Fix data problems before they become business problems.
Qualytics replaces reactive firefighting with proactive, automated data quality that business and technical teams can own together. Protect your reports, AI models, and compliance checks from bad inputs and turn data trust into a strategic advantage.
The Problem
Data quality is a business problem,
trapped in technical tools
Every data leader knows the pattern: issues are discovered downstream, teams scramble to diagnose them, and fixes come long after the business has already made decisions on bad inputs. The risks keep growing, but traditional approaches can’t keep pace. Manual rule writing doesn’t scale, observability stops at pipeline health, and legacy suites take months to stand up basic rules.
The Solution
Enterprises demand data quality that can keep up
Broad coverage from the start, collaboration across business and data teams, infrastructure that scales, and trusted remediations. When these pieces work together, governance scales. Data issues are caught and actioned earlier—when they matter most.
Automated, Proactive, Continuous Monitoring
Qualytics learns how your data behaves and auto-generates 95% of your data quality rules on day one. The remaining business rules are quick to author with guided templates. Broad coverage that used to take months of manual work now takes minutes.
Built for Business & Data Teams
Qualytics gives analysts, engineers, governance leads, and business users a single workspace to refine rules and review anomalies together. Our simple low/no-code UI, flexible templates, LLM-assisted workflows, and a robust API removes bottlenecks and unlocks co-ownership of end-to-end data quality.
Trusted Remediation Workflows
Route issues to the right owners, trigger downstream actions, and keep the context needed to resolve problems quickly. Every step is tracked and auditable, giving teams clear control and the ability to improve detection over time without managing complex processes manually.
Enterprise-Grade Velocity & Scale
Deploy Qualytics in hours, not months. Our cloud-native, API-first architecture scales to enterprise volumes and fits cleanly across SaaS, on-prem, and hybrid environments. Teams get speed, flexibility, and governance without sacrificing control.
How We Work
Qualytics blends context, automation, and collaboration into a continuous, enterprise-ready data quality cycle. The platform learns your data, creates and maintains the right rules, and alerts the right teams before issues spread.
Step 1
Profile & Understand Your Data
Qualytics connects to your data sources and builds a deep profile of how your data behaves. It learns patterns, relationships, and expected formats so your teams start with a clear picture of what “normal” looks like across systems.
Step 2
Create & Maintain Rules
Using the profiles, Qualytics generates automated rules that cover 95%+ of your data quality needs. Business and technical users can add their own rules, unlocking full, contextual coverage without the heavy manual lift.
Step 3
Monitor & Validate Quality
The platform continuously evaluates your data against these rules. It surfaces anomalies—from basic schema drift to complex reconciliations and other data concerns —before they reach dashboards, downstream applications, or AI models.
Step 4
Notify & Remediate Issues
When something breaks, Qualytics opens an incident and alerts the right owners. Teams can investigate root causes, collaborate in their existing tools, and take corrective actions quickly. Every resolution strengthens future detection.
The Results
Why enterprises choose Qualytics for data quality
18x ROI
in year one, by automating over 20K data-quality rules
$3.67M
projected savings, reclaiming thousands of engineering hours
4x faster remediation
with 50+ business users resolving anomalies alongside data teams
1.5 FTEs
running a global DQ program, estimated 5x team efficiency
Get trusted data in hours,
not months
Join the companies using Qualytics to make data quality proactive, automated, and shared across business and data teams.
Discover more insights from the Qualytics team
8 Ways Banks Operationalize Data Quality with Qualytics
How banks use Qualytics to automate data quality controls, reduce operational risk, and build trust across reporting, reconciliation, and AI-driven decisions.
What We Delivered in 2025 to Empower Data Quality Teams in 2026
A look at the ten Qualytics features shipped in 2025, built to help data quality teams operate at scale and support AI, governance, and analytics.
Catching Hidden Data Quality Errors Before They Cost Millions: MAPFRE USA + Qualytics
MAPFRE USA’s adoption of Qualytics transformed their data quality program from reactive cleanup to proactive, automated, scalable governance and delivered measurable ROI in weeks.