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ShipIn Systems
Optimizing Fleet Management through Visual Analytics deploying AI-powered cameras and real-time visual analytics
About ShipIn Systems
ShipIn.ai is a startup that operates in the maritime industry, offering advanced artificial intelligence (AI) and computer vision solutions to optimize fleet management. The company's primary product, FleetVision™, uses AI to detect safety or security hazards, operational anomalies, and machinery concerns in real-time. This technology not only enhances transparency, safety, and security but also improves the overall operations of a fleet.
The company's target clients are organizations operating in the maritime sector that manage large fleets of ships. These clients can range from shipping companies to oil and gas corporations. By utilizing ShipIn's technology, these organizations can increase their operational efficiency and profitability.
ShipIn's business model revolves around providing its AI-powered solution to clients on a subscription basis. The company generates revenue by charging its clients a recurring fee for using its FleetVision™ software. This model allows ShipIn to maintain a steady stream of income while also providing its clients with a valuable service that can significantly improve their operations.
One of the key selling points of ShipIn's solution is its ability to deliver a return on investment (ROI) within 60 days. This is a significant advantage for clients, as it means they can quickly see the benefits of using the software.
In summary, ShipIn.ai is a promising startup that uses AI and computer vision to improve fleet management in the maritime industry. Its innovative solution can enhance safety, increase operational efficiency, and deliver a quick ROI, making it an attractive option for organizations managing large fleets of ships.
Source: Dealroom company dataAt a glance
- Status
- Operational
- Founded
- 2019
- Headquarters
- Newton, United States
- Employees
- 88
- Open positions
- 10
- Dealroom signal
- 90.7/100
- Industry
- Transportation
- Sub-industry
- Logistics & Delivery
- Sector
- Transportation, Fleet Management, Core AI, Hard Tech, AI Applications
- Technology
- Artificial Intelligence, Machine Learning, Computer Vision
- 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 |
|---|---|---|---|---|---|
| SERIES BOther financing | Aug 2026 | $52M | $208M | At.inc Ventures · Zeev Ventures · Highsage ventures · Hyperplane VC | ↗ |
| SERIES AOther financing | Oct 2022 | $24M | $96M | Zeev Ventures · Munich Re Ventures · At.inc Ventures · Hyperplane VC | ↗ |
Financials
Revenue, earnings and other financial measures where available. Years marked “E” are estimates.
Growth signals
Latest recorded traffic for ShipIn Systems is 4.9K monthly website visits, down 30% over the last three months. ShipIn Systems's team grew 23.9% over the past year.
Open positions
Similar companies
Company identity and context are open; selected comparison metrics preview what is available on the platform.
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.
Seed1 investor entered at this stage
Munich Re Ventures
Series A7 investors entered at this stage
Zeev Ventures
At.inc Ventures
Hyperplane VC
Proofpoint Capital- HVHighsage ventures
Framework Venture Partners
Tokio Marine Future Fund
Other known investors5 additional known investors
Also Capital
Michael Annunziata, CFA- NENadav Eylath.
Two Lanterns Venture Partners
TWO39 Ventures
Source: Dealroom Talent Intelligence.
Global footprint
team presence
Market sentiment
An AI-synthesised read of the highest-engagement posts about ShipIn Systems 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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