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FiboRisk Model Monitoring vs SUPERWISE

FiboRisk Model Monitoring

fiborisk.ai

SUPERWISE

superwise.ai

Side by side

FigureFiboRisk Model MonitoringSUPERWISE
Price from—$9/mo
Free plan—Yes
Free trial—Yes
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
API—Yes
Self-hosted—Yes
Plans published112
Spec score · Machine Learning Model Monitoring Software6.9 (#16)8.6 (#5)
IntegrationsApproved integrations are scoped as part of the platform environment, while the pricing page says integrations and related costs are confirmed in the SOW.The platform connects through REST APIs, the superwise-api SDK and Flowise external-agent registration.
Intended usersThe product retains evidence for validation or audit teams and defines explicit roles for validation, approval, operation, and audit.AMP is designed for engineers and AI teams building LLM applications and agents, including organizations in healthcare, financial services, legal, and manufacturing.
PurposeMonitors model performance, drift, bias, latency, overrides, and realized outcomes against the accepted model and policy version.SUPERWISE AMP is an AI governance control plane between AI applications and models that observes interactions and enforces policies.

Plans

FiboRisk Model Monitoring

  • FiboRisk Model MonitoringPriced on request

FiboRisk Model Monitoring pricing →

SUPERWISE

  • Chat SoloFree
  • Chat Professional$9 a month
  • Sentinel Solo$10 a month
  • Solo$10 a month
  • Pro$25 a month
  • Sentinel Pro$25 a month
  • Chat Business$49 a month
  • Business$50 a month
  • Sentinel Business$50 a month
  • Chat Business Plus$69 a month

SUPERWISE pricing →

In their own words

FiboRisk Model Monitoring

FiboRisk Model Monitoring is web software for monitoring model performance, drift, bias, latency, overrides, and realized outcomes against an accepted model and policy version. Listed capabilities include performance monitoring, drift detection, bias and segment review, and alert management. Evidence objects connect datasets, models, policies, decisions, reviewers, and release states. Evidence records can version dataset and feature details, model and policy versions, acceptance status, reviewer role, and decision timestamps; records are attributable and exportable within the agreed delivery scope. The product is aimed at validation or audit teams and defines roles for validation, approval, operation, and audit. Delivery uses a dedicated tenant or agreed private deployment. Production access follows model and environment acceptance, with named-user invitations managed by customer administrators. Security, privacy, data, retention, transfer, encryption, export, and deletion controls are defined for each deployment boundary. Integrations and costs are confirmed in the statement of work.

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SUPERWISE

SUPERWISE AMP is an AI governance platform that sits between AI applications and models to observe interactions and apply policies. Its guardrails evaluate inputs and outputs, with policy evaluation advertised as taking under 10 ms. Agent Studio supports building, testing, and deploying agents, with governance and automated failure detection. The platform monitors operational health and drift and offers analytics, dashboards, audit trails, compliance reports, and metrics for model performance, data quality, and bias. SUPERWISE says it connects to 50+ providers, vector databases, and enterprise tools, including OpenAI, Anthropic, AWS Bedrock, LangChain, Pinecone, Snowflake, Salesforce, and Slack. It provides REST API and Python SDK access. AMP is managed SaaS by default, with connections to private, on-premises, and air-gapped environments. Sentinel inspects prompts locally and redacts secrets and personal data before they leave the machine; traffic does not pass through SUPERWISE. Plans start at $10/mo, with a 30-day trial and no free plan.

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