7Bridges

Optimising logistics operations for small and large companies through smarter data management and ML driven automation.

Founded 2016
1-15 employees
  • Transportation & Logistics
  • Headquarters address
    The Shard, 32 London Bridge Street, London, SE1 9SG

    The logistics industry has seen a significant improvement in infrastructure and technology in recent years and ever more services are being brought online, raising the hopes of a step change in the way businesses and consumers move goods around the world. However, it significantly lags behind all other major industries in one key area: continually optimising the use of assets and operations. As a result, logistics costs are needlessly high and the customer experience poor. The vast majority of businesses have wasteful and expensive logistics operations. 7Bridges’ mission is to optimise logistics for everyone, making more efficient use of resources and improving the service that our customers receive. This can only be achieved through the combination of machine learning or artificial intelligence and far reaching automation of the industry.

    The company is at an exciting stage with clients coming through the door. You'll be working in London with a team of 3 engineers and our CTO in San Francisco to help us cross the line and take the product forward ahead of our first funding round.

    We’re tackling a difficult problem in an untapped market. If transforming this neglected, untouched and wasteful industry sounds interesting and you thrive working in a close knit, early stage company with ambitious goals come join us!

    Tech stack

    AWS, Python, Django, Postgres, Sentry, Gitlab CI, Git, React, Apollo/GraphQL, Selenium, Periscope Data
    7Bridges - Earn pre-stage equity that has discernible value (6 figure bootstrapped profit in 15 months)
    7Bridges - Work in a professional environment 24 floors up at our offices in The Shard in Central London
    7Bridges - Work with technical co-founders that are builders with a proven history implementing data driven technology at scale