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Tiriel

Tiriel provides an AI workforce of six specialized agents that autonomously run freight dispatch operations—scanning load boards, negotiating rates with brokers in parallel, coordinating drivers, and processing paperwork 24/7. Dispatchers set rules for lanes, minimum rates, and driver preferences, while the system escalates only about 5% of situations requiring human judgment. The workforce operates across DAT, Truckstop, and 12 other load boards, with multilingual capabilities for English and Spanish.

Traction 8/10
San Francisco, United States · HQ
Founded 2021910+ followers
  • Logistics & Supply Chain
  • AI Agents
  • Artificial Intelligence
  • Mobility & Transportation
  • Software Only
Updated 12 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Freight dispatchers are overwhelmed by manual, time-sensitive tasks: monitoring multiple load boards, negotiating with brokers one at a time, coordinating drivers, and chasing paperwork. This limits dispatchers to running roughly 5 owner-operators in 12-14 hour days, and delays in finding or booking loads cause revenue loss and operational inefficiency.

Solution

Tiriel provides a workforce of six specialized AI agents—Planner, Scout, Closer, Coordinator, Expeditor, and Auditor—that autonomously run dispatch operations. The agents scan load boards like DAT and Truckstop, negotiate rates with brokers in parallel via phone and email, manage driver communications and check calls, and process rate confirmations and paperwork. Dispatchers set the rules (lanes, minimum rates, driver preferences), and the workforce operates within those limits 24/7, logging every action to a single feed with a full audit trail. Only roughly 5% of situations requiring human judgment are escalated for dispatcher approval. The agents share a common memory, so learnings about brokers and lanes inform future decisions across all roles.

Target Audience

Primary customers are freight dispatchers and small-to-mid-sized trucking operations in the United States managing owner-operators or small fleets, who seek to scale their capacity without adding headcount.

Features

  • Six specialized AI agents with distinct roles: Planner (truck capacity planning), Scout (load searching), Closer (rate negotiation), Coordinator (load execution), Expeditor (exception handling), and Auditor (paperwork and revenue protection)
  • Multilingual capabilities: the same workforce negotiates in English and coordinates drivers in Spanish
  • Parallel negotiation with multiple brokers simultaneously, within dispatcher-set rate floors and counteroffer caps
  • Shared memory across agents, enabling learnings about brokers and lanes to inform future decisions
  • Continuous operation across load boards (DAT, Truckstop, plus 12 others) with live match surfacing
  • Automatic detention and TONU claim filing, rate con auditing, and risk detection
  • Recorded, transcribed, and logged calls tied to each load, with full audit trail
This profile is AI-generated and may contain inaccuracies.