- Specialization
- Speech
- Business
- Software Applications
- Market
- Transportation
- Ecosystem
- Agents
- Customers
- Enterprises
More details
- Organization type
- Commercial Company
- Ecosystem
- Agents
- Business
- Software Applications
- Specialization
- Speech
- Market
- Transportation
- Customers
- Enterprises
- Delivery models
- Hosted Software
- Revenue models
- Not classified
- Listing status
- Not classified
- Latest equity round
- Not classified
- Reported funding amount
- Not classified
About
Vooma builds AI agents and orchestration software for 3PLs, freight brokers, freight forwarders, and carriers, automating workflows across voice, email, and text. Unlike general-purpose automation platforms, it is freight-specific and covers the full load lifecycle—from quoting and building through covering, scheduling, tracking, and proof of delivery—while encoding operator knowledge into shared agents.
Market
Vooma competes in logistics and freight-operations automation, applying agentic AI to the load lifecycle for brokers, 3PLs, carriers, and shippers. Its positioning is vertical and workflow-centric: it coordinates freight-specific AI co-workers across phone, email, and text and connects Quote, Build, Cover, Schedule, Track, and POD workflows on a shared data layer. This differentiates it from broader voice-AI, workflow-automation, and TMS vendors through freight-specific tribal knowledge, end-to-end execution, and outcomes measured at the load and margin level.
Vooma targets logistics companies—especially freight brokers, 3PLs, freight forwarders, carriers, trucking companies, and shippers—with high-volume, repetitive load workflows. Its primary users and buyers are logistics operations and commercial teams at mid-market to enterprise brokerages and transportation companies seeking to increase loads handled per employee and automate quoting, order entry, scheduling, coverage, and tracking.
At a Glance
Problem
Freight brokers and carriers lose time and revenue to repetitive, fragmented back-office work concentrated in email: reading quote requests, entering shipment details, building loads, scheduling, covering freight, and tracking shipments. The work is slow and error-prone, forces reps to switch among multiple systems, and leaves valuable opportunities buried in inboxes. The economics are direct: more headcount and higher cost per load, while slower responses can mean lost freight and lower team productivity.
The clearest use case is turning an inbound email quote into a priced response in seconds and, once the opportunity is won, converting the same request into a complete order in the transportation-management system. Vooma says this reduces manual entry, speeds quoting and dispatch, and lets customer-facing reps spend more time winning freight and serving customers rather than processing data.
Product / Service
Vooma is a vertical AI and back-office automation platform delivered as software integrated into logistics teams’ existing workflows. Its initial products, Vooma Quote and Vooma Build, identify incoming quote requests, connect to pricing engines and rate history, draft or send responses, and automatically build the won load in the TMS. The platform can operate from an inbox, and Vooma describes an implementation model that combines software with deployment engineers and strategists embedded with customers.
The product has expanded into Vooma Agents, a multi-channel platform for building freight-specialized autonomous agents, and Vooma Voice, which lets those agents make and receive calls. Agents can be configured in natural language and execute workflows across email, text, and voice, including quoting, load building, carrier booking, scheduling, track-and-trace, check calls, and proof-of-delivery retrieval. The intended benefit is higher loads per employee, fewer data-entry errors, faster response times, and the ability to scale without adding equivalent operations headcount.
Market
Vooma competes in vertical logistics SaaS and AI-powered freight-operations automation for brokers and carriers, sitting between existing inbox, pricing, TMS, and transportation-workflow systems. Parade is a named competitor or close alternative: Parade centers on a carrier-capacity database and sourcing workflow, while Vooma positions itself as an agentic orchestration layer that executes more of the end-to-end load lifecycle. Vooma also partners with systems such as McLeod, Greenscreens, Turvo, and Front, suggesting an integration-led model rather than a requirement to replace every incumbent system.
Vooma is clearly commercial rather than pre-revenue. It launched Vooma Quote and Vooma Build in 2023 and reported $3.6 million in seed funding plus a $13 million Series A, or $16.6 million announced funding, in May 2025. At that point it said it had signed major customers including Echo Global Logistics, MoLo/Arcbest, Arrive Logistics, Evans Transportation, MODE Global, NFI Logistics, and Sunset Transportation; revenue had grown 12.5x, transaction volume more than 32x, and hundreds of thousands of loads had been built on the platform. A later company comparison describes production usage across mid-market and enterprise brokerages, processing 50 million emails and creating 300,000 quotes per month, although the corpus does not establish the date or independent verification of those larger operating metrics.
Founders & Leadership
Funding History
Y Combinator
Index Ventures
Craft Ventures
Recent News
Vooma describes how its AI agents automate the full track-and-trace standard operating procedure, escalating only genuine exceptions.
Vooma highlighted automation across three core freight workflows: quoting, covering loads, and scheduling.
Highway identified Vooma as a technology partner and described an integration in which Highway carrier verification is embedded in Vooma’s AI agents, helping brokers secure capacity quickly while maintaining compliance.
Active Roles
11Business Model
Vooma sells B2B access to its logistics AI-agent platform through demo-led customer acquisition, automating quoting, load building, carrier booking, scheduling, and tracking workflows. Public materials do not disclose whether pricing is subscription-based, usage-based, or tied to loads.