Data consulting and MLOps platform for enterprise data governance
MYRIAD Data is a Paris-based data consultancy built around governance, compliance, and production ML. The tech stack reflects a multi-cloud, polyglot data architecture (GCP, Azure, AWS; Hadoop, Spark, Teradata, Redshift, BigQuery, PostgreSQL) paired with heavy investment in data quality, access control, and MLOps tooling (dbt, Kubernetes, Cloud Composer, Dataproc). The project backlog—dominated by governance, compliance, and pipeline automation—and pain-point cluster around centralization and standardization, signaling clients with fragmented data assets and immature ML ops.
MYRIAD Data advises enterprise clients on data strategy, platform architecture, and ML operationalization. Founded in 2016, the firm operates as a boutique consultancy and platform vendor, with 11–50 employees based in Neuilly-sur-Seine. The service model centers on custom capability building: recruiting and staffing dual-skilled (technical + business-domain) practitioners onto client engagements, then implementing end-to-end solutions spanning data governance, data lakes, analytics, and production machine learning. Active projects cluster around governance frameworks (access policies, compliance, data quality standards), industrializing ML workflows (pipeline automation, MLOps tooling), and monitoring/dashboard standardization—typical of large-account transformations where data is fragmented across legacy systems.
Python, SQL, and multi-cloud infrastructure (GCP, Azure, AWS). Data platforms include Hadoop, Apache Spark, Teradata, Redshift, BigQuery. BI/visualization: Power BI, Tableau. DevOps and pipeline tooling: Kubernetes, dbt, Cloud Composer, Dataproc, Terraform, Docker.
Neuilly-sur-Seine, Île-de-France, France. Founded in 2016, privately held, 11–50 employees.
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