Platform overview
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.
Define and manage enterprise data structures and curated datasets without heavy coding.
Create structured, unstructured, and hybrid knowledge bases for AI reasoning and retrieval.
Model real-world business relationships directly into data and graphs.
Operate on relational, transactional, and time-series enterprise data with context.
Unify documents, text, images, and metadata into shared enterprise context.
Eliminate silos by operating on one governed, real-time enterprise context.
Detect anomalies, inconsistencies, and missing values automatically.
Clean, enrich, and reshape data for analytics, ML, and agents.
Translate tabular data into graph-ready intelligence without re-engineering pipelines.
Reduce manual effort and operational risk
No-code tools for recurring data preparation and enrichment workflows.
Trigger transformations in response to data changes and business events.
Models, pipelines, and logic shared across teams and applications.
Automate, optimize, and scale with actionable agents built on your industry and company-specific knowledge graph.
Data arrives structured, contextualized, and governed by design.
Power BI, ML, applications, and agents from shared data assets.
Replace brittle ETL and custom scripts with composable pipelines.
Move from raw data to AI-ready assets in days, not months.
Curated, governed assets for analytics and ML
One platform for tables, documents, and knowledge bases
Reliable pipelines built for scale
