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Comet Model Production Monitoring Released

Comet announced its newest product, Comet Model Production Monitoring (MPM), which enables organizations to track and monitor the quality of models after they have been deployed in production.

When used in tandem with Comet Enterprise, data scientists will have visibility into model quality and performance throughout the model’s lifecycle - from creation and experimentation, to production and iteration. This innovation has been supported by the acquisition of Stakion, a model production monitoring company based in the U.K., that took place earlier this year. As part of the acquisition, the Stakion team will be joining Comet and will continue innovating with production monitoring.

Comet MPM is a key innovation, as data science teams do not have full visibility across a model’s entire lifecycle. That means even if a model is successfully deployed to production, it can still struggle to meet its business KPIs once it’s live. The core issue is a gap in model development and monitoring tooling - today’s tools are either focused on training or on getting models into production, making it extremely difficult, if not impossible, to get full visibility.

“If you’re only focused on the training or the production performance, you’re missing a key feedback loop for your data science teams to continue iterating,” continued Mendels. “By combining knowledge on the model from both training and production environments, you can unlock significant value in areas such as concept drift and out-of-distribution detection.”

Comet MPM is available to existing Comet customers today.

Comet also raised $13M in Series A funding led by Scale Venture Partners and existing investors including Trilogy Equity Partners and Two Sigma Ventures.

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Comet Model Production Monitoring Released

Comet announced its newest product, Comet Model Production Monitoring (MPM), which enables organizations to track and monitor the quality of models after they have been deployed in production.

When used in tandem with Comet Enterprise, data scientists will have visibility into model quality and performance throughout the model’s lifecycle - from creation and experimentation, to production and iteration. This innovation has been supported by the acquisition of Stakion, a model production monitoring company based in the U.K., that took place earlier this year. As part of the acquisition, the Stakion team will be joining Comet and will continue innovating with production monitoring.

Comet MPM is a key innovation, as data science teams do not have full visibility across a model’s entire lifecycle. That means even if a model is successfully deployed to production, it can still struggle to meet its business KPIs once it’s live. The core issue is a gap in model development and monitoring tooling - today’s tools are either focused on training or on getting models into production, making it extremely difficult, if not impossible, to get full visibility.

“If you’re only focused on the training or the production performance, you’re missing a key feedback loop for your data science teams to continue iterating,” continued Mendels. “By combining knowledge on the model from both training and production environments, you can unlock significant value in areas such as concept drift and out-of-distribution detection.”

Comet MPM is available to existing Comet customers today.

Comet also raised $13M in Series A funding led by Scale Venture Partners and existing investors including Trilogy Equity Partners and Two Sigma Ventures.

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In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...

Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...

As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

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IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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