P

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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