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  1. 1

    QuantumStream

    Next-Gen AI Fleet Intelligence

    Predictive Analytics · Instant Diagnostics · Autonomous Operations

  2. 2

    What is Fleet Intelligence?

    Connected devices generate thousands of signals for internal operations — Fleet Intelligence transforms this untapped data into business value

    Transmission
    ~100 signals
    • GPS & location
    • Crash signals
    • Compliance data
    • Alerts
    10,000+
    signals
    Operational Data
    • Component diagnostics
    • Sensor calibrations
    • Performance metrics
    • Internal behaviors
    Fleet Intelligence
    Edge AI Processing
    Predictive Maintenance
    Real-time Monitoring
    Root Cause Analysis
    Pattern Recognition
    Anomaly Detection
    Transforms Into Business Value
    Cost Savings
    25-40% reduction in maintenance & support costs
    Faster R&D
    6-8 weeks earlier issue detection from field data
    Fleet Uptime
    Predictive maintenance prevents failures
    Improvements
    Data-driven product & firmware enhancements
    If this data is so valuable, why isn't everyone using it?
    The answer reveals a massive market opportunity →
  3. 3

    The Problem

    Modern connected devices produce billions of datapoints per day — but companies can't afford to collect or analyze it

    Data Volume
    5K-10K
    Signals per vehicle
    Many at 1-10ms intervals
    2-3B
    Datapoints per day
    Per vehicle
    $500K-$2M
    Annual cloud costs
    For 1,000 vehicle fleet
    Financially
    Impossible
    Streaming all signals to the cloud bankrupts the business model
    • Ingestion costs explode
    • Storage grows infinitely
    • Processing bills compound
    Technically
    Impossible
    Most teams lack telemetry + timeseries expertise
    • Complex signal processing
    • Stateful anomaly detection
    • Event correlation across time
    Requires Army
    of Experts
    Every incident needs manual human analysis
    • 2-4 hours per incident
    • Hunt through raw logs
    • Build charts manually
    Full Collection is Unaffordable — So Critical Insights Are Lost
    Can only afford to collect
    ~80 signals
    At extremely low frequency
    When failures happen
    No context
    Critical event windows lost
    Teams operate
    Blind & Reactive
    Hours to answer simple questions
  4. 4

    Our Solution

    An intelligent platform that captures only the right data, processes it at the edge, and uses AI to turn it into action

    Full Operational Intelligence Without Full Data Collection Costs
    Event-first telemetry + edge processing + AI = fraction of full collection cost with complete insights
    Smart Capture
    Get full fleet intelligence without collecting everything
    Only event windows (t₀ ± context) reach the cloud — 90-99% less than full collection
    Unified Platform
    Real-time fleet monitoring
    Smart diagnostics
    Predictive failure models
    Root cause analysis
    Instant Action
    AI-generated insights in under 60 seconds
    Powered by QuantumStream IQ
    vs. Full Data Collection
    90-99%
    Less data to cloud
    Annual Savings Per Fleet
    $0.65–2.2M
    ≈$650–2,200/vehicle/year
    Faster Resolution
    44%
    MTTR improvement
  5. 5

    How It Works

    Continuous intelligence pipeline from edge to action

    Fleet Devices (Edge)
    Real-time telemetry from connected devices
    Smart Detection: ~90%+ less data vs. full collection, same intelligence
    Cloud Pipeline
    Stream & store data at scale
    Real-time ingestion • Time-series DB • Data lake
    ML & Analytics Engines
    Process with intelligence
    ML prediction • Rule-based engines • Anomaly detection
    AI Intelligence Layer
    Make sense of everything
    Root cause analysis • Failure prediction • Cost optimization
    Automated Actions & Value Delivery
    Cost Savings
    Optimize spend
    RCA Reports
    60s diagnosis
    Predictions
    Prevent failures
    OTA Updates
    Remote fixes
  6. 6

    Your Fleet Challenges Today

    Four challenges that QuantumStream is uniquely positioned to solve

    Drowning in Data
    Modern vehicles generate terabytes daily. You're paying to store data you'll never use while missing the signals that matter.
    Unsustainable Cloud Costs
    Cloud-first telemetry costs $500K-$2M/year for 1,000 vehicles. Your infrastructure budget is exploding while value extraction lags behind.
    Days to Diagnose Issues
    Root cause analysis takes days or weeks. By the time you find the problem, it's already in thousands of vehicles.
    Always Reacting, Never Predicting
    You learn about problems from angry customers or roadside breakdowns. Proactive maintenance remains aspirational.

    The solution exists: Edge-first intelligence that captures only what matters, predicts issues before they happen, and explains root causes in minutes—all at a fraction of traditional costs.

