Syntes AI Digital Twin Agentic Platform with Graph Data Model
summary
Syntes AI runs a multi-tenant SaaS with Neo4j per-tenant partitions and two-way ELT connectors to source systems like Shopify and Snowflake, using LLM-to-Cypher query generation to translate chat prompts into validated queries. The demo shows exact results: eight product variants under $300 and orders totaling $6,580.01, plus aggregated averages. Built features include actionable agents that modify data with human approvals, field-level audit logs, and knowledge-base slices that serve as context for external agents.
AI-written summary · about
chapters (8)
- 0:00Introduction to Synthesi platform
- 1:57Platform features and governance
- 4:25Data ingestion and architecture
- 8:42Live demo setup
- 9:48Querying product data
- 12:43Reports and analytics
- 14:12Graph data visualization
- 14:53Summary and Q&A
related talks
37mLeveraging Generative AI for Enhanced E-commerce
25mReduce AI Agents Costs with Semantic tool Selection
30mBoosting Sales with Intelligent BI Agents
30mRyoma: Building Open Source AI Agents for Enterprise Data Analysis
08mHarness Graph Power With Agentic AI: An Insights Discovery Use Case
27mKnowledge Graph For Digital Twin
14mFrom 18 Months to 5 Days with Agentic AI on
01h 26mThinking in Graphs: The Cognitive Foundations of Agentic AI