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NorthArc

The startup offers a route planning platform that utilizes commuter analysis to evaluate and compare employee travel times to various locations. This technology enables businesses to independently manage and customize their route planning, enhancing operational efficiency and flexibility.

Copenhagen, DenmarkFounded 2019450+ followers
Updated 3 months ago

Funding

$510K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Many companies lack an efficient way to analyze employee commute times when considering new office locations, leading to potentially negative impacts on employee satisfaction and retention. Without a comprehensive overview of employee travel patterns, businesses struggle to make informed decisions about relocation that minimize disruption and maintain workforce morale.

Solution

NorthArc provides a route planning and commuter analysis platform that helps businesses evaluate and compare employee travel times to various potential locations. The platform automates and optimizes route planning, allowing companies to independently manage and customize their analyses without relying on external consultants. By analyzing road networks and transportation methods, NorthArc delivers a comprehensive assessment of potential locations based on user-defined preferences. This enables businesses to make data-driven decisions that consider employee commute times, preferred transportation methods, and the impact of peak traffic hours.

Target Audience

NorthArc primarily targets businesses, commercial real estate brokers, and consultants involved in selecting new office locations, particularly those concerned with minimizing employee commute times and maximizing employee satisfaction.

Features

  • Analyzes employee commute times using various transportation methods, including car, public transport, bicycle, and e-bike.
  • Considers real-world conditions such as peak traffic and public transportation schedules.
  • Allows users to set custom preferences for commute time, distance, and number of transfers.
  • Generates interactive maps visualizing employee locations in relation to potential new office locations.
  • Provides detailed reports on average commute times, distances, and the impact of rush hour.
  • Offers up to three different sets of assumptions for each location to test various scenarios.
  • Utilizes proprietary algorithms to estimate employee travel patterns and transportation choices.
This profile is AI-generated and may contain inaccuracies.