Your data. Discovered.
Understood. Trusted. Always.
From raw, scattered signals to a governed, profiled, catalogued data estate that every analyst, engineer, and AI system builds on. No manual documentation. No stale metadata.
No data you can't explain.
Automated data quality score maintained continuously
Data assets auto-catalogued with metadata on ingestion
Full EDA report generated on every pipeline run
Native connectors zero pipeline glue code
Compliance violations GDPR, CCPA, HIPAA, EU AI Act
See Data Fabric in action.
7 stages. Zero glue code.
Every pipeline stage automated, governed, and continuously running from raw source ingestion to AI-ready data served to everything downstream.
Ingest
100+ connectors
Raw data pulled from every source — streaming, batch, API, file — unified in real time.
Everything your data estate needs. One platform.
Ten deep capabilities. Unified. Click any to see it in action.
Intelligent Data Discovery
Find every asset. Instantly.
Automatically scans every connected source and surfaces tables, columns, files, streams, and models. No manual inventory. No hidden data.
Live preview
Live scan — 3 sources connected
Every data point. Fully traceable.
Column-level lineage from raw source to every downstream consumer. Impact analysis in seconds. GDPR audit exports in under 2 minutes.
Lineage capabilities
Column-level lineage graph
Impact Analysis · If Kafka schema changes
Automated data quality score maintained continuously
Data assets auto-catalogued with metadata on ingestion
Full EDA report generated on every pipeline run
Native connectors zero pipeline glue code
Compliance violations GDPR, CCPA, HIPAA, EU AI Act
Data Fabric is the foundation.
Every other fabric builds on it.
Governed data flows into ML training. Lineage-tracked sources ground RAG pipelines. The entire Enterprise Intelligence OS is only as trustworthy as the data layer beneath it.
Data Fabric
Governed data estate. Provides quality-scored, lineage-tracked features and datasets to ML Fabric. Data quality compounds into model quality.
ML Fabric
AI-powered MLOps. Auto-Research, experiment tracking, one-click deployment, drift detection, and auto-retrain — across the full ML lifecycle.
Generative Fabric
LLMOps + Agentic AI. Uses ML model outputs as signals for agent decisions. Every agent action is grounded in model intelligence.
Data Fabric → ML Fabric
Governed, quality-scored features feed every training run. Data quality compounds into model quality automatically.
Data Fabric → Generative Fabric
RAG pipelines retrieve from governed sources. Every LLM answer is traceable to a lineage-tracked data asset.
DataSynaize AI sits across all three fabrics.
Ask anything across your data estate — quality reports, lineage traces, catalog search — through one conversational interface. Nexen sits above all three fabrics.
Works with your existing stack.
Not instead of it.
No rip-and-replace. Data Fabric layers onto what you already have.
Your data estate
deserves to be known.
Connect with our team to discuss your data quality, lineage, and governance posture—before gaps turn into incidents.
SOC 2 Type II certified · Multi-cloud ready · Self-hosted option · No vendor lock-in