Intelligent Multi-Model Orchestration for Cross-Industry Analytics
An adaptive analytics engine powered by intelligent LLM routing that delivers instant insights across any industryβfrom retail to healthcare, finance to manufacturing. Features unified semantic layer, automated KPI discovery, predictive forecasting, and cost-optimized AI orchestration that routes simple queries to GPT-4.1 and complex analysis to GPT-5, reducing operational costs by 75% while maintaining enterprise-grade accuracy.
Critical barriers to universal analytics adoption
Analytics platforms are industry-specific and require extensive customization - what works for retail doesn't work for healthcare, creating silos.
Business teams need instant insights but data teams are bottlenecked - weeks of dashboard building for questions that should take seconds.
AI costs spiral out of control when using GPT-5 for everything - even simple queries consume expensive tokens unnecessarily.
No single source of truth - different departments use different KPI definitions causing conflicting reports and decision paralysis.
Intelligent universal platform with cost-optimized AI routing
Eight pillars of intelligent universal analytics
Unified business logic that adapts to any industry vertical. Maintains consistent metric definitions (revenue, conversion, churn) while automatically adjusting calculations based on industry context. Pre-built templates for 15+ industries with extensible custom definitions.
Analyzes query complexity and routes to appropriate model tier. Simple lookups go to GPT-4o (β¬0.001/query), complex analysis to GPT-5 (β¬0.030/query), deep reasoning to GPT-o3 (β¬0.120/query). Achieves 75% cost reduction vs naive all-GPT-4 approach.
Unified data access layer supporting 100+ connectors (SQL, NoSQL, APIs, files, IoT streams). Zero-ETL integration with Microsoft Fabric for real-time analytics. Automatic schema discovery and metadata synchronization across all sources.
Automated time-series forecasting with ARIMA, Prophet, and neural networks. Self-tuning models that automatically select best algorithm per dataset. Supports what-if scenario planning and confidence intervals for predictions.
Scans data to automatically identify relevant KPIs and metrics. Suggests industry-specific measurements and benchmarks. Generates tracking dashboards without manual configuration. Learns from user interactions to improve relevance.
Industry-aware dashboard generation with 50+ pre-built templates. Intelligent chart selection based on data characteristics and user role. Fully responsive (desktop, tablet, mobile). Supports white-labeling and custom branding.
Tracks every AI query cost in real-time with detailed breakdowns by user, department, and query type. Budget alerts and automatic tier optimization. Historical cost analysis and ROI reporting. Integration with Azure Cost Management.
Share insights via email, Teams, Slack, or embedded widgets. Scheduled automated reports with natural language summaries. Annotation system for adding business context. Decision tracking and action item management.
11-step journey with intelligent routing optimization
Same query, different context, perfectly adapted insights
Traditional analytics platforms force you to choose: either expensive customization for your industry, or generic tools that don't fit your business. This platform eliminates that choice with a universal semantic layer that adapts to any vertical while intelligent model routing cuts AI costs by 75%. Deploy in days, not monthsβno data engineering required. One platform powering insights for retail, healthcare, finance, manufacturing, and 11+ more industries with the same proven architecture.