You seems to be using
old browser.

To get the most our of #!% please visit us from one of the following browsers.

menu

Services

menu

Solutions

menu

Unified Data Platform

menu

Airport

menu

Retail

menu

Consumer Packaged Goods

menu

Financial Services

menu

Automotive

menu

HR Analytics

menu

Partnerships

menu

Partnerships

menu

Company

menu

About Us

menu

Partnerships

menu

Resources

menu

CSR

menu

Contact Us

Unlocking the true potential of data requires organizations to be able to design, operationalize and run 100s of analytic models profitably. Tracking and running these models through various stages of their evolution can be challenging, and can impact productivity in data science projects. Strait lets your teams effectively collaborate and manage the end-to-end of ML Lifecycle and drive better alignment with model outcomes.

Simplified model
management

Govern all aspects of the model lifecycle from a single place. Benefit from features that improve traceability and reusability of models.

One-size-fits-all for
your stakeholders

Enable tech and non-tech stakeholders to contribute and share across data science projects. Leverage the flexibility to code or visually explore data and pipelines.

Accelerating model
outcomes

Expedite the journey from data ingestion to insights from your models with the right mix of automation, policy-led governance and effective monitoring with alerts.

Key Components of Strait

Strait offers three core components, designed for multiple use cases in an enterprise
ModelDB

Manage models with high security, re-usability And traceability. Use Strait’s interface or code in your own language to run models. Track and compare versions on any environment, locally or on a server.

ScoringNode

Score models in real-time or batches to uncover hidden patterns and monitor throughout the lifecycle with alert. Leverage built-in ML engines to run models and scale infrastructure needs on-demand.

ModelStudio

Design, prototype and train your models within a collaborative studio. Manage your ML pipeline with data engineering, Feature engineering and modelling tasks.

How Strait Empowers Stakeholders

Data Science Leaders

Harnessing well-governed environments to enable traceability, collaboration and compliance needs

Data Scientists

Improving focus on insights with better tracking, comparison, sharing of experiments and artifacts

Data Engineers

Expediting data ingestion, preparation and cleansing with pre-built connectors and interactive interfaces

Production Engineers

Improving mechanisms to provision infrastructure on-demand and manage feedback loops with monitoring

Interested in exploring Strait for your models?

Schedule a demo