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Mobileye Marketing

To revolutionize automotive safety through advanced vision technology by powering autonomous mobility-as-a-service worldwide

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To revolutionize automotive safety through advanced vision technology by powering autonomous mobility-as-a-service worldwide

Strengths

  • TECHNOLOGY: Industry-leading computer vision expertise with 20+ years
  • PARTNERSHIPS: Strong OEM relationships with 50+ global automakers
  • SCALE: 800M+ vehicles with EyeQ chips generating valuable data
  • DIVERSIFICATION: Multi-layered revenue streams across ADAS to AV
  • BRAND: Trusted global reputation for automotive safety innovation

Weaknesses

  • COMPETITION: Increasing rivalry from tech giants with deep pockets
  • DEPENDENCY: Over-reliance on Intel for manufacturing capabilities
  • MARGINS: Pressure on unit economics in consumer ADAS segments
  • TALENT: Challenges attracting top AI/ML talent vs. pure tech firms
  • COMPLEXITY: Lengthy automotive qualification cycles slowing adoption

Opportunities

  • REGULATION: Global safety mandates driving ADAS adoption worldwide
  • EXPANSION: Growing demand in emerging markets with rising incomes
  • DIVERSIFICATION: Entry into logistics, delivery and robotaxi markets
  • DATA: Monetization of mapping and driving behavior insights at scale
  • TECHNOLOGY: SuperVision platform enabling higher-margin offerings

Threats

  • COMPETITION: Tesla's vertical integration and proprietary approach
  • ECONOMY: Automotive industry downturns affecting production volumes
  • SUPPLY: Semiconductor shortages disrupting manufacturing capacity
  • REGULATION: Evolving autonomous vehicle regulations across regions
  • TECHNOLOGY: Alternate sensing approaches gaining market traction

Key Priorities

  • INNOVATION: Accelerate SuperVision platform to maintain leadership
  • ECOSYSTEM: Strengthen OEM partnerships for faster market adoption
  • SCALE: Leverage 800M+ vehicle data advantage for AI improvements
  • DIVERSIFICATION: Expand into robotaxi and MaaS business models

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To revolutionize automotive safety through advanced vision technology by powering autonomous mobility-as-a-service worldwide

LEAD INNOVATION

Maintain technological leadership in autonomous driving

  • DEPLOYMENT: Scale SuperVision platform to 5 additional OEMs with 10+ vehicle models by Q4
  • VALIDATION: Complete 2M autonomous miles in challenging environments with <1 intervention/1000mi
  • ROADMAP: Finalize EyeQ7 architecture with 5x performance improvement and begin sampling by Q3
  • PATENTS: File 100+ new patents in computer vision and AI for autonomous driving applications
STRENGTHEN ECOSYSTEM

Deepen OEM partnerships for accelerated market adoption

  • ENGAGEMENT: Implement quarterly business reviews with top 15 OEM customers globally
  • INTEGRATION: Launch OEM developer portal with SDK access for 500+ automotive engineers
  • COLLABORATION: Establish 3 joint innovation labs with strategic OEM partners in key regions
  • EDUCATION: Train 1000+ OEM staff on SuperVision capabilities through certification program
SCALE DATA ADVANTAGE

Leverage vehicle data to enhance AI capabilities

  • COLLECTION: Increase REM mapping data collection to cover 25M daily miles across 50 countries
  • PROCESSING: Reduce AI training cycle time from data collection to deployment by 40%
  • QUALITY: Implement automated data validation system with 99.9% accuracy for edge cases
  • FOUNDATION: Train specialized vision foundation model using 10M+ hours of driving footage
EXPAND MOBILITY

Diversify into robotaxi and MaaS business models

  • PILOTS: Launch 5 robotaxi commercial pilots in major urban centers with 50+ vehicles each
  • PARTNERSHIPS: Secure 3 strategic MaaS partnerships with leading transportation providers
  • PLATFORM: Complete Mobileye Drive commercial platform certification in 2 key markets
  • OPERATIONS: Establish mobility operations center supporting 24/7 AV fleet management
METRICS
  • EyeQ SoC SHIPMENTS: 55M units in 2024
  • REVENUE GROWTH: 25% YoY increase to $2.1B
  • DESIGN WINS: 15 new SuperVision platform OEM commitments
VALUES
  • Safety First
  • Innovation Excellence
  • Technical Pragmatism
  • Customer Focus
  • Ethical AI Development

