Take control of data quality before it controls your business.
Qualytics infers 95% of your data quality rules from observed data behavior and continuously adapts as that behavior changes. Your teams guide governance with business context, delivering broad coverage without the manual effort that limits most programs.
Why augmented data quality?
Qualytics is augmented, not autonomous: AI infers and maintains the majority of your rules while your teams guide governance with business context. Every capability is built for the people who own data quality, not just the people who write SQL. Low-code interfaces and natural language make the platform accessible across the team.
Profile and understand your data
Qualytics connects to your data sources and profiles how your data behaves, unifying structural and behavioral metadata into field profiles that establish a baseline from day one. Segmented profiling slices results by tenant, region, or any dimension, exposing issues that only appear in a subset of the data.
Benefits
Automated structural profiling across every field
Behavioral baselines generated from observed patterns over time
Structural and behavioral metadata unified into field profiles with historical trend tracking
Group-by profiling for multi-tenant and segmented views
Generate and maintain coverag
Automated rule inference delivers broad coverage from day one, while business SMEs extend it through guided low-code authoring for complex logic like entity resolution or cross-system reconciliation. AgentQ adds a conversational interface, letting teams author rules, investigate anomalies, and manage governance through natural language.
Benefits
Auto-suggested rules from profiling metadata and observed behavior
50+ prebuilt rule types from simple validations to complex reconciliations
Low-code and no-code rule authoring for business and data teams
Reusable templates with centrally governed configuration, applied across datasets
Dry run validation to test rules against production data before promotion
Continuously monitor quality
Qualytics monitors structural and behavioral signals as data moves through pipelines and schemas, detecting anomalies closer to the source before bad data spreads downstream. As teams review and resolve anomalies, their feedback refines detection over time.
Benefits
Anomaly lifecycle management with status, ownership, severity, and resolution tracking
Time-series monitoring for metric and volume trends with deviation alerting
Human-in-the-loop feedback that refines rules and detection over time
AgentQ for conversational anomaly investigation and triage
UI and API-enabled monitoring for collaborative workflows
Act on quality signals
Every anomaly includes context that pinpoints what changed and which records are affected. No-code flows route incidents to the right owners and trigger remediation through Jira, ServiceNow, Slack, or Teams. Flows can also halt data propagation by pausing jobs or gating promotion steps. These same quality signals power the controls that copilots and agents rely on.
Benefits
Clear ownership and accountability for every anomaly
Impact context with anomaly weight, failed rules, and affected source records
Automated remediation through flows and integrations
Enrichment datastore that maintains a governed audit trail from anomaly to resolution
Profile and understand your data
Problem
Qualytics connects to your data sources and profiles how your data behaves, unifying structural and behavioral metadata into field profiles that establish a baseline from day one. Segmented profiling slices results by tenant, region, or any dimension, exposing issues that only appear in a subset of the data.
Solution
Qualytics gives teams a trustworthy day-one view of data structure and behavior.
The platform scans every container and field, then unifies structural and behavioral metadata into Field Profiles that establish a day-one baseline and refresh continuously as data changes. Teams find hidden issues in hours, not weeks, and prevent downstream rework. Segmented profiling breaks results out by tenant, region, segment, or any dimension, exposing issues that only surface in a slice of the data.
Automated Structural Profiling
Profile every record to identify field types, formats, nullability, cardinality, and structural patterns, giving you an accurate understanding of how data is really structured
Behavioral Baseline Generation
Learn expected behavior by observing distributions, ranges, volumes, and relationships over time, establishing historical norms that drive anomaly detection, and supports inferred rules and thresholds
Metadata Unification & Enrichment
Consolidate structural and behavioral metadata into unified Field Profiles and store them so teams can analyze trends and track data quality across systems over time
Group By Profiling (Multi-Tenant & Segmented Views)
Automatically break profiles down by tenant, region, segment, or any dimension you choose
“We have a 239M row consumer dataset with 4,000 columns, with a lot of hidden issues we didn’t know about until we automated data profiling.”
The Results
Why enterprises choose Qualytics for data quality
20k+
rules in production per average customer
95%
of rules automated through AI inference
20+
business SMEs actively engaged per customer
How we help
Data Quality for Every Business Need
For AI Agents
All your data checks and quality KPIs in one place.
For Machine Learning
All your data checks and quality KPIs in one place.
For Reporting and Analysis
All your data checks and quality KPIs in one place.
For Data Products
All your data checks and quality KPIs in one place.
For Data Warehouses and Lakes
All your data checks and quality KPIs in one place.
For Regulatory Compliance
All your data checks and quality KPIs in one place.
For Business Processes
All your data checks and quality KPIs in one place.
Frequently Asked Questions
Ready to trust your KPIs?
Qualytics shows which KPIs are reliable and catches issues early before dashboards go off track.
