GDPR Compliance Platform

Data observability for continuous GDPR compliance

Qala connects to your cloud data warehouses and SaaS tools, classifies personal data fields in real time, and flags policy violations before your next audit — not after.

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Qala compliance dashboard showing personal data classification coverage and GDPR policy status
18 days Average DSAR response time — deadline is 30 days
94% Personal data field classification accuracy in prototype testing
120K EUR Upper cost of a manual GDPR data mapping exercise
67% Organizations that re-classify data manually at least once per year
Platform Capabilities

Built for privacy officers and data engineers — together

Five integrated capabilities that replace point-in-time audits with a continuously current view of your GDPR compliance posture.

Continuous data discovery visualization showing schema tree with classified personal data fields
01 — Discovery

Continuous Data Discovery

Always-on crawling of your data estate

Qala's discovery engine connects via read-only credentials to Snowflake, BigQuery, Redshift, and your SaaS tools — scanning schema metadata and classifying personal data fields on a configurable cadence. New tables and schema changes appear in your compliance map within hours, not months.

NLP classification engine showing column-level personal data categories with confidence scores
02 — Classification

NLP-Based Classification Engine

Column-level personal data classification using AI/NLP

Qala combines structural signals with statistical sampling of anonymized values to run fine-tuned NLP classifiers against GDPR-specific personal data categories. High-confidence classifications auto-approve; mid-confidence fields queue for human review with prepopulated suggestions.

Policy enforcement layer showing retention schedule bars with amber and red violation indicators
03 — Policy

Policy Enforcement Layer

Define retention rules once — Qala flags every violation automatically

Configure retention schedules, permissible processing purposes, and cross-border transfer restrictions in Qala's policy builder. Qala runs enforcement checks on every discovery cycle, ranking violations by severity and routing them to owning teams with timestamps for audit trail purposes.

DSAR automation showing subject lookup result with data sources and record counts
04 — DSAR

DSAR Automation

Respond to data subject access requests in hours, not weeks

Qala's subject lookup tool accepts an email or identifier and returns a real-time map of every data record across all connected sources. DSAR responses export as PDF or JSON. Qala tracks the 30-day GDPR deadline automatically and sends escalation alerts when preparation falls behind.

Breach impact scoping showing data lineage graph with highlighted affected pathway
05 — Breach Scoping

Breach Impact Scoping

Scope affected personal data within minutes, not days

Qala's breach scoping module queries the observability graph to enumerate exposed personal data fields, estimated data subjects affected, and special-category GDPR data involvement. The output is a breach impact report pre-structured for GDPR Article 33 supervisory authority notification — generated in under 10 minutes.

How Qala Works

From credential to compliance map in four steps

01

Connect Your Sources

Provide read-only credentials to your cloud data warehouses and SaaS tools. Qala supports Snowflake, BigQuery, Redshift, Salesforce, and more.

02

Configure Your Policies

Define retention schedules, processing purposes per legal basis, and cross-border transfer restrictions in the policy builder. One-time setup.

03

Qala Classifies and Monitors

The discovery engine crawls your data estate continuously, classifying personal data fields with NLP and running policy enforcement checks on every cycle.

04

Act on Live Compliance Data

Privacy officers respond to DSARs in hours. Compliance leads generate audit-ready exports on demand. Engineers access classification metadata via API.

The Problem in Numbers

GDPR compliance as a periodic exercise is the wrong model

The numbers illustrate why manual, point-in-time compliance creates operational risk.

3–6 months

Time required for a manual GDPR data mapping exercise at a mid-market company

30 days

GDPR deadline to respond to a data subject access request — manual processes use up 18 days on average

67%

Organizations that must manually re-classify personal data at least once per year as infrastructure changes

Ready to make compliance continuous?

Qala is accepting early access requests from mid-market and enterprise teams operating under GDPR, Swiss nDSG, or UK GDPR.

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