continuously manage & keep your ML systems efficient on cloud as you scale

our offering

24*7 Expert guidance & support to solve for building an integrated ML system and to continuously operate it in production

ML Ops implementation
  • reduce manual or script driven processes during pre model deployment phases
  • continuous training for models: Practices to automatically train model using fresh data based on live pipeline triggers
  • active monitoring the quality of your model in production & check for model staleness
  • new experimentation iteration retraining of the model on new data
  • continuous delivery of models
on-demand professional services

We get it, not everything can be automated and some situations require ad-hoc custom support

  • talk to our ML experts via flexible custom ‘tech blocks’
  • on-demand architectural consulting or hands-on support for those times when you need more hands on deck to get things completed faster

engagement approach

Our custom workshops and/or one time
pro-serv engagements allow us to meet you where you are. Typical process involves:


let’s connect

We help you embrace change by creating newer ways to work or optimising existing processes.

let’s talk