Machine Learning Machine Learning

Stacts provides a lasting impact with a good mix of tech, data and human insight. Paving the way for predictive intelligence with Machine Learning

Stacts helps organizations derive the value of data, train models & deploy to production, stay ahead stay competitive.

Our Service Area

Our experts in ML would help you Create and Deploy models into production. We provide end to end ML lifecycle support with our data scientists, engineers & architects helping you build, train, deploy ML models continously, without having the need to house resources at your end.Our MLOps framework is built to scale and easily pluggable to accomodate new Models without major change in the underlying codebase. Continue to predict and improve your bussiness.

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Get Started with Machine Learning

Data Science Engineering

Complete cycle of analysis, discovery, development, training models, validating models and ultimately deploying models in a feedback loop of improvements

ML Engineering

Expertise to scale and harden trained models by regular testing process, align & integrate with bussiness systems. Deploy faster at lower costs

Support

Definitive support and alerting knobs about model performance, data quality platform health. Retrofit measures before any adverse effects

Train Models

Our team of data scientists and data engineers would ensure to analyze and design the engineering mechanism to have the models ready in production. Our combination of data science and engineers expedite the process of developing and packaging ML projects which are eventually deployed in production. Constant monitoring and roadblock are kept a tab to guarantee model performance.

Accuracy

Our team specializes in building the right models which are adequately tested before being deployed. Once in production, the team also ensures to govern the models continously to uncover issues or misbehaivours if any and retrofit them before any large scale impact on business, predictions you can trust.

Monitoring

Our telemetry tooling around the framework of auditing, logging and tests will ensure we validate the models and build continous trust. Any chances of breakage are readily brought to notice and immediate action is ascertained.

ML Ops Framework

Our framework of ML Ops would help deploy at scale. The framework is battle tested and stands the test of time to ensure your models are trained, updated, secured and are seamlessly pushed into production deployment with utmost ease.

Ready To Discuss Your Project?

There are many ways to contact us. You may drop us a line, give us a call or send an email, choose what suits you the most.

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