Collibra AI Governance vs LatticeFlow AI
Side-by-side comparison of framework coverage, pricing, capabilities, and target customers. Last verified recently.
https://aicompliancevendors.com/compare/collibra-ai-governance-vs-latticeflow-aiCollibra 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.
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.
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
| Attribute | Collibra AI Governance | LatticeFlow AI |
|---|---|---|
| Founded | 2008 | 2020 |
| Headquarters | New York, United States | Zurich, Switzerland |
| Employees | 1000+ | 11-50 |
| Funding | Series G, $250M, 2021, valuing at $5.25B; total ~$595M | Series A, $12M raised (October 2022), led by Atlantic Bridge and OpenOcean with participation from FPV Ventures. Prior seed of $2.8M (January 2021). |
| Pricing | Enterprise 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. |
| Website | Visit site | Visit site |
Framework coverage
| Framework | Collibra AI Governance | LatticeFlow AI |
|---|---|---|
| EU AI Act | Full | Full |
| ISO/IEC 42001 | Full | Full |
| NIST AI RMF | Full | Full |
Capabilities
| Capability | Collibra AI Governance | LatticeFlow 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.