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LunaPath.ai

Category: AI Agents

AI-native logistics automation company building specialized AI agents that automate repetitive freight operations — carrier check-calls, document retrieval, appointment scheduling — for brokers and 3PLs. LunaPath.ai was founded in 2025. The company is led by Abhishek Porwal. Based in Chicago, IL, United States. Team size: 1-10. Total funding raised: $2.5M. Latest round: Pre-Seed. Key investors include Connect Ventures, MMC Ventures, Entropy Industrial Capital, Inovia Capital.

Founded
2025
Headquarters
Chicago, IL, United States
Team size
1-10
Total funding
$2.5M

Value proposition

Specialized AI agents that eliminate the $30B+ labor burden of manual freight operations — carrier check-calls, document retrieval, appointment scheduling — delivering 45% labor cost reduction, 61% employee efficiency boost, and ROI in under 90 days with plug-and-play integration.

Products and solutions

AI agents for: carrier check-calls and status cadences, proof-of-delivery (POD) and document retrieval, multi-channel follow-ups (voice, email, SMS), automatic TMS updates, appointment scheduling, claims initiation, detention tracking, telematics/tracking troubleshooting, voice assistant for calls, email assistant for drafting/follow-ups. 50+ purpose-built agents with preconfigured playbooks.

Unique value

Tactical, purpose-built AI agents for logistics (not a generic "super-agent") that plug into existing TMS/email/phone/APIs in under a day, usage-based pricing at fractions of generalized platforms, with preconfigured playbooks for specific freight workflows.

Target customer

North American freight brokers, 3PLs, and supply chain leaders; shippers and logistics teams at enterprise organizations

Industries served

Freight brokerage, Third-party logistics (3PL), Supply chain/logistics, Trucking and transportation

Technology advantage

Modular specialist agents (vs monolithic super-agents); usage-based pricing (lowest cost per load); plug-and-play integration within 24 hours; multi-channel (voice, email, SMS) AI that handles full job-to-be-done cycles; purpose-built for freight domain with freight-specific playbooks; lean capital-efficient operations.

How they differentiate

Modular specialist agents fine-tuned for specific freight workflows (vs broad super-agents); domain expertise from founder's deep logistics tech background; lowest cost per load through usage-based pricing; fastest time-to-value (ROI in days vs quarters); prebuilt playbooks for common freight tasks; lean operations with capital efficiency.

Main competitors

Vooma, HappyRobot, Augment (AI freight agent, raised $85M Series A)

Key partnerships

project44 (acquirer, supply chain data graph integration), Vooma, HappyRobot (fellow AI agent partners in project44 ecosystem)

Notable customers

FreightClaims.com (Brad Berlin, COO - cited as early adopter), Referenced integration with project44's Movement platform for enterprise customers

Major milestones

Sep 2025: Official launch from stealth with pre-seed funding ($2.5M from Connect Ventures, MMC, Entropy, Inovia), Sep 2025: Named to FreightTech 100 for 2026 by FreightWaves, Feb 2026: Expanded platform to AI workforce model with 30+ specialized agents, Apr 2026: Acquired by project44 in all-cash transaction

Growth metrics

45% labor cost reduction; 61% employee efficiency boost; 30% customer satisfaction lift; ROI in under 90 days; payback in weeks

Market positioning

Niche specialist in tactical logistics AI agents — positioned as the "tactical sidekick" rather than a generalized AI platform. Operates as the execution layer for supply chains, complementing visibility/analytics platforms. Acquired by project44 to become the execution layer within their decision intelligence platform.

Geographic focus

North America (US primary)

About Abhishek Porwal

Co-founder, CTO & President of DreamOrbit (supply chain/TMS solutions). Led implementations for GlobalTranz, MercuryGate, Emerge, SMC3, Trans Logistics, and Crane Worldwide Logistics. Education: Indian Institute of Technology, Delhi.

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