Coginiti

Enables teams to create, publish, and consume trusted data products, increasing productivity and speeding up delivery of actionable insights.
Data Operations Collaborative Analytics Artificial Intelligence Assistance

Coginiti is an AI-infused collaborative data operations platform that enables teams to create, publish and consume trusted data products. It gives data teams the ability to assemble all the necessary capabilities to ensure consistent analytics, increasing productivity and speeding up the delivery of actionable insights. Coginiti's deep database object integration lets users find and analyze data in leading data platforms while maintaining company data security policies.

Some of its features include:

  • Modular Analytic Development: Decompose large projects into reusable modules with CoginitiScript.
  • Collaborative Versioned Teamwork: Encourage team collaboration and accountability with conversation threads and built-in version control.
  • Data Quality Framework: Build a comprehensive test framework to validate data and analytical models, ensuring reliability and minimizing the risk of errors.
  • AI Assistance: Leverage generative AI to increase productivity and inform data-driven decisions.

Coginiti offers a range of plans to suit different user needs:

  • Coginiti Pro: For individual data scientists, engineers and analysts, with catalog and versioning features, and a 30-day free trial.
  • Coginiti Team: A collaborative environment for data teams and departments, increasing productivity and data sharing.
  • Coginiti Enterprise: For global companies, managing collaborative data efficiency with centralized management and scalable support.

Coginiti integrates with a range of data platforms, including Redshift, Snowflake, BigQuery and others, so it works well with enterprise data stacks. It also integrates with a variety of business intelligence and analytics tools, data orchestration platforms and object storage systems.

With Coginiti, users can automate data workflows, ensure analytic consistency and accelerate the delivery of trusted data products.

Published on June 9, 2024

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