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Align the learnings

Mobileye Marketing Retrospective

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To revolutionize automotive safety through advanced vision technology by powering autonomous mobility-as-a-service worldwide

What Went Well

  • REVENUE: Achieved 11% YoY growth to $458M in Q1 2023 despite challenges
  • ADOPTION: SuperVision system deployment expanded to multiple OEMs models
  • PARTNERSHIPS: Secured 7 new design wins for next-gen EyeQ6 platform
  • INNOVATION: Successfully demonstrated Mobileye Drive for robotaxi operations
  • OPERATIONS: Maintained gross margin above 70% through efficiency initiatives

Not So Well

  • INVENTORY: $123M revenue impact from excess inventory in ADAS segment
  • GUIDANCE: Reduced full-year outlook creating investor confidence challenges
  • COMPETITION: Lost specific design opportunities to emerging competitors
  • PRODUCTION: Manufacturing constraints limited ability to meet demand spikes
  • MARKET: China market penetration below target due to local competition

Learnings

  • FORECASTING: Need for improved visibility into OEM inventory management
  • DIVERSIFICATION: Over-reliance on specific automotive segments increases risk
  • COMMUNICATION: More transparent guidance needed with analyst community
  • AGILITY: Faster adaptation required to shifting market dynamics and demands
  • PRICING: Value-based pricing strategy needed for premium offerings

Action Items

  • ANALYTICS: Implement advanced inventory forecasting system with OEM partners
  • SEGMENTS: Accelerate entry into commercial and robotaxi market applications
  • RELATIONSHIPS: Establish quarterly business reviews with top 10 OEM customers
  • MARKETING: Develop clear value proposition messaging for premium offerings
  • EFFICIENCY: Launch cost optimization program targeting 15% opex reduction

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To revolutionize automotive safety through advanced vision technology by powering autonomous mobility-as-a-service worldwide

Strengths

  • ALGORITHMS: Proprietary computer vision AI with 20+ years evolution
  • DATA: Massive real-world driving dataset from 800M+ vehicles globally
  • HARDWARE: Purpose-built EyeQ chips optimized for AI performance
  • EXPERTISE: 2500+ engineers focused on AI/ML vision applications
  • INTEGRATION: End-to-end AI stack from sensing to mapping to planning

Weaknesses

  • COMPUTE: Limited onboard processing compared to data center models
  • TALENT: Competition for top AI specialists from tech giants offering more
  • DEVELOPMENT: Longer validation cycles than pure software companies
  • SPECIALIZATION: Over-focus on vision AI vs. multimodal approaches
  • RESOURCES: R&D budget constraints vs. larger tech competitors

Opportunities

  • FOUNDATION: Apply foundation models to improve perception systems
  • SIMULATION: Enhance virtual testing to accelerate validation cycles
  • PERSONALIZATION: AI-driven customization of driving experiences
  • EFFICIENCY: Optimize power and processing requirements through AI
  • GENERATIVE: Apply GenAI to map creation and environment modeling

Threats

  • COMPETITION: Well-funded AI labs developing competing solutions
  • COMMODITIZATION: Generic AI capabilities becoming widely available
  • REGULATION: Potential AI oversight slowing deployment timelines
  • PERCEPTION: Public skepticism about AI safety in critical systems
  • OBSOLESCENCE: Rapid AI advancement making current systems outdated

Key Priorities

  • FUSION: Integrate foundation models with proprietary vision systems
  • SIMULATION: Scale AI training through advanced virtual environments
  • DEMOCRATIZATION: Package AI capabilities for wider market access
  • EFFICIENCY: Optimize AI performance for automotive constraints

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AI Disclosure

This report was created using the Alignment Method—our proprietary process for guiding AI to reveal how it interprets your business and industry. These insights are for informational purposes only and do not constitute financial, legal, tax, or investment advice.

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