One telematics network.
Combine the data already in the equipment with the data arriving over the next two trade cycles into a single network — and compound the value of both.
The platform
You turn on only the capabilities you need, on one required foundation.
The foundation
Optimization
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Our beliefs
How the market changes from here — and the operating truth Freight Science is built on.

The consolidation ahead
Before 1980, interstate trucking ran on operating authority granted by regulators, and the industry was a relatively small number of large carriers. Deregulation removed that protection and rebuilt the field from the ground up — hundreds of thousands of owner-operators and small fleets, each making local decisions on incomplete information, and a structure that has barely changed in the decades since.
The next decade compresses that field, and the operators who build for it early will define the terms for the ones who follow. What separates them is not the number of trucks. Shipment and rate data sit inside individual companies, so most operators cannot see the network they are working in — and a carrier that can see its own whole network is already operating on something its competitors do not have.
What the winners will do
Combine the data already in the equipment with the data arriving over the next two trade cycles into a single network — and compound the value of both.
Network optimization removes the manual cost of dispatch, routing, assignment, and sales — starting with clerical tasks and moving up.
Accumulated operating data turns into prediction: maintenance before it breaks, pricing before it moves, demand before the trucks fall short.
Long before driverless trucks, the same equipment-and-information infrastructure makes the operation itself increasingly autonomous — automating the routine work and optimizing the decisions that run the network today. Autonomous equipment is the eventual destination; optimized, increasingly autonomous operations are where the value is realized now.
Why the market is uneven
Deregulation rebuilt the industry from the ground up as a fragmented field of owner-operators and small fleets — and the structure has barely changed since.
Even the largest carriers control a small share of capacity. Scale advantages that exist elsewhere have never been fully built here.
Wild seasonal and cyclical swings condition operators to undervalue the steady, compounding gains predictability creates.
Most contracts carry little penalty for missing a truck or missing a rate — so the discipline that would force better systems never arrives.
Shipment and rate data sit inside individual companies, so nobody can see the network they are operating in. Transparency is both the chronic problem and the opening — whoever earns the right to hold that data across operations is the one who compounds on it.
Why technology has failed before
Earlier tools were optimal against a network that did not exist. We optimize the operation as it runs — on the constraints that live as tribal knowledge everywhere else.
Regulatory timeline
1980
The Motor Carrier Act of 1980 deregulates trucking — alongside the Staggers Rail Act — creating the highly fragmented market, and the wide range of operator sophistication, we still see today.
2017
Mandatory electronic logging compresses available driving hours and pressures the least-sophisticated small operators.
2020
A federal database removes non-compliant drivers from the road.
2025
ELP violations are restored to the out-of-service criteria (effective June 25, 2025), tightening the lower-sophistication end of capacity.
Source: FMCSA Newsroom2025–2026
An emergency rule (Sept 2025), finalized Feb 2026, is projected to remove roughly 40,000 drivers per year over five years — raising the value of utilization and optimization.
Source: Federal Register2026
A unanimous Supreme Court ruling lets state negligent-selection claims proceed against freight brokers, turning carrier selection into a core safety-and-legal function that rewards data-rich, sophisticated operators.
Source: U.S. Supreme Court OpinionsEach step raises the cost of compliance and the consequences of error — and rewards scale, data, and sophistication.
“Freight Science has provided the opportunity for us to see the promise of AI realized. That is for the machines to make the predictions and the humans to perform the value-add work machines can’t. We are making better decisions which have improved our network balance, revenue, and customer service. Automation of rote tasks has enabled our customer service team to focus on customer relationships and inside sales opportunities.”
Kim L.
SVP & CIO · 2,000-truck truckload carrier