metaPlay sits between data and user (human or AI) to unify data, automate processing, and safeguard access.
Avoids costly migrations by leaving data where it is. Connect databases, data warehouses, object stores and Excel workbooks across multiple clouds and on-premises, with no replication required.
Increases personnel efficiency with automated deployment of AI workflows and apps. Business teams work no-code; technology teams customize in Python, in the same platform.
Keeps your business safe and aware, with Zero-Trust access and automated tracking of data<>AI connectivity.
metaPlay unifies your data; it doesn't replace your systems. API-first architecture means if it's Python-compatible, it works:
Data sources: Pre-built integrations for Excel, data warehouses, RDBMS, NoSQL, vector DBs and object stores + pluggable integration API
AI/ML frameworks: PyTorch, TensorFlow, scikit-learn, XGBoost – any Python AI/ML library
Compute: AWS, GCP, Azure, on-premises—multi-cloud by design
Version control: GitHub, GitLab, Bitbucket
Compose data integrations, pipelines, models and agents into reusable building blocks that are immediately available for downstream workflows and apps. Start with built-in, no-code workflows, or define custom logic once in Python and reuse it everywhere.
AI workflows and apps deployed in minutes. Every building block is fully auditable, so velocity and awareness compound through reuse.
metaPlay’s patented technology automatically tracks which data feeds which AI, along with any custom Python logic used to connect and model datasets. Built-in validation covers LLM, timeseries and traditional ML models.
Full traceability across data versions and queries. Align with regulatory frameworks and standards (EU AI Act, NIST AI RMF), and catch AI failures before they reach production.
Every deployment is automatically shipped under Zero-Trust security. All user defined code is automatically committed to Git for safe versioning. Robust access controls enable clear administration and least privilege operations while empowering self-service velocity.
Move fast without breaking things. Enterprise security built-in from day one.
Connect to existing data sources across multiple clouds—SQL databases, data warehouses, object storage—with no required replications or migrations.
Cross-platform APIs, Git integration, and proprietary access-control framework enable seamless collaboration across teams.
Automatically handles deployment management, version control, and security enforcement. The orchestration layer that makes safe self-service possible.
Deploy AI workflows and apps as inference APIs, data APIs, or interactive dashboards that business stakeholders consume immediately.