AI-powered market intelligence for teams selling to restaurant owners
Identify, reach, and close restaurant owners
We were selling to ghosts. Now we cut the team from two to one and grew revenue 30%. Now we get 80%+ connect rates instead of hoping for the best.
Our Approach
The local economy is a messy, unstructured data problem. Scraping the mess isn't enough.
Data Source
Extract raw data from 100+ public, offline, and proprietary sources - not just LinkedIn. 2B+ datapoints processed daily.
Algorithms
Entity resolution driven by the latest probabilistic models and LLMs to research like humans do - mapping the chaotic mess into clear entities and relationships
Team
Built and maintained by a founding team made of Al leaders from Meta, Uber, and Microsoft.
How our customers use Datalane
Improve mobile # coverage for reps
Dedupe and clean your CRM
Map complex ownership structures
Enrich records with data that improves conversion
Identify and size new markets
Send direct mail campaigns to owners
Interested in testing our data? Let’s start.
We give your best rep a list of 150-300 numbers to dial.
Evaluate improvement in connect rates, decision makers contacted, and rep hours saved
“How many salons are there in Tucson Arizona?”
Evaluate # of net new accounts surfaced.
“How many accounts in your CRM are dupes?”
See whether your CRM is up to date.