Entering the Era of Intelligence: Ada.im Launches Large Model-Driven Metrics Platform

Keywords: Metrics Platform, Large Model-Driven, Data Democratization, Intelligent Analytics, Hyper Metrics Engine

Executive summary

Ada.im has officially released its next-generation, large model-driven metrics platform, representing a major step into the "Indicator Platform 3.0" era. The unified system integrates management, development, and application to make data dramatically easier for business teams to use.

• High performance: Millisecond-level queries on large datasets
• Automation: One-click integration, lineage, versioning, and pre-computation
• Intelligence: Natural language queries and automated reporting via a smart assistant

By combining NL2MQL (Natural Language to Metric Query Language) with intelligent agent technology, the platform avoids common NL2SQL pitfalls and delivers accurate, stable, efficient analytics.

The manage, develop, apply trinity in indicator platform 3.0

Understanding the metrics platform

A metrics platform is a unified tool for defining, processing, managing, and using business metrics. It enables self-service creation and access, custom dashboards, smart alerting, and root-cause analysis to align daily operations with business goals.

The evolution: From 1.0 to 3.0

The 1.0 era: Management foundation

• Focus: Metric management and cataloging
• Context: Built within data middleware frameworks
• Limitations: Limited development capabilities; fragmented definitions

The 2.0 era: Unified development

• Integration: Management + development
• Approach: Define once, use everywhere
• Benefits: Unified definitions and cross-business reuse

The 3.0 era: Complete integration

• Drag-and-drop access for non-technical users
• Natural language querying for instant reports
• One-click smart alerts with root-cause analysis
• Automated insights for fast, effective data use

“Platform 3.0 isn't just about managing metrics or creating them—it's about making data insights immediately actionable for every business user, regardless of technical expertise.” — Tan Li, Co-founder, Ada.im

High-performance, automated, and intelligent upgrades

1. High performance: Solving the “impossible triangle”

The platform uses leading MPP database technology to deliver 5–10x speed improvements. Ada.im’s Hyper Metrics Engine (HME) enables highly flexible analysis with millisecond-level access, optimizing virtual and pre-computed metrics to achieve flexibility, speed, and low cost simultaneously.

Traditional trade-offs

• Flexibility + speed = high cost
• Speed + low cost = low flexibility
• Flexibility + low cost = slow processing

How HME resolves them

1. Intelligent pre-computation
2. Virtual metric management
3. Adaptive query routing
4. Distributed processing

Performance highlights

• Query response: < 100ms for 90th percentile
• Scale: Billions of records with sub-second response
• Concurrency: Thousands of users
• Cost: 70–80% reduction vs. traditional approaches

2. Automation: Eliminating manual operations

Automated data integration

• Auto-discovery: Finds data sources
• Smart mapping: Handles schema changes
• Speed: Minutes, not days

Automated metric lineage

• Origins & transformations
• Dependencies & logic
• Downstream usage
• Change history

Automated version management

• Tracking: All changes
• Propagation: Updates dependencies
• Rollback: One-click

Automated pre-calculation

• Identification: Frequent metrics
• Optimization: Granularity and refresh
• Impact: Near-instant common queries with lower compute

3. Intelligence: Natural language meets business analytics

Conversational queries

Business users ask in plain language and receive instant, accurate answers—no technical training required.

Smart attribution and knowledge use

• Root causes of metric changes
• Context via knowledge bases
• Domain methods and impact prioritization

Automated reports

• Comprehensive narratives and recommendations
• Scheduled or on-demand delivery

Ada.im’s large model-driven path: NL2MQL + agent

Limitations of large models alone

Direct NL2SQL often suffers from semantic gaps, accuracy issues, slow performance, and unreliable interpretation.

