The startup develops a decentralized physical infrastructure network that utilizes artificial intelligence for real-time data collection and processing at the edge. This technology enables clients to efficiently analyze and monetize data while ensuring privacy, addressing the challenges of traditional centralized data systems.
Funding
$5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional data collection methods often rely on centralized systems, which can be inefficient, costly, and raise privacy concerns. These systems struggle to process the increasing volume of data generated by IoT devices and lack the real-time insights needed for timely decision-making.
Solution
375ai is developing a decentralized edge data intelligence network that leverages AI to collect, process, and analyze real-world data in real-time. The network utilizes a combination of edge AI nodes (375edge, 375street, and 375vault) and a mobile application (375go) to gather multimodal data, including vehicular, environmental, and network connectivity information. By processing data at the edge, 375ai reduces latency, enhances privacy through anonymization, and provides actionable insights for various industries. The platform incentivizes participation through token rewards, creating a robust and scalable data intelligence ecosystem.
Target Audience
The primary target audience includes enterprises, researchers, advertisers, and government entities seeking real-time, high-fidelity data for applications such as traffic management, environmental monitoring, and business intelligence.
Features
- 375edge: An enterprise-grade edge AI node equipped with high-resolution cameras, environmental sensors, and an NVIDIA Jetson GPU for real-time data analysis.
- 375go: A mobile application that allows users to earn rewards by collecting wireless network and connectivity data.
- 375street and 375vault: Compact edge AI nodes designed for urban and suburban environments, and distributed storage, respectively.
- Decentralized data collection: Utilizes a network of distributed devices and users to gather data from various sources.
- Edge AI processing: Processes data locally, reducing latency and bandwidth requirements.
- Token incentives: Rewards network contributors with 375 tokens for data collection and validation.
- Data anonymization: Employs a privacy-first approach by de-identifying and anonymizing data at the edge.
- Integration with AYDO: Leverages AYDO's network of IoT devices to enhance data coverage and sensor diversity.