An intelligent public transport service.
Description
Bridj used big data and crowdsourcing to predict how a city moves. It then deploed a dynamic transportation network of direct shuttles to match popular origin and destination pairings. As more users entered the system, Bridj used machine-learning algorithms to get even smarter, allowing for a living, breathing, and thinking transportation system. Bycreating data-driven pop-up networks for daily intra-city transportation, Bridj was reinventing public transit, creating better transit for everyone.
Legal Name
-
Former Legal Name(s)
-
Company Reputation
-
Entity Type
Private limited company
Ownership Status
-
Operational Status
Inactive
Founded Date
2014
Operational Duration
5 years
Shutdown Date
2019
Last Financing Round
Series A
Total Raised
USD 4M
Last Financing Date
1 Mar 2015
No. of Funding Round(s)
2
No. of Investor(s)
2
No. of Employees
1 - 10
Total Revenue
-
Post-money Valuation
-
Market Capitalization
-
Stage of Development
Validation
Transactional Model Type
B2C
Defensibility Moats
Procedural knowledge,
City
Brisbane
State/Province
Queensland
Country
Australia
Industry
Technology
Categories
Public Transportation, Transportation, Machine Learning, Ride Sharing, Big Data,