Real-time data surveillance
- Anomaly detection
- Data profiling
- Inference engine
- MCP and API access
- Low-code interface
Case studies
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