Z
Zoba
A platform for shared mobility companies to predict demand for their services using environmental data
About Zoba
Zoba provides a decision automation platform for shared mobility and logistics companies, aiming to enhance the efficiency and profitability of their operations. Founded in 2016 by brothers Joseph and Daniel Brennan, the Boston-based company was born from their experiences and academic pursuits at Harvard University. Joseph Brennan brought a strong background in data-driven research from his work at Harvard and Yale, while Daniel Brennan contributed insights on urban dynamics gained during his five years as a Captain in the U.S. Marine Corps. Their combined expertise laid the groundwork for a company focused on solving complex logistical challenges through spatial analytics.
The company's core offering is an AI-powered, API-first platform that helps operators optimize fleet management in real-time. It tackles critical operational decisions by forecasting demand, supply, and even competitor activity. The software provides automated recommendations for vehicle deployment, fleet rebalancing, driver tasking, routing, and dynamic pricing. By integrating with a client's existing technology stack, Zoba's machine learning algorithms analyze the company's internal data alongside external sources like weather conditions to generate actionable insights. This allows mobility operators—serving markets from e-scooters and e-bikes to car-sharing—to increase vehicle utilization, ensure regulatory compliance, and ultimately boost revenue. Clients have reported significant performance improvements, with some seeing up to a 74% increase in rides per scooter.
Zoba operates on a software-as-a-service (SaaS) business model, charging clients based on metered access to its platform. This structure provides a scalable solution for a wide range of customers, from small local operators to large international players in over 200 cities. Before full implementation, Zoba runs simulations using a prospective client's historical data to demonstrate the potential performance gains, ensuring a valuable partnership. In February 2024, Zoba was acquired by Martı, a leading Turkish mobility app, a move intended to integrate Zoba's sophisticated AI to further enhance Martı's two-wheeled electric vehicle and ride-hailing operations.
Source: Dealroom company dataAt a glance
- Status
- Acquired
- Founded
- 2016
- Headquarters
- Boston, United States
- Employees
- 31
- Open positions
- None listed
- Dealroom signal
- 72.5/100
- Industry
- Transportation, Enterprise Software
- Sector
- Transportation, Mobility, Delivery, Core AI, Platform, AI Applications
- Technology
- Artificial Intelligence
- Business model
- SaaS
- Client focus
- b2b
Knowledge graph
More headlines
Funding history
Company financing events and reported valuations.
| Deal type | Date | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| ACQUISITION✓Exit | Feb 2024 | $0 | — | Marti | ↗ |
| SERIES A✓Equity / VC | Oct 2021 | $12M | $48M | NTT Venture Capital | — |
Financials
Revenue, earnings and other financial measures where available. Years marked “E” are estimates.
Growth signals
Latest recorded traffic for Zoba is 90 monthly website visits, down 59.1% over the last three months. Zoba's team grew 3.3% over the past year.
Similar companies
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Investments and acquisitions
Recent portfolio relationships for companies that also act as investors or acquirers.
Investors
From Dealroom's funding and investor records, grouped by the round each investor first entered.
Seed4 investors entered at this stage
The Graduate Syndicate
Mark CubanFounder Collective
CRV
Series A1 investor entered at this stage
NTT Venture Capital
Other known investors2 additional known investors
Marti
MassChallenge
Source: Dealroom Talent Intelligence.
Global footprint
Market sentiment
An AI-synthesised read of the highest-engagement posts about Zoba on X, ranked by likes and reposts, corporate channels excluded.
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Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
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