Know your next best customers, and how to get the meetings.
A Chrome extension puts both on the carrier's LinkedIn page, no tab switching.
Illustrative example of a real RadarIQ exchange.
RadarIQ is an AI co-pilot built for one job: selling into trucking. It knows all 100,000+ active carriers and private fleets running 10 or more trucks: safety record, insurance history, fleet moves, the software they run, and it will answer a question about any of them in plain English.
Then it does the thing a database cannot: it learns alongside your reps. Every carrier they open, send or ask about teaches it what they sell, so the carriers it puts in front of them get sharper every single week.
Illustrative. Weights shown are an example of one rep's profile.
Illustrative. Carrier and contact names are fictional.
RadarNetwork turns the people your team already knows into named ways into specific carriers. Every connection is resolved to one USDOT number in the 111,076-carrier universe, and then it goes one hop further: to the people a rep can reach through a colleague, and the name of the colleague who can make that introduction.
Knowing someone is not intel. Knowing the bridge is, and that is the part no carrier database can sell you, because it comes from your own team.
Two ways to fill it, and the first one takes a minute. Import your own LinkedIn connections export and every one of them is matched to a carrier at once. Or install the Chrome extension and the map builds itself as reps prospect, from the pages they open anyway. Most teams do both.
This is the step every “relationship intelligence” tool skips, and it is the only one that matters. Get it wrong and a rep walks into the wrong company holding a confident story about someone else’s fleet.
VP of Operations, ABC Trucking. What a rep
needs is one USDOT out of 111,076, with its fleet size, safety record, insurer and renewal
date attached. Everything else RadarNetwork does depends on getting that one number right.
ABC Trucking must
appear in the carrier’s legal name. Word order is ignored. One missing word
disqualifies the match.
And when it still cannot tell, it refuses. No USDOT is ever guessed. The person stays on the account with the employer text they wrote themselves, for the rep to check — because a confidently wrong match costs more than an honest blank. For the same reason a persona that sells only to for-hire carriers is not handed private fleets, and when rows are held back the page says how many and why rather than quietly showing a shorter list.
Smart messaging
Every outreach pack and every warm-path draft is written to one doctrine — and measured against one thing: whether the person on the other end wrote back. The approach your reps are told to lead with is the one that is actually earning answers.
These are companies built over generations of hard work. Tell a man who has run trucks for thirty years that his out-of-service rate is high and you have told him something he already knows, in a message he can tell a machine wrote. DotRadar writes the other way round: it uses the federal record to earn one good question, and then asks it.
Illustrative. Carrier and contact names are fictional; the signal types, the approaches and the rules behind them are what the product actually runs.
Also in the platform
RadarIQ and RadarNetwork reach a rep in two places: the Chrome panel that rides along on LinkedIn, and the working list they build from it.
Install it once and it rides along in Chrome. When a rep opens a carrier's LinkedIn page, the panel appears alongside it with the reason to call and the way in: no tab switch, no lookup, nothing to remember. It only ever reads a page the rep opened themselves.
Illustrative. Carrier and contact names are fictional; the signal types and the data behind them are real.
RadarHQ is the working list. A carrier reaches it because a rep sent it, or because a rep asked RadarIQ and then sent it. Nothing lands there on its own.
An example of one rep's view. Your team's numbers will be your own.
RadarRoadshow turns a trip into a route. Tell it where you’ll be in the words you’d use out loud, a metro and some dates, a customer you’re already visiting, an event you’re hosting, a conference attendee list, and it plans the stops worth making while you’re in town.
A list of nearby carriers is a map. A day worth driving is a plan, and it tells you what it left out, so you can argue with it.
Nothing to configure. It reads the metro, what you sell, the live signals, and who your team already knows.
The pipeline problem
Ask a rep why they called a carrier today and you'll usually get a territory, a list, or a tool that told them the company exists. None of that is a reason to call, and none of it opens a door. So the two failure modes set in.
Cold outreach into a market where nobody takes cold calls. Activity stays high, the calendar stays empty, and the rep quietly stops trying.
AI makes it cheap to send a thousand personalized-looking emails that say nothing. It scales the volume and burns the territory at the same time.
No way to say which carriers are worth the week, no reason attached to any of them, and no idea that three people on the team already know someone inside.
What DotRadar is
Carrier data is a commodity. Relationship mapping is a category of its own. DotRadar is the only place we know of where the two are fused for trucking. The graph resolved to a USDOT number, with live federal signals on top.
Every active US carrier, refreshed from FMCSA: fleet size, authority age, safety record, insurance filings, inspections and hazmat status.
