Qualytics
Qualytics is an Atlanta-based enterprise data quality software company that uses AI to auto-generate and maintain data quality rules, delivering validate-at-use controls for financial services and AI-first enterprises via its Data Control Layer, AgentQ, and Agentic API.
- Company typePrivate
- Founded2020
- HeadquartersAtlanta, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Qualytics does
Qualytics is an Atlanta-based, venture-backed enterprise data quality software company founded in 2020 by CEO Gorkem Sevinc and CTO Eric Simmerman. The company sells an AI-augmented data quality platform that automatically infers and maintains over 95% of data quality rules using machine learning, then delivers those rules as real-time, validate-at-use controls wherever data is consumed by humans, analytics, or AI systems. Core products include the Augmented Data Quality Platform, the Data Control Layer (for governing context AI systems use when reasoning and executing automated decisions), AgentQ (natural language interface for quality governance), Data Lineage, Flows (remediation workflow orchestration), Check Templates, Computed Joins, and an Agentic API and MCP Server that expose quality signals to external AI agents and copilots.
The platform is built on a Spark-based architecture and integrates natively with Databricks, Snowflake, Atlan, Collibra, Microsoft Purview, DataHub, Slack, Microsoft Teams, Jira, ServiceNow, and other components of the modern data stack. It is SOC 2 Type II certified and supports air-gapped deployments for regulated environments. Qualytics targets primarily Fortune 500 financial services firms across banking, insurance, and alternative asset management, with secondary traction in healthcare (Wellstar), energy (AES), credit intelligence (Octus), and food/consumer (Chéré). Documented customer outcomes include 18x-20x year-one ROI, 80-95% reduction in manual reconciliation, and six- to seven-figure savings per deployment.
Revenue comes from annual enterprise SaaS subscriptions with quote-based pricing, supported by a hybrid go-to-market that combines field-led enterprise sales, a 30-day free trial with forward-deployed engineer support, and native marketplace distribution (Databricks). The company has raised approximately $16.7 million total across a 2021 pre-seed/early round, a December 2022 seed of $2.5 million led by Tech Square Ventures, an April 2024 round of $1.25 million, and a $10 million Series A in June 2025 led by BMW i Ventures.
Qualytics firmographics
Firmographics- Name
- Qualytics
- Legal name
- Qualytics, Inc.
- Website
- https://qualytics.ai
- Company type
- Private
- Founded year
- 2020
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Qualytics is an Atlanta-based enterprise data quality software company that uses AI to auto-generate and maintain data quality rules, delivering validate-at-use controls for financial services and AI-first enterprises via its Data Control Layer, AgentQ, and Agentic API.
- Ownership category
- akta.pro rank
Qualytics industry classification
Industry- Product category
- Data Quality Software
- NAICS
- Software Publishers (5132)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Business Rules & Decision Management Platforms (BRMS/DMN) (HDAEAKAG)
- akta.pro secondary industries
- Model Governance, Approval Workflows & Auditability (HDAAABAJ), Business Rules Management Systems (BRMS) & Decision Automation (HDAEAHAE)
Keywords
Where Qualytics is headquartered
LocationHeadquarters
- HQ city
- Atlanta
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Qualytics business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations
Revenue model
- SaaS Subscription: Enterprise subscription model for data quality platform access, likely tiered by data volume, number of rules, or team size. Platform is deployed both cloud and on-premise (air-gapped) for regulated environments.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise tier - full platform access |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels7 records
Qualytics product offering
Product offeringCore offering
Qualytics provides an AI-augmented data quality platform that automatically infers and maintains data quality rules, validates data at the point of use through a Data Control Layer, and delivers real-time quality signals to humans, AI systems, and analytics workflows. The platform combines machine-learning-based rule generation, a low-code interface, data lineage, and remediation workflow orchestration for enterprise data governance.
