Product Portfolio
ZHIMINDS packages data ingestion, governance, analytics, AI insight generation, and decision workflows into production-ready modules for B2B customers.
Core Stack
Data + AI
Middle platform, BI, forecasting, NL2SQL, and report automation.
Deployment
Multi-tenant SaaS
Designed for enterprise tenants, permission boundaries, and reusable services.
AI Engine
Enterprise LLMs
Supports insight generation, attribution reasoning, and natural language analytics.
Product Lines
The platform is organized around four product lines that can be adopted independently or combined into a unified operating system for enterprise data.
Enterprise Analytics
A management-facing analytics product that turns operational events into monitored KPIs, root-cause explanations, forecasts, and decision-ready reports.
Data Asset Foundation
A unified foundation for multi-source data ingestion, lakehouse layering, governance, metric modeling, and secure data service enablement.
Generative AI Layer
An LLM-powered intelligence layer for NL2SQL, business insight generation, report drafting, data governance assistance, and decision support.
Web3 Infrastructure
A managed node and chain-data service for customers who need reliable full-node access, indexed datasets, telemetry, and tenant-level quotas.
Operating Model
Each product line is designed as a repeatable module. Customers can start with a narrow business domain and expand toward a governed enterprise intelligence platform.
Assess
Identify source systems, KPI definitions, decision workflows, and security boundaries.
Build
Ingest data into lakehouse layers, standardize models, and publish reusable metrics.
Intelligence
Use LLMs, retrieval context, and ML outputs to generate insights, explanations, and reports.
Product Capabilities
The product set focuses on data reliability, explainability, and repeatable delivery instead of one-off dashboards.
Metric trees, ownership, calculation logic, and approval workflows keep business teams aligned.
Curated datasets let downstream teams consume stable, governed data products.
Table schemas, metric definitions, historical reports, and governance rules are retrievable by AI workflows.
We can map your current BI, data warehouse, and AI experiments into a phased product rollout.