  7. 7

    Pricing & Value

    Simple usage-based pricing with massive cost savings

    What You Get with QuantumStream

    90-99%
    Less vs. Full Collection
    Get complete operational insights without paying to collect and store everything
    AI First
    Automated Analysis
    AI-native platform automates diagnostics and insights — no large analyst team required
    All In One
    Complete Platform
    Monitoring, diagnostics, RCA, and prediction in a single unified platform

    Simple, Transparent Pricing

    Start Free
    15
    Active Assets
    Perfect for pilots & POCs
    Pay As You Grow
    12%
    of Compute Usage
    Storage passed through at cost
    1,000 Vehicle Fleet
    ~$23K
    Annual Platform Fee
    Plus discounted infra costs
    Your Total Cost Comparison (1,000 Vehicle Fleet)
    Build It Yourself
    $500K – $2M
    With QuantumStream
    $213K – $854K
    Save 57%+ with a complete AI-powered platform included
  8. 8

    Proven Results at Scale

    Real outcomes from 6 years of production deployment at a premium EV manufacturer

    Infrastructure Cost per Connected Vehicle per Hour
    Year 1
    $11.30
    Year 6
    $0.24
    98% reduction while adding RCA, advanced events, analysis & visualizations

    Architecture

    • Event-first telemetry
    • Edge rules engine
    • Targeted capture

    ML & Prediction

    • Survival models
    • 50-100 features/system
    • Calibrated horizons

    Production Scale

    • Trillions of data points
    • Hundreds of failures prevented
    • 44% MTTR improvement

    Technical Proof

    • Global fleet scale
    • 88% precision, 82% recall
    • RCA in minutes vs days

    Business Impact

    • Millions in prevented claims
    • Proactive service scheduling
    • Faster issue identification

    Your Fleet, Same Results: Deploy QuantumStream's proven architecture without needing to build your own team of Principal Engineers.

  9. 9

    Why QuantumStream

    The only platform unifying edge intelligence, causal RCA, and enterprise context

    How We Compare to Alternatives

    Capability
    QuantumStream
    AWS FleetWise
    Sibros
    Samsara
    Palantir
    Edge Rules & Compute
    Predictive Maintenance
    Causal RCA (EventTrace)
    Enterprise Blend (VIN→ERP)
    90-Day Pilot Ready

    Complete Solution: Edge-first data collection + explainable causal RCA + enterprise integration. Get all three capabilities in a single platform instead of stitching together multiple vendors.

  10. 10

    Getting Started

    From first contact to production in weeks, not months

    Implementation Timeline

    Week 1
    Discovery
    Data mapping & integration planning
    Week 2-3
    Setup
    Edge SDK deployment & data pipeline
    Week 4-6
    Pilot
    Limited fleet testing & model tuning
    Week 7+
    Production
    Full fleet rollout & optimization
    Enterprise Security
    SOC 2 compliant infrastructure with end-to-end encryption
    Production Proven
    6+ years running at premium OEM scale with 99.9% uptime
    Dedicated Support
    Technical account management & onboarding assistance
    Start Your Free Pilot
    15 active assets free forever • No credit card required • Deploy in days
  11. 11

    Live Demo

    Experience QuantumStream in action

    Launch Platform Demo

    Click anywhere to open in new tab

  12. 12

    System Architecture

    Data flow from edge to cloud, through intelligence layers, to user interfaces and automated actions

    Data Sources
    Processing
    Intelligence
    AI Agents
    Interface
    Actions
    💡 Hover/Click for details
  13. 13

    Appendix: Platform Features

    Real-time fleet monitoring and AI-powered intelligence

    FleetOps Console

    FleetOps Console

    Zero-click fleet health understanding in 3 seconds

    • Real-time monitoring dashboard
    • Fleet-wide health scoring
    • Anomaly detection & alerts
    • Customizable KPI tracking

    QuantumStream IQ

    QuantumStream IQ

    Agentic AI analyzer and system

    • Makes sense of complex data patterns
    • Interacts with users in natural language
    • Answers business & technical questions
    • Provides data-driven insights & recommendations
  14. 14

    Appendix: Platform Features

    Intelligent prediction and automated fleet operations

    Predictive Maintenance & RCA

    Predictive Maintenance

    Predict failures 30min-48hr before they happen

    • ML-powered failure prediction
    • 60-second root cause reports
    • Supplier part traceability
    • Automated remediation recommendations

    Action Hub

    Action Hub

    Centralized command center for fleet operations

    • Automated ticketing & scheduling
    • OTA updates & config changes
    • Remote diagnostics & data capture
    • Intelligent alert management
  15. 15

    Appendix: Platform Features

    AI-powered data exploration and sensor configuration

    Data & ML Studio

    Data & ML Studio

    96% time savings from 50 min to 2 min per analysis

    • Natural language data queries
    • Automatic visualizations
    • Collaborative analysis canvas
    • Custom ML model training

    Sensor Studio

    Sensor Studio

    Visual sensor configuration without code

    • Drag-and-drop sensor mapping
    • Real-time signal validation
    • Custom aggregation rules
    • Edge processing configuration
  16. 16

    Appendix: Platform Features

    Device intelligence and enterprise ecosystem integration

    Device360

    Device360 View

    Complete device intelligence in one unified view

    • 360° device health visualization
    • Component-level diagnostics
    • Historical trend analysis
    • Predictive failure warnings

    Enterprise Integration

    Enterprise Integration

    Seamless ecosystem connectivity

    • VIN to ERP traceability
    • Supplier part tracking
    • JIRA, ServiceNow integration
    • Real-time data synchronization