How We Find Your Perfect Match
We use advanced AI to understand carriers the way you do - by looking at the whole picture, not just individual numbers.
Numbers Alone Don't Tell the Story
Imagine two carriers, both with 3 trucks. Are they similar? Not necessarily.
3 trucks, serves 2 states, no sleeper cabs, mostly day routes
3 trucks, serves 15 states, all sleeper cabs, long-haul routes
Traditional search would say these are identical. But you know they're completely different businesses.
We Teach AI to See the Whole Picture
Our AI doesn't just look at one number at a time. It understands how all the pieces fit together - just like an experienced broker would.
Take a Snapshot
First, we collect everything we know about a carrier - over 60 different data points.
- Fleet size and equipment types
- States and regions they serve
- Safety scores and inspection history
- Cargo types and specializations
Add Context
Here's where the magic happens. Each data point "talks" to every other data point to understand what it really means.
Think of it like this:
When you see "3 trucks," you instantly look at other clues - states served, equipment type, cargo - to understand the business. Our AI does the same thing, but across millions of carriers.
The AI learns that "3 trucks + 2 states + no sleepers" means something completely different from "3 trucks + 15 states + all sleepers."
Create a Fingerprint
All this context gets compressed into a unique "fingerprint" - a mathematical signature that captures everything about how a carrier operates.
We call this an "embedding"
It's like a carrier's DNA. Two carriers with similar fingerprints operate similarly - even if their raw numbers look different.
Find Your Match
When you search for a carrier, we compare their fingerprint against 2.3 million others to find the closest matches.
- Results ranked by how similar they truly operate
- Finds hidden similarities humans might miss
- Returns results in milliseconds
Trained on the Entire Industry
Our AI has learned patterns from every registered carrier in the country.
For the Technically Curious
Under the hood, we use a transformer architecture with self-attention - the same technology behind ChatGPT, but specialized for structured carrier data.
The model is trained using masked column reconstruction - we hide random data points and ask the AI to predict them from context. This forces it to learn deep relationships between all carrier attributes.
The result is a 128-dimensional embedding for each carrier that captures their operational DNA. Similarity is computed using cosine distance, enabling sub-100ms searches across millions of carriers using vector indexing.
Build with Our Embeddings
Want to power your own models with carrier intelligence? Our pre-trained 128-dimensional embeddings capture the nuanced relationships between carrier characteristics that traditional features miss. Perfect for churn prediction, risk scoring, market segmentation, and more.
- 128-dimensional vectors
- 2.3M+ carriers covered
- Weekly updates
- Bulk API access