Bridge technical and non-technical stakeholders with automated data quality checks, anomaly detection, and natural-language conversational queries — all in one middleware layer. Real-time, modular, and production-ready.
Automatic validation pipelines that detect missing values, schema drift, and outliers with configurable rules and alerts.
Continuous checks feed into models that detect anomalies and notify stakeholders immediately with remediation suggestions.
Let non-technical users query data, request reports, and get plain-language answers via a chat UI backed by the pipeline and metadata.
Microservices for ingestion, validation, ML, and alerting — plug-and-play connectors (DBs, APIs, streaming).
Modern control protocols (MCP) for resilient orchestration and observability across environments.
Role-based access, audit logs, and traceability ensure governance and compliance for critical pipelines.
IDPM connects data sources, runs configurable validations and ML models in the pipeline, exposes insights to dashboards and a conversational interface, and triggers alerts/automations via integrations.
Teams use IDPM to turn noisy pipelines into actionable intelligence and understandable results for business users.
Try IDPM locally or deploy a demo to your environment. Includes connectors, pipeline templates, and conversational UI.