Machine Learning model monitoring API that is
Reliable. Scalable. Instant.
The quality and flexibility you expect from a custom-built solution, for a fraction of the cost.
Model monitoring is a crucial stage of the Machine Learning Operations (MLOps) lifecycle. It allows Machine Learning teams to detect and fix model issues quickly before they impact the end users. Unfortunately, model monitoring is often overlooked as companies race to get their Machine Learning-enabled products to market.
Instrument your production models with our monitoring API, so you can focus on building your next great idea.
Our goals are
simple.
We're here to:
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Establish trust in ML models throughout organizations.
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Unblock ML models from realizing their full commercial potential.
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Connect the efforts of ML teams with tangible business value.
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Do this as easily and efficiently as possible.
The only API-first ML monitoring product on the market.
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We're not a monitoring platform and we're not here to push another proprietary dashboard on you.
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Our highly consumable API delivers model performance metrics wherever and whenever you need them.
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With our low technical overhead, we provide the fastest real-time metrics computations.
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Complicated MLOps pipelines? No problem, we integrate with house-built infrastructure and 3rd party platforms.
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Sophisticated alerts ensure that stakeholders are notified when absolutely necessary (no alert fatigue here!)
We Partner with:
ML Start-ups
We help AI/ML start-ups establish their MLOps toolchain. With years of ML consulting under our belt we provide guidance on which tools are needed and when.
Companies Scaling their ML
Many companies monitor their ML models manually or support their own monitoring infrastructure. We help scale these processes through automation.
Other MLOps Tools
We are striving for a seamless MLOps experience. To achieve this we are actively seeking integrations with complimentary MLOps platforms.
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“Revela was a committed, flexible, and dependable technology partner. They listened well, did a great job of keeping us up to date, and I look forward to working with them again.”