Datatruck raises Series A to accelerate AI-driven carrier operations
January 29, 2026
Datatruck, an AI-native TMS focused on financial automation, closed a Series A round led by Avenue Growth. The company plans to speed up product development, expand its 100+ integrations, and scale support for fleets adopting the platform.
Why this matters for operations
Most TMS tools were built for brokers first, then retrofitted for carriers. That gap forces dispatchers into manual entry, buries back-office teams in paperwork, and leaves owners waiting until month-end to see true margins.
Datatruck flips that script by making financial visibility core to every workflow. Teams get real-time profit tracking by load, truck, and lane, automated document processing via TruckGPT, and always-on communications through AI tools.
What the platform delivers
- Live margin visibility: Profit by load, truck, and lane while you work-no waiting for end-of-month cleanup.
- TruckGPT document automation: Processes rate confirmations, bills of lading, and proofs of delivery to cut repetitive admin.
- AI Dispatcher: Faster load booking across multiple load boards without constant tab-hopping.
- AI Updater: Handles routine updates with brokers and drivers around the clock so your team can focus on exceptions.
- Integrations: 100+ existing connections, with more on the way to reduce swivel-chair work.
Traction at a glance
- 1,000+ companies run operations on Datatruck
- 100,000+ daily users
- $1.7B+ in freight processed
- 300+ migrations from legacy systems
Customer outcomes
Ray Cargo scaled from 50 to 350+ trucks, eliminated multiple spreadsheets, and saved over $150,000 per year. Less manual work, tighter controls, and cleaner data made the growth manageable.
PAVA Logistics runs 200 trucks with 10-15% annual growth and full visibility into cost per mile. That level of clarity lets ops leads make decisions without guesswork.
What the new funding changes
The Series A will deepen the platform's AI features, expand integrations, accelerate the roadmap, and grow the support team. For operations leaders, expect shorter cycle times, fewer manual touchpoints, and faster time-to-value on migrations.
Practical next steps for ops leaders
- Map where profit visibility breaks down today (by load, lane, and truck) and set targets for same-day margin clarity.
- List your top five repetitive documents and measure handling time-then automate the biggest time sinks first.
- Standardize load board workflows so AI Dispatcher can take over the routine and your team can manage exceptions.
- Prep for migration by cleaning master data (customers, drivers, equipment) and agreeing on naming standards.
- Level up your team's AI skills to maximize adoption and ROI.
If you're building AI capability across your ops team, explore role-based programs here: Complete AI Training - Courses by Job.
Your membership also unlocks:
