Next-Generation Fleet Intelligence

AI-Powered Fleet Intelligence Platform

Transform fleet operations from reactive to proactive through AI-powered intelligence. Experience 360° operational visibility with real-time AI intelligence at petabyte scale. QuantumStream delivers edge-first data processing, predictive maintenance with 30-minute to 48-hour advance warning, automated root-cause analysis in seconds, and end-to-end enterprise data integration—your complete AI companion for fleet operations, engineering excellence, and executive decision-making.

90-99% Telemetry Cost Reduction

88% Prediction Precision

80% Prevented Failures

84% RCA Precision

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The Challenge

Scattered & Incomplete Data

Critical fleet data is fragmented across disconnected systems with missing sources and broken relationships. Valuable insights are lost as data is discarded without proper context or relevance, creating blind spots in operations.

Data Overload & Cost

Billions of data points collected daily from hundreds of sensors create analysis paralysis. Traditional approaches make comprehensive analysis impossible or prohibitively expensive, forcing teams to work with incomplete information.

Reactive Operations

Teams react to failures after they occur, resulting in customer strandings, emergency tows, and poor ownership experiences that damage brand reputation. No predictive capabilities means always firefighting.

Slow Diagnostics

Engineers manually review logs for hours to identify root causes. Mean time to resolution averages 2-4 hours, delaying fixes and allowing recurring issues to spread across the fleet without intervention.

Hidden Fleet Patterns

Current tools focus on individual devices, missing fleet-wide trends like supplier quality issues or design flaws that affect thousands of devices before detection. No correlation between incidents across the fleet.

Siloed Systems

Disconnected tools and platforms prevent end-to-end visibility. Service records, telemetry, manufacturing data, and supplier information exist in separate silos, making holistic analysis and decision-making nearly impossible.

Our Solution

Fleet Ops Console 360 - Real-time dashboard showing fleet health metrics, KPIs, and operational insights

Real-Time 360° Fleet Monitoring

Track millions of devices simultaneously with complete 360° operational visibility. Process petabytes of data at massive scale, detecting and classifying incidents within seconds. Zero-click fleet health understanding—see the entire operational status, active incidents, at-risk vehicles, and key performance metrics in 3 seconds.

Connectivity Dashboard showing edge intelligence, data streaming lineage, and event-first architecture

Edge Intelligence & Event-First Architecture

Deploy lightweight edge watchers on devices to monitor critical signals at the source. Achieve 90-99% reduction in telemetry costs through intelligent event-first architecture—only capture data when conditions indicate potential issues. Transform TB/day to GB/week while improving signal quality and reducing cloud latency from minutes to seconds.

Predictive Maintenance Dashboard showing risk overview, at-risk vehicles, and prediction accuracy metrics

AI-Powered Predictive Maintenance

Continuous 360° risk scoring for every device with 88% precision. Advanced ML models predict failures with 30 minutes to 48 hours advance warning. Prevent 80+ strandings per month and convert unexpected breakdowns into scheduled maintenance. Proactive service scheduling reduces warranty costs by 33% while dramatically improving customer satisfaction.

Root Cause Analysis Dashboard showing causal network graph and physical event chain

AI-Powered Root Cause Analysis

Generate interactive causal graphs automatically in seconds using advanced AI algorithms. Reduce MTTR from 3.2 hours to 1.8 hours (44% improvement) with 84% precision on first guess. Apply domain knowledge templates to trace effects back to root causes through multi-signal correlation analysis, replacing hours of manual log review with instant insights.

Enterprise View Dashboard showing supplier risk analysis and fleet-wide insights

End-to-End Enterprise Integration

Link every device to supplier components, manufacturing batches, production dates, and assembly plant locations. Correlate incidents to supplier quality metrics and detect quality issues 6-8 weeks earlier. Complete supply chain visibility enables rapid response to systemic issues affecting thousands of devices before widespread impact.

QS-iQ Intelligence Dashboard showing AI-powered chat, voice commands, and document analysis features

AI Companion

Your complete AI companion democratizing fleet analytics for operators, engineers, and executives. Natural language interface (QS-iQ) with AI-powered intelligence—ask questions in plain English, get instant visualizations and insights. Autonomous investigation, context-aware navigation, automated incident summaries, and multi-modal analysis combining text, signals, logs, and images for comprehensive 360° understanding.