Integrated solution: Platform + LLMs + agents

NL2MQL innovation

Two-step translation improves accuracy and speed:

1. Natural language → metric semantics
2. Metric semantics → optimized SQL

HME integration

• Sub-second responses for complex queries
• Automatic optimization at enterprise scale

Industry-specific intelligence

• Finance: Compliance, risk, ratios, portfolios
• Retail: Segmentation, inventory, merchandising, attribution
• Manufacturing: Quality, efficiency, supply chain, maintenance

Data democratization: Ada.im’s core mission

Lowering the barrier to usage

• Self-service tools with no training
• Drag-and-drop exploration
• Natural language queries
• Automated insights

Impact: 50%+ employees using data effectively vs. 5% previously; instant insights; reduced analyst dependency.

Value creation

• Automatic opportunity/risk identification
• Root cause analysis
• Actionable recommendations
• Continuous learning

Looking ahead: The future of data analytics

Strategic vision

• Industry coverage: Healthcare, energy, public sector, education
• Capabilities: Predictive/prescriptive analytics, autonomous decisions, collaboration, streaming
• Ecosystem: Partner integrations, open APIs, community, standards
• Innovation: Next-gen models, agent reasoning, semantics, hyperscale performance

Invitation to collaborate

• Pilot programs and working groups
• Best practice sharing
• Co-creation for unique challenges

Key takeaways: What Platform 3.0 means for your organization

• Intelligent metrics era: From static dashboards to conversational analytics
• Impossible triangle solved: Flexibility, speed, low cost together
• Automation: IT shifts from bottleneck to enabler
• NL access: Production-ready with NL2MQL accuracy
• LLMs need structure: Robust semantic foundation
• Democratization: 5% → 50%+ user adoption drives value

Technical deep dive: Architecture

Complete technology stack

Layer 1: Data foundation

• MPP database
• Multi-source integration
• Batch + streaming
• Governance controls

Layer 2: Semantic intelligence

• Unified metrics catalog
• Business glossary
• Lineage tracking
• Version control

Layer 3: Compute optimization

• Hyper Metrics Engine
• Pre-computation management
• Virtual metrics
• Distributed processing

Layer 4: Intelligence layer

• Large language models
• NL2MQL translation
• Intelligent agents
• Knowledge graphs

Layer 5: Application experience

• Conversational interface
• Visual analytics
• Automated insights
• API integration

Implementation roadmap

Phase 1: Foundation (Weeks 1–4)

• Objective: Governance and integration
• Deliverables: Catalog, pipelines, framework, training

Phase 2: Optimization (Weeks 5–8)

• Objective: High-performance queries
• Deliverables: HME deployment, benchmarks, scaling, monitoring

Phase 3: Intelligence (Weeks 9–12)

• Objective: Natural language analytics
• Deliverables: Conversational interface, accuracy, pilot feedback

Phase 4: Scale (Weeks 13+)

• Objective: Enterprise rollout
• Deliverables: Access, advanced analytics, impact, improvement

Success stories: Early adoption

Retail chain: Real-time operational intelligence

• Time to metrics: −90%
• Efficiency: +15% in first quarter
• Analysts: Shifted to strategic work

Financial services: Automated compliance

• Reporting time: 3 weeks → 2 hours
• Audit trail: Complete and accurate

Manufacturing: Predictive quality

• Detection time: Days → minutes
• Defects: −60%
• Savings: $2M+ annually

Conclusion: The intelligence era has begun

Ada.im’s Metrics Platform 3.0 unifies management, development, and application, delivering high performance, complete automation, and genuine intelligence. It transforms data into a business accelerator accessible to all while maintaining enterprise-grade accuracy and governance.

About Ada.im

• Innovations: Metrics Platform 3.0, NL2MQL, Hyper Metrics Engine, agent orchestration
• Website: ada.im
• Contact: contact@ada.im

Topics: #MetricsPlatform3.0 #LargeModelDriven #DataDemocratization #IntelligentAnalytics #HyperMetricsEngine #NL2MQL #AIAgents #EnterpriseAnalytics #BusinessIntelligence