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Effortless ML Monitoring
Built for Enterprise

Your low-barrier path to machine learning (ML) compliance and superior performance

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Banks, telcos, and energy companies have unique ML needs

Revela is built for traditional enterprises that rely on ML models to streamline operations, improve security, and enhance their product offerings. Data science teams responsible for managing models need developer-friendly tools that are versatile and practical.

Improve Models

ML model failure can have a severe negative impact on your business. With Revela, identify data drift early and track changes in model performance over time. Capture new training data in production and iterate towards wider model coverage.

Show Compliance

With upcoming regulations such as the AI Bill of Rights (US), Bill C-27 (Canada) and the AI Act (EU), model owners will be soon be held responsible for how their AI impacts users. Rest assured Revela will tick some key boxes on your compliance checklist.

Monitor Securely

Deploy on-prem or within your internal cloud for maximum security. Keep IT happy by keeping sensitive model input and inference data behind company firewalls. Not working with sensitive data? No problem, the Revela cloud API will do the trick.

Protect Reputation

As a trusted organization with years of reputation to protect, you can't afford to deploy biased or discriminatory ML. Eliminate incidental harm to your customers by tracking events that may cause unpredictable model decisions.

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Case Study

Impact of COVID-19 on UK Banks

35% of banks experienced a negative impact on ML model performance during COVID-19.
Major movements in macroeconomic variables, such as rising unemployment and mortgage forbearance.
Discontinuity in the datasets caused unexpected model drift.

Read the full report here.

ML models are only as good as the data they are trained on. Once a model is deployed to production it will eventually encounter data that is statistically different from its training data. This is called drift, and it can be caused by changes in the real-world environment, malfunctioning data sources, or even our own evolving definition of a concept. This is when ML becomes unpredictable, and in some cases harmful.

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We Take Pride in Our work

“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.”