Platform Capabilities

Fleet Ops Console 360

Zero-click understanding of entire fleet health with 360° operational visibility in 3 seconds

Predictive Analytics

88% precision AI-powered risk scoring with 30min-48hr prediction horizons

AI Root Cause Analysis

Automated causal graphs in seconds with 84% precision—not hours

Sensor Studio

Configure sensors, events, anomaly detection, derived features, log analyzers, and rule engines for edge or cloud deployment

Enterprise Data Hub

Link incidents to suppliers, batches, manufacturing, service, and plants for 360° traceability

AI Assistant

Natural language interface with AI-powered intelligence for comprehensive fleet insights

Data Studio

ML and data platform backend for algorithm development, SQL queries, data extraction, and processing with open-source tools

Industry Applications

Starting with automotive, expanding to mission-critical operations across industries

Current Focus

Automotive

Our foundation and current focus. Proven fleet intelligence platform delivering predictive maintenance, real-time monitoring, and AI-powered diagnostics for connected devices. Demonstrated ROI with 90-99% cost reduction and 80%+ failure prevention across thousands of devices.

Data Centers

Server fleet monitoring and predictive hardware failure detection. Apply proven edge intelligence to optimize uptime, prevent outages, and reduce maintenance costs across distributed computing infrastructure at scale.

Manufacturing and Robotics

Manufacturing equipment and industrial robot fleet management with predictive maintenance and operational efficiency monitoring. Prevent production line disruptions through intelligent failure prediction and automated diagnostics for assembly lines, robotics, and automation systems.

Smart Home

Connected home device ecosystem monitoring and predictive maintenance. Track HVAC systems, security devices, appliances, and IoT sensors at scale. Prevent failures before they impact homeowners with AI-powered diagnostics and automated issue resolution.

Wearables & Health

Medical wearables and health monitoring device fleets. Real-time anomaly detection, device performance tracking, and predictive alerts for patient safety. Ensure reliability of critical health monitoring equipment with continuous intelligence and failure prevention.

Defense & Critical Infrastructure

Mission-critical systems monitoring for defense applications and essential infrastructure. Enhanced reliability, operational readiness, and predictive maintenance for systems where failure is not an option.

Meet Our Team

Sam Jafari

Co-Founder & CEO

Former Director at Lucid Motors | AWS | Twitter | 16+ Years in Big Data, ML & AI

Pioneered Lucid Motors' Data, AI, and IoT organization, achieving edge computing innovations that processed trillions of daily telemetry records. Delivered AI-powered predictive maintenance and real-time diagnostics preventing device failures at scale. Combined with leadership roles at AWS and Twitter, brings proven expertise in cloud-edge architectures, distributed systems, and ML platforms to revolutionize fleet intelligence.

Mostafa Alinejad

Co-Founder & Chief Technology Officer (CTO)

Senior Manager, Data and AI at Lucid Motors | Data Architect at OpenTable | 17+ Years in Big Data, AI & Analytics

Partnered with Sam at Lucid Motors to architect the company's Data, AI, and Fleet Intelligence platform, achieving 23x efficiency gains processing petabyte-scale telemetry. Built enterprise solutions powering predictive maintenance, ADAS, and real-time monitoring at massive scale. Previously Data Architect at OpenTable designing scalable data warehousing platforms. Expert in cloud-native architectures and distributed systems.

Dr. Mohsen Babaeian

Co-Founder & Chief Marketing Officer (CMO)

Researcher and Lecturer, CSU Long Beach & CSUSB | Ph.D. in Engineering & AI/ML | Founder & CEO, Intelligent eHome

AI and ML expert specializing in real-time intelligent systems and IoT device monitoring. Founded Intelligent eHome, developing AI-powered connected-home systems with predictive analytics and smart automation. Ph.D. research in machine learning algorithms for real-time signal analysis and pattern recognition—directly applicable to QuantumStream's fleet intelligence and predictive maintenance. Brings expertise in embedded systems, hardware-software integration, biomedical signal processing, and automated diagnostics to drive QuantumStream's AI-powered vision across multiple industries.

Advisors

Pouria Sanaei

Co-Founder & CEO of ixlayer

Strategic guidance on market positioning and enterprise partnerships

Our Mission

To revolutionize fleet operations through 360° AI-powered intelligence—transforming automotive fleet management from reactive incident response to proactive failure prevention with real-time, petabyte-scale edge processing that reduces costs by 90-99% while improving reliability.

We empower fleet operators, engineers, and executives with unprecedented 360° operational visibility and AI-powered insights, enabling them to predict and prevent device failures before customer impact while dramatically reducing time, costs, and operational complexity through intelligent automation and natural language interfaces.

Our Vision

To become the industry-standard AI-powered fleet intelligence platform for the automotive industry and beyond, delivering 360° operational coverage to 1M+ devices globally and preventing billions in warranty costs through edge intelligence, predictive AI, and automated diagnostics.

We envision a future where device failures are predicted and prevented before they impact customers, where AI-driven insights enable continuous quality improvement across suppliers and manufacturing, and where every fleet operates at peak efficiency with complete operational transparency and AI-assisted decision-making accessible to everyone, not just data scientists.