Enterprise Analytics
Intelligent Business Analytics System
Real-time monitoring, metric attribution, anomaly explanation, forecasting, and executive reporting for management teams.
ZHIMINDS helps enterprise teams unify ingestion, governance, analytics, and AI-powered insights in one production-grade platform.
Realtime Pipeline
18ms
p95 refresh
Operational Coverage
53
active domains
Decision Reports
1.8k
monthly generated
We transform fragmented operational data into a governed, analyzable, and actionable intelligence fabric.
Enterprise Analytics
Real-time monitoring, metric attribution, anomaly explanation, forecasting, and executive reporting for management teams.
Data Asset Foundation
Multi-source ingestion, Raw/Cleaned/Curated lakehouse layers, governance, reusable models, and secure data services.
Generative AI Layer
Claude-powered NL2SQL, automated analytical reports, business insight generation, and decision support workflows.
Web3 Infrastructure
Managed full-node operations, indexed chain data access, monitoring, and enterprise-grade availability.
Solution Scenarios
The platform connects enterprise operations, AI analytics, and Web3 infrastructure into reusable service modules.
Kinesis/MSK streaming, Flink aggregation, alerting, and live business KPI tracking.
Embedded dashboards, governed metrics, scheduled reports, and management-ready narratives.
Ask business questions in natural language with governed NL2SQL and metric context retrieval.
Full-node tenant access, indexed blockchain datasets, status telemetry, and tenant-level quotas.
A production-grade AWS modernization path for data platforms, AI workloads, and multi-tenant SaaS delivery.
DMS CDC, Glue Crawlers, files, IoT streams, Kafka/MSK, and Kinesis.
S3 Raw/Cleaned/Curated zones, Redshift Serverless, EMR Spark, and Managed Flink.
Bedrock Claude, Knowledge Bases, Agents, Guardrails, SageMaker, and workflow automation.
Cognito, EKS microservices, Aurora, DynamoDB, Redis, WAF, KMS, and CloudWatch.
Security by design
IAM, KMS, WAF, Secrets Manager, VPC isolation, CloudTrail, and Macie.
Elastic AI consumption
Model routing across Opus, Sonnet, and Haiku for cost, latency, and reasoning depth.
Operational observability
CloudWatch monitoring, platform auditing, tenant telemetry, and full-link alerts.
A compact view of the production layer behind every workspace: availability, event volume, pipelines, and tenant adoption.
99.95%
Platform Availability
2.3B
Daily Event Processing
120+
Production Pipelines
84
Enterprise Tenants
Operating Console
Data onboarding
42 active
Semantic metrics
186 governed
AI report runs
1.8k monthly
Node traffic
730M calls
Delivery Tracks
Week 1
Connect data sources, map ownership, and create governed workspace foundations.
Week 2-3
Launch dashboards, anomaly alerts, semantic metrics, and AI-assisted analysis flows.
Ongoing
Operate pipelines, model routing, report schedules, and tenant-level observability.
Dense implementation snapshots across retail, manufacturing, and Web3 infrastructure.
Unified POS, ERP, CRM, inventory, and member data into live executive reporting.
37%
Forecast lift
11h
Weekly reporting saved
Connected equipment streams and planning systems for demand forecasting and yield analysis.
24%
Planning cycle cut
6
Core plants linked
Built managed node telemetry, quota controls, indexed datasets, and health reporting.
99.97%
Service health
730M
Monthly calls