The Intelligence Behind SynIntel
Built for enterprise scale, security, and business context
Every interaction with SynIntel is powered by governed AI that understands your enterprise not just your data. By combining structured information, business knowledge, and contextual reasoning, SynIntel delivers accurate, explainable, and actionable intelligence where your teams need it most.
Core Principles
Our foundation is built on absolute data, control and execution governance
Data Control
- Compute moves to data
- No data movement outside infra
- Read-only execution
Execution Governance
- Multi-layer query validation
- Permission-aligned generation
- Strict logical isolation
Traceability
- 100% traceable interactions
- Stateless & horizontal scaling
- User-query execution path logs
Platform Architecture
Four-Layer System Design
Layered Intelligence - your data stays where it is; SynIntel brings governed AI execution to it.
Platform Architecture
Four-Layer System Design
Intelligence is delivered in layers - your data stays where it is; SynIntel brings governed AI execution to it.
Request Lifecycle
End-to-End Governed Execution
Natural Language Input
Query submitted via UI, assistant, or API
Intent & Context Parsing
Schema mapping, entity resolution
Query Generation
SQL or MQL from parsed intent
Validation Layer
Schema, permissions, read-only enforcement
Source Execution
Runs on your DB - no data copy
Output Transform
Dashboards, insights, or assistant replies
Audit & Trace Log
Full record per request, always
Multi-Agent Orchestration
Specialized AI agents working behind the scenes to understand intent, query data, and format output - delivering accurate results without user effort.
No Training on Customer Data
Strict per-tenant isolation of memories and opt-in learning.
MQL/ SQL AI Agent
Generating MQL/ SQL query with 3 AI Agents: planner, builder, validator
Retriever AI Agent
Retrieves Chunks/ Data
Selector AI Agent
Ranks available chunks/ Responses
QA AI Agent
Validates each retrieved Responses
Summarizer AI Agent
Generates the final comprehensive answer
Human-in-the-loop
Optional approval flow for sensitive queries (PII/Finance) with explain + confirm mode before execution.
Agent Memory Policy
Governed retention (TTL) and per-tenant isolation ensures memory remains secure and private.
Built-In Enterprise Safeguards
No Data Replication
Your data never leaves your governed environment - no copies, no external storage
No External Exposure
Zero egress to public infrastructure, VPC and air-gapped deployments supported
No Access Bypass
Every query passes through RBAC validation with no exceptions and no workarounds
No Unsafe Query Execution
DML and DDL operations blocked at the engine level on every request
No Generic AI Responses
Assistant is operationalized around your data, not generic chatbots
No Shadow BI Pipelines
Live schema introspection replaces any need for a separate semantic layer
Enterprise-grade data protection, by design
Every Interaction, Fully Traceable
SynIntel enables Compliance, Governance, and Debugging without additional tooling.
User Identity
Authenticated user records captured on every request.
Source Context
Connection and table references logged for full schema awareness.
Exact Query
SQL/MQL stored and reviewable for total transparency.
Latency Timing
Precise execution timing recorded per operation.
Result Metadata
Row counts, cache status, and response types captured.
Unified Billing
Audit trails serve Compliance, Debugging, and Billing out of the box.
Works With What You Already Use
Databases
PostgreSQL, MySQL, SQL Server, MongoDB
Warehouses
Snowflake, BigQuery, Redshift
BI tools
Metabase, Mode
Performance & Scalability
Designed for High Throughput
Optimization
Feature Mapping for Compliance Support
Compliance Name
SynIntel Feature Mapping
What Makes SynIntel Different
| Capability | SynIntel | Traditional BI | AI Query Tools |
|---|---|---|---|
| Dashboards | Dynamic | Limited | |
| AI Assistants | Basic | ||
| Context Awareness | Limited | ||
| Governance | Strong | Weak | |
| Reusable Intelligence | |||
| Works with Existing Systems |