Fiddler AI vs Kolena
Both compete in Observability & Monitoring. Fiddler AI positions itself as “Enterprise AI observability, security, and governance control plane for models and agents”, while Kolenaleads with “AI model testing roots now applied to document workflow automation for regulated industries”. The table below compares what each publishes.
Where Fiddler AI pulls ahead
Publishes support for EU AI Act, NIST AI RMF, GDPR, which Kolena does not. Regulated enterprises needing a single platform for ML, LLM, and agent observability with strong explainability and governance/audit capabilities.
Where Kolena pulls ahead
Publishes support for SOC 2, which Fiddler AI does not. Teams needing rigorous, scenario-level evaluation of ML models, or regulated finance/insurance/real-estate teams automating document-heavy workflows with auditable outputs.
Both map to HIPAA, so framework coverage alone will not separate them — the decision usually comes down to who operates the tool and how it fits your existing stack.
| Positioning | Enterprise AI observability, security, and governance control plane for models and agents | AI model testing roots now applied to document workflow automation for regulated industries |
|---|---|---|
| Category | Observability & Monitoring | Observability & Monitoring |
| Frameworks | EU AI Act, NIST AI RMF, GDPR, HIPAA | SOC 2, HIPAA |
| Deployment | SaaS, Cloud, On-prem, API | SaaS, API |
| Built for | GRC, Compliance, Risk, Data Science / ML, Security | Data Science / ML, Compliance, Risk |
| Founded | 2018 | 2021 |
| Headquarters | Palo Alto, California, USA | San Francisco, California, USA |
| Ownership | Private, independent; venture-backed | Independent |
| Funding | Approximately $100M total as of 2026; $30M Series C led by RPS Ventures (Jan 2026), following a $32M Series B (2021). Investors include Insight Partners, Lightspeed, Lux Capital, and Capgemini Ventures. | ~$21M total; $15M Series A led by Lobby Capital (2023) |
| Pricing | Enterprise subscription; custom pricing via sales/demo (no public self-serve tiers) | Not publicly disclosed; demo and free-trial based |
| Key capabilities |
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| Integrations | Amazon SageMaker, Google Cloud Vertex AI, NVIDIA NIM, NVIDIA NeMo Guardrails, Databricks, Datadog | API integration, Web platform |
| Notable customers | Brex, BigaBid | Union Pacific, Zeller, Essential Properties Realty Trust, EAH Housing, Milestone Bank |
| Best for | Regulated enterprises needing a single platform for ML, LLM, and agent observability with strong explainability and governance/audit capabilities. | Teams needing rigorous, scenario-level evaluation of ML models, or regulated finance/insurance/real-estate teams automating document-heavy workflows with auditable outputs. |
| Limitations | Enterprise-focused with custom pricing and no transparent public tiers; the breadth across ML, LLM, and agents can mean a steeper setup and learning curve for smaller teams. | The company's shift toward document automation makes its current fit for pure ML model-governance testing less clear; pricing is opaque and framework coverage is limited to general security certifications. |
Which should you shortlist?
Choose Fiddler AI if regulated enterprises needing a single platform for ML, LLM, and agent observability with strong explainability and governance/audit capabilities.
Choose Kolena if teams needing rigorous, scenario-level evaluation of ML models, or regulated finance/insurance/real-estate teams automating document-heavy workflows with auditable outputs.
Neither is a substitute for a governance program. Whichever you pick, you still need people who can define the policies the tool enforces.
AI Governance Tool Selection Kit
A vendor-comparison worksheet plus EU AI Act, NIST AI RMF and ISO/IEC 42001 requirement checklists — so you can shortlist tools against the obligations that actually apply to you.
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