TechCrunch News 03月12日
Ditto lands $82M to synchronize data from the edge to the cloud
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Ditto公司致力于为边缘设备提供“弹性”连接,在B轮融资中筹集了8200万美元,投后估值达到4.62亿美元。Ditto的核心技术是嵌入式软件开发工具包(SDK),允许设备制造商利用蓝牙、Wi-Fi或局域网功能创建“即时网状网络”,使应用程序能够独立于集中式云进行发现和通信。Ditto充当移动数据库,应用程序可以在本地读取和写入数据,从而解决了航空、零售等行业在连接不稳定环境下的数据同步和协作问题。Ditto旨在桥接边缘设备和云,实现数据的点对点同步,同时不依赖云作为运营瓶颈,为客户提供更具弹性的软件基础设施。

📶Ditto的核心产品是一个嵌入式SDK,设备制造商可以将其集成到应用程序中,利用蓝牙、Wi-Fi或局域网功能创建“即时网状网络”,实现应用程序之间的独立通信,无需依赖中央云服务器。

✈️Ditto的技术解决了航空业的痛点,例如,Delta航空为乘务员开发了一款集成了Ditto SDK的移动应用,使他们能够在飞行过程中保持稳定沟通,提升乘客体验,无需特殊硬件支持。

☁️Ditto并非要完全取代云计算,而是让云计算专注于其优势领域,如大规模数据集成和长期存储,同时通过边缘计算减轻云端的压力,实现更高效的数据处理和同步。

Ditto, a company that’s setting out to bring “resilient” connectivity to edge devices, has raised $82 million in a Series B round of funding at a post-money valuation of $462 million — more than double its Series A valuation from 2023.

“Edge,” in the context of Ditto’s industry, refers to a distributed computing model that brings data processing and storage closer to where it’s generated (e.g. IoT sensors, 5G routers or smartphones) rather than having to rely on centralized data centers and cloud platforms. It’s all about reducing latency and optimizing bandwidth requirements by processing data either on a device itself, or on dedicated “edge servers” located near to where the data is generated.

In the age of AI and computationally intensive machine learning models, this can be particularly vital — particularly where real-time decisions are paramount, or any situation where connectivity is patchy. Speed is the name of the game.

Ditto bypasses physical edge servers, which Ditto CEO and co-founder Adam Fish says is a costly, labor-intensive endeavor that customers can do without.

“Imagine your local fast food restaurant chain — if they’ve added in additional servers and built out Wi-Fi networks in all their locations, when something goes wrong no one on-site is equipped to fix it,” Fish told TechCrunch over email. “This restaurant is required to have costly technicians available. As one customer described the situation as ‘whack-a-mole’.”

Instead, Ditto uses the hardware that companies’ deskless workforce already use, such as the smartphones in their pockets.

“We replace hardware with software — a no-brainer choice,” Fish added.

Ditto team photoImage Credits:Ditto

Founded in 2018, San Francisco-based Ditto raised $45 million in Series A funding two years ago, in addition to a $9 million seed round in 2021. The company has already amassed an impressive roster of customers, including the U.S. Air Force, which inked a $950 million contract with Ditto back in 2022. In the past year, Ditto says its customer count has doubled to more than 30, while its annual recurring revenue (ARR) has grown by 250%, though it declined to divulge specific numbers.

Ditto’s platform constitutes the core “edge sync” component, which is an embeddable software development kit (SDK) that device-makers integrate with their application. This allows companies to tap into devices’ built-in Bluetooth, Wi-Fi, or local LAN capabilities to create “ad-hoc mesh networks,” whereby apps can discover and communicate with each other independently of any centralized cloud. Ditto serves as a mobile database that apps read and write to locally.

And it’s this approach that has led Ditto to attract several major airlines as customers, including Delta, Japan Airlines, and Lufthansa.

“Airlines require constant crew collaboration, especially while in-air, but cabin connectivity is often unstable,” Ditto co-founder and CEO Adam Fish, told TechCrunch over email. “This means that the apps [that] cabin crew use to stay in touch during takeoff, in-flight, and landing can often be disrupted — leading to poor communication among the team and, at times, a poor customer experience.”

Delta, for example, has built a mobile app for its flight attendants that integrates Ditto’s SDK, and which works on standard company-issued iPhones — no special hardware required.

“Flight attendants can now chat with each other from anywhere in the cabin, making it easy to collaborate with team members consistently during the flight and provide the best customer experience,” Fish added.

There’s no ignoring the power of modern cloud computing though, and certain functions require the kind of compute only a powerhouse remote server can provide. For instance, autonomous vehicles pack a bunch of sensors and cameras to capture real-time data on their surroundings — and they need to be able to process this data locally in real-time to safely maneuver around vehicles, rather than relying on constant cloud connectivity.

At the same time, the company will also need to pool vast swathes of data to perform more advanced machine learning tasks, and improve its AI models. Such tasks would typically require the company to pass data to the cloud.

The same principle applies to myriad other industry verticals, from point-of-sale (POS) systems in retail to IoT sensors in factories.

Thus, Ditto bridges edge devices and the cloud, allowing developers to store and sync data “peer-to-peer” (P2P) across all their systems while remaining entirely synchronized with data stored elsewhere. As such, Ditto offers distinct pricing for customers that only want to sync between the cloud and their edge devices, without the mesh networking element.

Ultimately, it’s all about creating resilient software infrastructure, where bottlenecks or bandwidth issues don’t impede a company’s ability to operate.

“The goal is that your architecture does not rely on the cloud, but it doesn’t mean the cloud and centralized systems don’t have a place,” Fish said. “Instead with Ditto, they can do what they are best at — large scale data integration and long-term storage, but not act as a bottleneck for operational data.”

Ditto’s product tiersImage Credits:Ditto

With a fresh $82 million in the bank, Fish says that the company plans to grow its team and scale its core product, including forging partnerships with cloud database vendors. This will build on its existing partnership with database giant MongoDB — the duo recently launched the MongoDB Connector, which is a native integration to synchronize data between edge devices and MongoDB databases

Moreover, as AI encroaches deeper into the fabric of society, edge computing could come into its own given that many AI-driven applications demand real-time data processing and low latency — not to mention the data privacy aspect, whereby sensitive data can be processed locally rather than sent to the cloud.

“There are massive tailwinds to edge computing, especially with the rise of AI,” Fish said. “Running models at the edge not only adds resiliency, but improves privacy and lowers costs too. Our vision with Ditto is it becomes the de facto company and platform you turn to when thinking about ‘edge’.”

Ditto’s Series B round was led by Top Tier Capital Partners and Acrew Capital, with participation from Advance Venture Partners, Amity Ventures, Friends and Family Capital, Fundrise, Innovative Technology Fund (USIT), Internet Initiative Japan (IIJ), and True Ventures.

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Ditto 边缘计算 SDK 数据同步 网状网络
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