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NannyML vs SUPERWISE

NannyML logo

NannyML

7.9#4 in machine learning model monitoring softwareFrom $99 a month
Free planWebAPILinuxSelf-hosted
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SUPERWISE logo

SUPERWISE

7.8#5 in machine learning model monitoring softwareFrom $9 a month
Free planWebAPIExtensionLinux
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What both publish

FactNannyMLSUPERWISE
API and SDKThe Python Cloud SDK can create monitoring models, ingest inference data, add delayed targets and trigger analyses using an API token.The platform offers REST API and Python SDK access for programmatic governance and CI/CD integration.
Company headquartersNannyML is headquartered in Leuven, Vlaams-Brabant, Belgium.The company identifies Nashville, Tennessee as its headquarters and lists offices in Tel Aviv and Ahmedabad.
Company legal nameCrunchbase lists the legal name as NannyML NV and operating status as closed under Soda.SUPERWISE is a trade name of Deep Insight Solutions, Inc.
IntegrationsNannyML Cloud is offered through both Azure Marketplace and AWS Marketplace.The platform connects through REST APIs, the superwise-api SDK and Flowise external-agent registration.
PurposeNannyML monitors deployed machine-learning models and estimates model performance even when ground truth is delayed or absent.SUPERWISE AMP is an AI governance control plane between AI applications and models that observes interactions and enforces policies.
Rating on CapterraNo public NannyML rating; 0 reviews listed4.6 out of 5 from 7 reviews, but the listing describes a separate construction-management product rather than superwise.ai's AI platform.
Rating on G2No public NannyML rating; 0 reviews listed4.0 out of 5 from 2 reviews.

NannyML plans

  • Open SourceFree
  • Starter (beta)$99 a month
  • Starter$399 a month
  • Scale$999 a month
  • Pro (beta)$3,800 a month
  • EnterprisePriced on request

SUPERWISE plans

  • Chat SoloFree
  • Chat Professional$9 a month
  • Solo$10 a month
  • Sentinel Solo$10 a month
  • Pro$25 a month
  • Sentinel Pro$25 a month

Pick NannyML if…

NannyML suits teams that need to monitor deployed models when ground truth is delayed or absent, and connect model performance with business outcomes. It can also suit teams looking for self-managed open-source installation or Cloud deployment.

Pick SUPERWISE if…

AMP is aimed at engineers and AI teams building LLM applications and agents, including organizations in healthcare, finance, legal, and manufacturing. Sentinel may suit users seeking local prompt inspection and redaction.

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