Superwise vs Kolena
Both compete in Observability & Monitoring. Superwise positions itself as “Agentic Management Platform for building, monitoring, and governing AI at scale”, while Kolenaleads with “AI model testing roots now applied to document workflow automation for regulated industries”. The table below compares what each publishes.
Where Superwise pulls ahead
Regulated enterprises and AI platform teams needing a unified governance control plane spanning observability, guardrails, and policy enforcement for models and agents
Where Kolena pulls ahead
Publishes support for SOC 2, HIPAA, which Superwise 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.
| Positioning | Agentic Management Platform for building, monitoring, and governing AI at scale | AI model testing roots now applied to document workflow automation for regulated industries |
|---|---|---|
| Category | Observability & Monitoring | Observability & Monitoring |
| Frameworks | None published | SOC 2, HIPAA |
| Deployment | SaaS, Cloud, On-prem, API | SaaS, API |
| Built for | Data Science / ML, Risk, Compliance, GRC, Security | Data Science / ML, Compliance, Risk |
| Founded | 2019 | 2021 |
| Headquarters | Tel Aviv, Israel | San Francisco, California, USA |
| Ownership | Acquired by Blattner Technologies in January 2023 (terms undisclosed); operates as a Blattner Tech company as of mid-2026 | Independent |
| Funding | ~$4.6M in seed funding (including a $4.5M round in March 2020 led by Capri Ventures and F2 Capital) prior to the 2023 acquisition | ~$21M total; $15M Series A led by Lobby Capital (2023) |
| Pricing | Commercial enterprise SaaS; custom pricing | Not publicly disclosed; demo and free-trial based |
| Key capabilities |
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| Integrations | OpenAI, Anthropic, Amazon Bedrock, Azure OpenAI, Google Vertex AI, Cohere, Mistral AI, LangChain, LlamaIndex, CrewAI, AutoGen | API integration, Web platform |
| Notable customers | None published | Union Pacific, Zeller, Essential Properties Realty Trust, EAH Housing, Milestone Bank |
| Best for | Regulated enterprises and AI platform teams needing a unified governance control plane spanning observability, guardrails, and policy enforcement for models and agents | Teams needing rigorous, scenario-level evaluation of ML models, or regulated finance/insurance/real-estate teams automating document-heavy workflows with auditable outputs. |
| Limitations | A smaller vendor (roughly 19 employees) now owned by Blattner Technologies, so scale and long-term independence differ from larger competitors; explicit certification against named frameworks (EU AI Act, NIST AI RMF, ISO 42001) is not clearly published despite strong governance positioning, and named public customer references are limited. | 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 Superwise if regulated enterprises and AI platform teams needing a unified governance control plane spanning observability, guardrails, and policy enforcement for models and agents
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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