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Qualitum vs Qala AG

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Qualitum compared with Qala AG
DetailQualitum logo QualitumQala AG logo Qala AG
What it doesAI agent teams that turn requirements and evidence into audit-ready compliance validation Governance Control Plane for Software Engineering
StageStartup Not given
Founded2026 Not given
Based inSI CH
Pricing modelContact for pricing Not given
PricingAnnual licence priced by site footprint and scope of automation, with fixed implementation fee and annual assurance. Contact for specific rates. Not given
Key features
  • Requirement decomposition and matching to evidence
  • Gap identification and document drafting
  • Full CSV/CQV lifecycle from URS to PQ
  • GAMP 5 categorisation and ICH Q9 risk scoring
  • Human approval with electronic signature
  • Private single-tenant deployment with no data egress
  • Automatically detect policy drift at the source
  • Continuously evidence controls instead of reviewing post-delivery
  • Understand data flows and risk exposure instantly
  • Map sensitive data flows across services, APIs, and integrations
  • Continuously monitor sensitive data against policies and frameworks
  • Govern AI and third parties with confidence
  • Generate real-time policy-aware evidence for SOC2, ISO27001, GDPR, AI Act
  • Eliminate manual evidence collection and engineering interviews
What makes it different
  • Agents author and execute; qualified people review and sign every output
  • Validation cycle time reduced by roughly half compared to manual processes
  • Deploys privately inside your infrastructure in 1–2 weeks with no data egress
  • Every result traced to source documents with full audit accountability
  • Priced by scope of automation, not per seat or per token
  • Built for continuous governance by design, working seamlessly with engineering
  • Detects policy drift at source before it becomes exploitable risk
  • Provides verifiable evidence directly from engineering systems
  • Bridges the accountability gap between policy intent and operational reality
Community votes00
DR (Domain Rating by Ahrefs)18 −1 (down) since last check8 no change since last check
Trust Flow (Majestic)97
Citation Flow (Majestic)2025
Referring domains (Majestic)2052

4 details filled in for both companies.

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