Prepare, model, and transform enterprise data into AI-ready assets that power analytics, applications, and agents.
Syntes AI provides a modern data engineering and data science layer that transforms raw, fragmented data into governed, high-quality datasets, models, and knowledge bases—ready for analytics, automation, and AI execution.
Data Models & Data Sets:
Define and manage enterprise data structures and curated datasets without heavy coding
Enterprise Knowledge Bases:
Create structured, unstructured, and hybrid knowledge bases for AI reasoning and retrieval
Ontology & Relationships Builder:
Model real-world business relationships directly into data and graphs
Structured & Tabular AI Models:
Operate on relational, transactional, and time-series enterprise data
Structured & Unstructured AI Models:
Combine documents, text, images, and metadata with structured records
Unified Modeling Layer:
Eliminate silos between analytics, ML, and AI workloads
Data Quality & Validation:
Detect anomalies, inconsistencies, and missing values automatically
Transformation Pipelines:
Clean, enrich, and reshape data for analytics, ML, and agents
Graph and Relational Transformations:
Translate tabular data into graph-ready intelligence without re-engineering pipelines
Reduce manual effort and operational risk:
Automation & Transformation Tools:
No-code tools for recurring data preparation and enrichment workflows
Event-Driven Processing:
Trigger transformations from data changes and business events
Reusable Data Assets:
Models, pipelines, and logic shared across teams and applications
Built for AI, Not Just Analytics
Data arrives structured, contextualized, and governed by design.
One Foundation for Many Use Cases
Power BI, ML, applications, and agents from shared data assets.
Lower Engineering Overhead
Replace brittle ETL and custom scripts with composable pipelines.
Faster Path to Production AI
Move from raw data to AI-ready assets in days, not months.
