Keep your production
models working well

Orchestra helps data scientists detect model quality issues and gives insight on how to fix them

  • Monitor data distributions of features and outcomes in real-time
  • Get alerts and notifications when model quality drops
  • Investigate root causes and fix model performance issues faster

Start monitoring in minutes

              
      def runModel(input):
        features = input

        # Monitor all features
        orchestra.api.Prediction.create({
          model: 'Housing Price Estimator'
          event: 'predict.start'
          api_key: API_KEY
          data: { "features": features }
        })

        # Run model
        result = model.predict(features)

        # Monitor outcome
        orchestra.api.Prediction.create({
          model: 'Housing Price Estimator'
          event: 'predict.end'
          api_key: API_KEY
          data: { "outcome": result }
        })
              
            
  1. Create an Orchestra account
  2. Download the Orchestra SDK
  3. Add monitoring snippets to your model code

Works on any environment

Orchestra is designed to work in any deployment environment whether it's on-prem, cloud or hybrid cloud.

Works with any language

Orchestra supports all major machine-learning languages such as Python, R and Scala but can also be extended to support other langauges/frameworks as well.

Build trust into your AI program

Book your personalized demo today