Enterprise Analytics
Intelligent Business Analytics System
Real-time monitoring, metric attribution, anomaly explanation, forecasting, and executive reporting for management teams.
TAIYRA-Z provides enterprise data intelligence and generative AI solutions across Google Cloud and AWS, helping organizations build governed analytics, Gemini-powered applications, and AI agent workflows.
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
Natural-language analytics, enterprise RAG, automated reports, document intelligence, and AI agents built with Gemini on Vertex AI and other enterprise models.
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.
TAIYRA-Z designs production-grade cloud data and AI architectures using Google Cloud and AWS services for ingestion, governance, analytics, AI development, application deployment, security, and observability.
Pub/Sub, Datastream, DMS CDC, Glue Crawlers, files, IoT streams, Kafka/MSK, and Kinesis.
BigQuery, S3 Raw/Cleaned/Curated zones, Redshift Serverless, EMR Spark, Dataflow, and Managed Flink.
Vertex AI Gemini, Agent Builder, model evaluation, Bedrock Claude, Knowledge Bases, Guardrails, and workflow automation.
Cloud IAM, Cognito, GKE/Cloud Run and 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
The platform supports Gemini and other enterprise models, with routing based on workload, security, latency, context, quality, and cost requirements.
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