Product overview
Qualytics offers an augmented data quality platform for enterprises, built as a unified architecture centered on its core Augmented Data Quality Platform. The platform uses AI to automatically infer and maintain data quality rules while enabling human teams to guide governance with business context. Key product modules include the Data Control Layer (for validated-at-use controls across AI and analytics), AgentQ (natural language interface for governance), Data Lineage (provenance tracking), Flows (remediation workflow orchestration), and the Agentic API/MCP Server (enabling external AI systems to access quality controls). The platform operates as a shared foundation for business teams, data teams, and AI systems, with validate-at-use controls delivered wherever data is consumed. Additional offerings include Check Templates and Computed Joins for scalable rule management, Profiles Over Time for change visibility, and integrations with data catalogs (Collibra, DataHub, Microsoft Purview, Atlan) and data warehouses (Databricks, Snowflake). The company also provides free tools including a Data Quality Maturity Assessment and Cost of Bad Data Calculator.
Differentiator
Problem solved
Functional benefit
Products and services
- Qualytics Augmented Data Quality Platform The central AI-augmented data quality platform that automatically generates and maintains data quality rules using machine-learning inference. Connects to enterprise data sources, profiles data behavior, and produces governed quality signals for humans, AI systems, and analytics.
- Data Control Layer A product layer that enables validated-at-use data quality, where data is evaluated before it drives decisions and applied as real-time controls for AI systems, analytics, and human workflows.
- Data Lineage Traces every quality signal to its source with live anomaly counts woven into the graph, providing visibility into data provenance and how quality signals propagate through the data ecosystem.
- Flows Remediation workflow orchestration feature that chains connected steps running automatically when triggered, from scanning data and profiling tables to alerting teams when issues occur.
- Agentic API API enabling external AI systems and agents to invoke data quality actions in automated workflows, including triggering scans and checks, retrieving quality scores and anomaly context, and initiating remediation workflows.
- MCP Server Model Context Protocol server enabling external AI systems, copilots, and agents to access data quality controls and signals in automated workflows.
- 30-Day Free Trial Trial program including a configured working environment on customer data, auto-generated quality rules, validate-at-use controls, AgentQ access, a scoped success plan, and direct access to a forward-deployed engineer.
Quantifiable outcome
- 20x ROI in year one by automating over 20K data-quality rules
- +5 more outcomes
Companies that use Qualytics
Customer profileNamed customers10 records
Segments5 records
Ideal customer profiles1 record
Qualytics technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration31 records
AI capability8 records
Feature9 records
Qualytics partnerships and signals
Strategic signalPartnerships
13 partnerships are on record, tiered core and supporting.
- DatabrickscoreTechnology partnership enabling organizations to run Qualytics natively on the Databricks Data Intelligence Platform. Integration provides automated rule creation, adaptive intelligence, and deep row-level anomaly detection while keeping customer data within the Databricks environment. Available for existing Databricks customers to deploy within hours.
- AtlancoreIntegration with Atlan data catalog enabling unified metadata management, quality monitoring, and collaborative data governance workflows. Automatically synchronizes Atlan with Qualytics metadata including asset URLs and Data Quality Scores viewable directly in Atlan.
- CollibrasupportingCatalog integration expanding Qualytics' data catalog ecosystem to surface data quality scores, anomalies, and health indicators within Collibra.
- Microsoft PurviewsupportingCatalog integration enabling data quality insights to be available within Microsoft Purview for governance and data discovery.
- DataHubsupportingCatalog integration expanding Qualytics' data catalog ecosystem.
- SnowflakecoreNative integration with Snowflake enabling customers to point Qualytics directly at Snowflake environments for profiling, validation, and monitoring of data where it already lives.
- SlacksupportingSlack integration for direct communication with end users and real-time notifications when data quality issues are detected.
- Microsoft TeamssupportingMicrosoft Teams integration for receiving real-time data quality notifications and system health updates.
- JirasupportingTicketing integration enabling tracking and management of data quality anomalies within existing Jira workflows.
- ServiceNowsupportingEnterprise ticketing integration for managing data quality anomalies within ServiceNow workflows.
- GooglesupportingGoogle performs email delivery on behalf of Qualytics as a service provider.
- OktasupportingOkta stores end-user credentials and facilitates user authentication federation as applicable to end-user's specific deployment configuration.
- Grafana LabssupportingGrafana Labs aggregates and stores logs which may include IP addresses for Qualytics-managed deployments.
