Collibra AI Governance vs LatticeFlow AI

Side-by-side comparison of framework coverage, pricing, capabilities, and target customers. Last verified recently.

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Collibra AI Governance

AI governance platform for compliant, trusted AI

Collibra AI Governance is a platform that centralizes management of AI use cases, models, and agents with full visibility, trusted data, automated documentation, and built-in compliance features. It supports teams in scaling AI responsibly by providing end-to-end lineage from source data through model training, inference, deployment, and usage across platforms like AWS, Azure, Google, Databricks, SAP, and MLflow. The solution facilitates risk assessment using templates for EU AI Act and NIST AI RMF, policy enforcement, model registries, and ongoing monitoring to ensure audit-readiness and regulatory adherence, particularly for regulated industries such as financial services and healthcare. Distinct from narrower tools, it integrates data governance with AI oversight in a unified system of record, enabling cross-team collaboration between AI, data, and risk functions while recommending governed data products to reduce risks from poor data quality or bias.

Last verified April 23, 2026New York, United States

LatticeFlow AI

A single platform to discover, evaluate and govern risk to secure your AI future.

LatticeFlow AI is a Swiss deep-tech company headquartered in Zurich, spun out of ETH Zurich in 2020, that provides a platform for AI security and governance centered on deep technical evaluations. The company co-created COMPL-AI, the first open-source evaluation framework mapping EU AI Act requirements to concrete technical controls for generative AI, in partnership with ETH Zurich and INSAIT. This positions LatticeFlow AI as a primary reference for EU AI Act compliance-centered AI assessments. The platform covers agentic AI risk assessment, foundation model risk screening, automated AI security red-teaming, and continuous AI governance operations. It is listed in the 2025 Gartner Market Guide for AI Governance Platforms and the 2025 Gartner Market Guide for AI TRiSM. Customers include global wealth management institutions, Axpo (energy), defense organizations, and Swiss Federal Railways.

Last verified April 22, 2026Zurich, Switzerland

What the data shows

We haven't published an editorial verdict on this pair yet. The comparison below is built from public vendor materials and our taxonomy — no editorialized ranking.

  • Shared framework coverage: EU AI Act, ISO/IEC 42001, NIST AI RMF
  • Shared capabilities: 6 of 9 listed.

Want our editorial take? Email the editors or read our methodology.

At a glance

AttributeCollibra AI GovernanceLatticeFlow AI
Founded20082020
HeadquartersNew York, United StatesZurich, Switzerland
Employees1000+11-50
FundingSeries G, $250M, 2021, valuing at $5.25B; total ~$595MSeries A, $12M raised (October 2022), led by Atlantic Bridge and OpenOcean with participation from FPV Ventures. Prior seed of $2.8M (January 2021).
PricingEnterprise subscription; contact sales for custom quote based on users, assets, modules.No public pricing. Enterprise platform sold via direct sales. Contact sales for demo and pricing.
WebsiteVisit siteVisit site

Framework coverage

FrameworkCollibra AI GovernanceLatticeFlow AI
EU AI ActFullFull
ISO/IEC 42001FullFull
NIST AI RMFFullFull

Capabilities

CapabilityCollibra AI GovernanceLatticeFlow AI
AI Model Inventory
Audit Evidence Collection
Bias & Fairness Testing
Explainability
LLM Red Teaming
Model Monitoring
Policy Management
Regulatory Intelligence
Risk Assessment Workflow

Industries served

Collibra AI Governance

  • Financial Services
  • Healthcare
  • Insurance
  • Retail & E-commerce

LatticeFlow AI

  • Financial Services
  • Defense & National Security
  • SaaS & Technology

Integrations

Collibra AI Governance

  • AWS SageMaker
  • Azure ML
  • Google Vertex AI
  • Databricks
  • Snowflake
  • MLflow
  • ServiceNow
  • Slack
  • Jira

LatticeFlow AI

  • OpenAI API
  • GitHub

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Editorial independence: This comparison is free and was not paid for by either vendor. See our methodology.