A model that knows one domain completely.
General models guess at trucking. Navric AI is trained end-to-end on the government's transportation record (millions of inspections, violations, and carrier filings), so it reasons in the language of the DOT.
Vertical, not generic
Every parameter is learned from the federal transportation record, so it reasons in the language of the DOT, not around it.
Always current
It learns continuously as FMCSA publishes new SMS data, so its read of your fleet moves the moment your record does.
Grounded by design
Each answer is built from your live record and cites the inspection behind it: synthesis you can trace, not a guess.
Put it to work on your fleet.
One assistant across every BASIC, inspection, and driver on your record. Ask in plain language, it returns the specifics and the next move.
Decode any violation
Plain-language meaning of any FMCSA code, and what it costs your score.
Find your heaviest item
What's pushing a BASIC up right now, and exactly which unit it's on.
Draft a DataQs dispute
Build the challenge for a citation your record can contest, written before you open it.
Measure against threshold
How close any BASIC sits to its FMCSA intervention line, to the point.
Brief me on a driver
Every inspection and violation tied to one driver, synthesized into a read.
Summarize the month
New inspections since your last review, ranked by what to fix first.
Watch it think, in real time.
The live model on ACME Transport's record: every answer reasoned out and traced to the inspection behind it.
Navric AIIt reasons over your record, and shows its work.
Ask a cross-cutting question and Navric AI doesn't just retrieve a number. It weighs the signals the way SMS does, names the driver, and tells you the move.
Inspection TX-5512030 posts to your record: three brake violations, out-of-service, dated this month.
Because it's under six months old it counts ×3, and Vehicle Maintenance was already your top BASIC at 61. Two of the three violations are on Unit 118, a recurring slack-adjuster defect, not a one-off.
Log the repair to clear the open inspection, and if the adjustment was within spec, challenge the May citation through DataQs. As the item ages past six months its weight drops to ×2, then ×1.