A signal is something a carrier just did that means they might buy: switching insurers three times in a year, letting a federal filing lapse, a revoked ELD device, a fleet that grew 30%. We read them from public filings the day they change.
Your team's real LinkedIn relationships, resolved to carriers and mapped a second degree out, so a rep sees not just who they know, but who their colleagues can introduce them to.
How it fits together
Separately these are two good tools. Together they close the loop a rep actually has to close: who should I call, why now, and how do I get in the door.
The rep describes their customer in a sentence. RadarIQ returns a real, sized slice of the universe and ranks it by the signals that matter to what they sell.
For each carrier in that slice, the paths the team already has. The named person inside and the colleague who can introduce them.
All of it surfaces on the carrier's page as the rep opens it, and that visit maps the org, which makes the next rep's search better.
The loop is the point: the tool gets better because reps prospect, and reps prospect more because the tool got better. Nobody is asked to maintain a database to make that happen.
A rep's morning
DotRadar doesn't ask a rep to change what they do. It attaches to it, which is why the map keeps getting better without anyone being told to maintain it.
Same page they'd have opened anyway. DotRadar recognises the company and resolves it to its USDOT number, including the messy cases, like a legal name that differs from the brand or a page covering three operating entities.
Live federal signals scored for what this rep actually sells, not a generic company score. A safety buyer and a factoring buyer looking at the same carrier see different reasons, because they are different reasons.
First-degree contacts, second-degree contacts, and the colleague who bridges each one. When a rep opens the carrier's People tab, the org and every introduction into it get mapped, once, from a page they opened themselves.
Every carrier a rep looks at makes the next rep's search better. Nobody imports a CSV twice, nobody maintains a database, and the asset belongs to the team rather than to whoever happens to still work there.
For sales leadership
Most tools report usage: logins, searches, seats consumed. That tells you whether people opened the tab. DotRadar reports what the platform did with a rep's work, measured from dated records rather than counters, so the numbers can be recomputed and audited.
An example of one rep's view. Your team's numbers will be your own.
Deliberately not a leaderboard. The moment this reads as a stack-rank, reps stop capturing honestly and the map rots, so it reports what the platform did with someone's work, never a ranking of people.
The intelligence layer
Every carrier is scored for how you sell. We keep eight separate models, one for each kind of thing people sell to carriers, from driver recruiting to insurance to factoring, so the same carrier ranks differently depending on which one you are. Federal safety data is one input into that, alongside insurance filings, detected tech stacks, hiring activity, census deltas and your own team's graph. The scoring is the product; the feeds keep it honest.
Insurance · Factoring · ELD & TMS · Maintenance · Recruiting · Safety · Tolling · Freight brokerage
Two places, both belonging to your team: a one-time connections export each rep can upload, and the LinkedIn pages your reps open in the normal course of prospecting. The extension only ever reads a page a person opened themselves.
No. A carrier reaches a rep's working list because that rep sent it there. The signals make the case; the rep still decides. Nothing is auto-assigned.
That's the normal case. Scoring is behavioural, it follows how each rep actually uses the platform, so a safety seller and a factoring seller looking at the same carrier get different reasons, ranked differently.
The carrier data and signals work on day one. The relationship map is useful as soon as the first rep imports connections, and it compounds from there. Every carrier page anyone opens improves it for the whole team.
Free, no sign-up
Type any USDOT number into the carrier risk check and you get the underwriting read: crash loss as a severity-weighted rate per truck-year rather than a raw count, high-verdict venue exposure taken from the states the carrier’s own crashes were reported in, the incumbent insurer, and whether the federal record can actually say when the policy renews. It also shows you the points it cannot see, which is the part that tells you whether to trust the rest.
USDOT 76600 · Tampa, FL · 2,801 trucks
QUALITY CARRIERS INC
22 / 49 pts
Risk points, higher is worse
22 risk read · 27 assessed, clear · 51 not in open data
133 reportable crashes in 2 years across 2,801 power units, 0.02 per truck-year. Runs eight high-verdict venues. Insured by Old Republic; the filing has stood open since 2021, so the record cannot say when it renews.
Pricing
No data add-ons, no per-record fees, no annual minimum, no sales call to find out the number.
The whole platform for every seat. The same product whether you're one rep or fifteen.
Request a demo
That's the whole promise, and it's measurable: a reason to call, a way in, and a rep who gets sharper every week. Fifteen minutes against your own territory, bring accounts you're trying to break into and we'll map them live.
Rather just ask a question? Email hello@dotradar.io and you'll get a person, not a sequence.