Model monitoring companies, products & suppliers
Live watch on deployed model inputs, outputs and drift. Jobs: drift alerts; output monitors; performance by slice.
What is Model monitoring?
Live watch on deployed model inputs, outputs and drift. Jobs: drift alerts; output monitors; performance by slice.
What problems does it solve?
Production data shifts and nobody notices until users complain.
Typical business use cases
- Drift alerts
- Output monitors
- Performance by slice
Important capabilities
- Live metrics
- Baselines
- Alerting
What buyers should evaluate
- What data is sampled
- Alert routing
- PII in samples
Risks and governance considerations
Sampled production records stored without a deletion story.
Procurement checklist
- Sampling policy
- Retention
- On-call
Relevant AI Trustmark assurance
AI Trustmark independent findings appear only when an assessment or certificate exists. Category membership does not imply verification.
Companies and providers
Claimed suppliers appear first so buyers can start with listings the company has taken ownership of. Payment does not buy this order.
AIMon is a Bessemer Ventures-backed company that helps you evaluate and improve RAG systems and LLM applications. AIMon is used for Model monitoring work. AIMon publishes product i
Continuously improve AI agents with agent observability, evaluation, tracing, and experimentation. Arize AI publishes Arize AX Evaluation, Arize Phoenix, and Arize Model Monitoring
Censius is an AI Observability Platform built for AI/ML teams to monitor, analyze, explain, and debug models. By flagging issues such as poor data quality, model drift, bias, and d
Gain visibility, context, and control through evaluation, monitoring, enforcement, governance, and cost efficiency. Fiddler AI publishes Fiddler Guardrails, Fiddler AI Observabilit
Hydrosphere publishes Hydrosphere as a named AI product. Hydrosphere is used for Model monitoring work. Hydrosphere publishes product information at docs.hydrosphere.io. Hydrospher
ModelFox makes it easy to train, deploy, and monitor machine learning models. ModelFox is used for Model monitoring work. ModelFox publishes product information at modelfox.dev. Mo
Mona publishes Mona as a named AI product. Mona is used for Model monitoring work. Mona publishes product information at monalabs.io. Mona is grouped with Model monitoring supplier
Qualdo™ helps you to monitor mission-critical data errors, drifts and quality in your favorite modern cloud databases & ML ecosystem. Qualdo is used for Model monitoring work. Qual
Catch data issues before they reach the business, trace them to root cause, and fix them fast. Trusted by Penguin Random House, Saint-Gobain, Euronext and more. Sifflet is used for
Soda provides data quality monitoring and observability for analytics and AI data pipelines. Public marketing also emphasises data quality as code + monitoring. It is presented for
Control how AI is used across your company—so you can trust it. Complete visibility, guardrails, and control over AI usage. SUPERWISE publishes SUPERWISE Platform as named AI produ
Products
Claimed products appear first. Ranking packs and payment do not change this list.
- AIMon· AIMon
- Arize Model Monitoring· Arize AI
- Censius AI Observability Platform· Censius
- Hydrosphere· Hydrosphere
- ModelFox· ModelFox
- Mona· Mona
- NannyML Cloud· Soda
- Qualdo· Qualdo
- Sifflet· Sifflet
- SUPERWISE Platform· SUPERWISE
Also used in this category
These products have a different primary category so they do not compete for the same ranking queries. They are listed here because buyers still encounter them in this job.
- Fiddler AI Observability· Fiddler AI
- Fiddler AI Observability and Security Platform· Fiddler AI
Related categories
Relevant procurement and assurance guides
Frequently asked questions
What is Model monitoring?
Live watch on deployed model inputs, outputs and drift. Jobs: drift alerts; output monitors; performance by slice.
What should not be listed as Model monitoring?
Products whose buyer job is training-time experiment tracking, eval workbenches, or cost tools. Those belong on their own category page so search queries are not split.
Has AI Trustmark independently assessed every Model monitoring supplier?
No. A category listing is descriptive. Independent assessment is shown only on company or product pages that carry Trustmark evidence.
What logging should an AI agent provide?
Buyers should be able to see who the agent acted as, which tool was called, what data was sent, what changed, and when. Logs that omit write actions or store raw customer prompts without access control are incomplete evidence.
What model or provider changes should a buyer insist on being told about?
Material change usually includes a new model family, new region, new subprocessor, new write-capable tool, or a change that affects logging, privacy or human oversight. Those changes should trigger evidence refresh rather than a silent release.
How should buyers verify where AI customer data is processed?
Ask for the named processing locations, cloud regions and any subprocessors that see prompts, files or outputs. A directory listing is not evidence of residency. Independent assessment records the locations that were in scope on the assessment date.
Does a TrustMark on one product cover the rest of the company?
No. Independent assessment is scoped to the named organisation and, where relevant, the named product. Category pages list suppliers as a topic label. They do not imply that every listed company has been assessed.
What incident-handling evidence is useful for AI suppliers?
Buyers should see how AI-specific failures are detected, contained and notified — including unsafe outputs, data leakage and unauthorised agent actions. An incident policy that never mentions models, prompts or tools is incomplete for this class of product.