Scale indicators13 records
Recent moves7 records
Expansion highlights6 records
Qualytics competitors and assessment
Company assessmentBroad incumbents
- Informatica: Enterprise data integration and data quality leader with a broad platform spanning profiling, cleansing, and governance. Comparable as a direct competitor for enterprise data quality budgets, though Informatica sells a much wider portfolio beyond Qualytics' AI-augmented rule inference niche.
- Collibra: Enterprise data catalog and governance platform that Qualytics integrates with. Overlaps with Qualytics in data quality scoring and governance, but Collibra's broader catalog-first approach competes for the same CDO budget across Fortune 500 financial services accounts.
- Talend (Qlik): Data integration and data quality suite now part of Qlik, offering profiling, cleansing, and governance at enterprise scale. Overlaps with Qualytics in traditional data quality tooling, particularly for regulated industries on legacy estates.
- Alation: Data catalog and intelligence platform with data quality and governance capabilities. Competes for CDO budget in the same Fortune 500 financial services segment as Qualytics, with a catalog-first rather than validate-at-use approach.
Direct peers
- Ataccama: AI-augmented data quality platform offering automated rule discovery, profiling, and master data management. The closest direct competitor to Qualytics, serving similar regulated enterprise customers with ML-driven data quality and governance.
- Monte Carlo: Data observability and reliability platform focused on anomaly detection and pipeline monitoring. Competes with Qualytics for data trust budgets in modern data stack deployments, though with a stronger emphasis on observability rather than rule-based validation.
Emerging players
- Great Expectations: Open-source data validation framework with a commercial cloud offering for data quality testing and documentation. Targets the same data engineer buyer as Qualytics but relies on user-authored expectations rather than AI-inferred rules.
- Soda: Data quality and observability platform with checks-as-code and automated monitoring. Competes for similar modern data stack buyers, with Soda emphasizing developer-led workflows versus Qualytics' AI-augmented rule inference.
- Anomalo: AI-driven data quality platform that automatically detects data issues without requiring rules. Closest emerging competitor to Qualytics' AI-inferred rule approach, with overlap in Fortune 500 enterprise data trust use cases.
- Datafold: Data observability and reconciliation platform with diff-based testing and monitoring. Comparable to Qualytics in reconciliation and cross-source validation use cases, particularly for analytics engineering teams on modern data stacks.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Qualytics social profiles
Digital presenceQualytics compliance and trust
Trust signalCompliance2 records
Qualytics financial estimates
Financial estimateRevenue estimate
Valuation estimate
Qualytics leadership team
Management profileNumber of profiles
Profiles3 records
Qualytics funding detail
Funding detailFunding overview
Funding rounds4 records
Investors15 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Qualytics M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Qualytics
What does Qualytics do?
Qualytics provides an AI-augmented data quality platform that automatically infers and maintains data quality rules, validates data at the point of use through a Data Control Layer, and delivers real-time quality signals to humans, AI systems, and analytics workflows. The platform combines machine-learning-based rule generation, a low-code interface, data lineage, and remediation workflow orchestration for enterprise data governance.
Is Qualytics a public or private company?
Qualytics is a private company. It is classified as venture growth investor backed and is currently operating.
When was Qualytics founded?
Qualytics was founded in 2020. It employs 11 to 50 people.
Where is Qualytics based?
Qualytics is headquartered in Atlanta, United States, in the North America region.
How does Qualytics make money?
One revenue line is on record: saaS Subscription.
Who are Qualytics's main competitors?
Broad incumbents on record are Informatica, Collibra, Talend (Qlik) and Alation. Direct peers are Ataccama and Monte Carlo. Emerging players are Great Expectations, Soda, Anomalo and Datafold.
Does Qualytics have an API?
Yes. Qualytics offers an Agentic API that enables external AI systems and agents to invoke data quality actions in automated workflows, including triggering scans and checks, retrieving quality scores and anomaly context, and initiating remediation workflows. Additionally, an MCP (Model Context Protocol) server is available for integrating with AI agents and copilots. Developer documentation is at userguide.qualytics.io.
What industry is Qualytics in?
Qualytics's product category is Data Quality Software. Its primary akta.pro industry code is HDAEAKAG, Business Rules & Decision Management Platforms (BRMS/DMN), with a secondary code of HDAAABAJ, Model Governance, Approval Workflows & Auditability. Its NAICS code is 5132 and its SIC code is 7372.