Last verified Oct 21, 2025
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    Project44

    Supply Chain Visibility / Logistics Technology

    Data & AnalyticsSupply-Chain-VisibilityLogistics-AIMultimodal-TrackingIntelligence
    Function:Operations
    Subfunction:Supply Chain / Logistics
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    Founded
    2014
    Employees
    ~789 employees
    Funding
    ~$897M-$912M
    Stage
    Late-stage SaaS unicorn ($100M+ ARR, $2.7B valuation)
    Report version: Oct 21, 2025

    1. Products/Services & Features

    • Main Offerings:

      • Decision Intelligence Platform (formerly Movement) – AI-powered visibility & orchestration
      • Intelligent TMS – unified, multimodal transportation management
      • Autopilot (beta 2025) – autonomous disruption resolution & workflow automation
    • Feature Breakdown: Real-time shipment tracking across all modes • Predictive global ETAs • Multi-agent AI orchestration • Data validation & enrichment • Dynamic pricing & rate negotiation • Collaboration & messaging • Carbon & emissions insights • Yard management & dock scheduling (Departments: Ops, Supply-Chain, Logistics, IT, Digital Transformation)

    • Business Industry Gearing: Retail, Manufacturing, Automotive, CPG, Life Sciences, F&B, Oil & Gas

    2. Security & Compliance

    • Certifications: SOC 2 Type II certified (renewed annually), ISO/IEC 27001 • GDPR compliant

    • Vendors/Tools: Independent auditors (The Cadence Group) • Cloudflare CDN • HSTS • DNSSEC

    • Risk Profile:

      • Breaches: No publicly reported breaches as of Oct-2025
      • Features: Comprehensive audit trails • Continuous vulnerability management • Vendor risk assessments

    3. User Feedback & Adoption

    • Aggregated Reviews: G2: 4.8/5 (98% 4-5★) • Capterra: 4.7/5

      • Pros: High visibility accuracy • Easy carrier onboarding • Excellent support • Predictive analytics
      • Cons: Occasional support ticket delays • Complex integrations for some forwarders
    • Adoption Insights:

      • Adoption Ease: Cloud SaaS, API-first, onboarding team accelerators
      • Adoption Cultural Fit: Data-driven, automation-friendly organizations
    • Metrics: High retention; consistently #1 on G2 Grid (12 seasons)

    • Barriers: Integration with legacy TMS/ERP; change management for autonomous workflows

    4. Monetization & Business Model

    • Revenue Model: SaaS subscription + usage-based (API calls/shipments) + tiered + enterprise custom

    • Pricing: Baseline ~$500/user/month; volume-based & custom enterprise (Sources: Capterra listing; industry blogs; direct sales info)

    • Market Context:

      • TAM: Global freight tech ~$25B visibility/TMS segment
      • Growth Stage: High-growth; expanding into AI autonomy

    5. Leadership & Recent Developments

    Name Description LinkedIn X Account
    Jett McCandless Founder & CEO; 25+ yrs logistics tech, ex-GlobalTranz https://www.linkedin.com/in/jett-mccandless-b16235119 https://twitter.com/freightpipes
    Partha Ramachandran Chief Technology Officer; ex-Google Cloud, AI/ML leader https://www.linkedin.com/in/partha-ramachandran
    Mark Strassman Chief Product Officer; ex-GoTo, Blue Yonder https://www.linkedin.com/in/markstrassman
    • Key Metrics Update:

      • Funding: $80M venture round (Dec-2024) at $2.7B valuation
      • Employee Growth: ~+10% YoY (LinkedIn 2024→2025)
    • News/Trends:

      • News Launch: Jun-2025: Decision Intelligence Platform rebrand
      • News Partnerships: Ongoing TMS/ERP integrations; Reuters SCM workshop 2025
      • News Funding: Oct-2025 press on growth, no new raise since 2024
      • News Challenges: Layoffs May-2023 & Jul-2022; market downturn impact

    6. Target Audience & Use Cases

    • Target Market: Enterprise shippers, 3PLs, carriers with global, multimodal supply chains

    • Target Users & Personas: Supply chain & logistics leaders, planners, carrier ops, IT

    • User Experience Level: Mid-senior professionals familiar with TMS/ERP

    • Key Use Cases:

      • Predict & mitigate shipment delays via AI ETAs
      • Automate carrier rate negotiation & booking (FTL)
      • Autonomous disruption response (Autopilot)

    7. Impact & Recommendations

    • Measurable Outcomes:

      • Workflow Improvements: ~40% fewer manual status calls; <20% reduction in detention fees
      • ROI Examples: Target saved $15M/year in reduced chargebacks (case study)
    • Fit Assessment: Strong fit for complex, high-volume, global logistics networks needing proactive AI

    • Custom Rec Flags:

      • Priority ICP: Fortune 1000 manufacturers & retailers with multimodal freight
      • Short Term Goals: Expand Autopilot beta; deepen AI agents orchestration

    8. Data Sourcing Notes

    • Other sources: Press releases, Gartner MQ 2025, G2 reports

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