About DataLane

DataLane develops proprietary AI algorithms to extract mobile numbers of restaurant decision-makers from diverse data sources, enabling sales teams to connect directly without gatekeepers. This technology enhances outbound sales efficiency by providing accurate contact data, resulting in increased close rates and higher revenue generation for restaurant tech companies.

```xml <problem> Sales teams targeting restaurants often struggle to identify and directly contact decision-makers due to gatekeepers and inaccurate contact information. Manually searching for and verifying contact details is time-consuming, reducing the time sales representatives spend actively selling. Incomplete or outdated contact data leads to low connect rates and inefficient outbound sales efforts. </problem> <solution> DataLane provides a platform that leverages proprietary AI algorithms to identify and extract mobile phone numbers of restaurant decision-makers from diverse data sources. The AI model is trained on sources such as liquor licenses, Facebook pages, and news articles to improve contact data accuracy. By providing direct access to decision-makers, DataLane helps sales teams bypass gatekeepers and increase connect rates. The platform also includes TAM mapping capabilities, enabling sales teams to identify a larger number of ICP (Ideal Customer Profile) accounts and avoid duplicated efforts. </solution> <features> - AI-powered mobile number extraction from diverse sources, including liquor licenses and social media. - Identification of decision-makers within restaurant franchise holding groups. - TAM (Total Addressable Market) mapping to identify and prioritize high-potential accounts. - AI-driven de-duplication to ensure only net-new accounts are added to the CRM. - Mobile number coverage of 70% and accuracy of 80%. </features> <target_audience> The primary target audience is outbound sales teams in restaurant technology companies, particularly those selling to independent restaurants and franchise groups. </target_audience> ```

What does DataLane do?

Where is DataLane located?

DataLane is based in East New York, United States.

When was DataLane founded?

DataLane was founded in 2023.

Location

East New York, United States

Founded

2023

Employees

8 employees

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DataLane

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Executive Summary

datalane.com 100+

Founded 2023 – East New York, United States

Funding

No funding information available.

Team (5+)

No team information available.

Company Description

Problem

Sales teams targeting restaurants often struggle to identify and directly contact decision-makers due to gatekeepers and inaccurate contact information. Manually searching for and verifying contact details is time-consuming, reducing the time sales representatives spend actively selling. Incomplete or outdated contact data leads to low connect rates and inefficient outbound sales efforts.

Solution

DataLane provides a platform that leverages proprietary AI algorithms to identify and extract mobile phone numbers of restaurant decision-makers from diverse data sources. The AI model is trained on sources such as liquor licenses, Facebook pages, and news articles to improve contact data accuracy. By providing direct access to decision-makers, DataLane helps sales teams bypass gatekeepers and increase connect rates. The platform also includes TAM mapping capabilities, enabling sales teams to identify a larger number of ICP (Ideal Customer Profile) accounts and avoid duplicated efforts.

Features

AI-powered mobile number extraction from diverse sources, including liquor licenses and social media.

Identification of decision-makers within restaurant franchise holding groups.

TAM (Total Addressable Market) mapping to identify and prioritize high-potential accounts.

AI-driven de-duplication to ensure only net-new accounts are added to the CRM.

Mobile number coverage of 70% and accuracy of 80%.

Target Audience

The primary target audience is outbound sales teams in restaurant technology companies, particularly those selling to independent restaurants and franchise groups.