Perceptron
Builds a decentralized AI data network intended to support data access and coordination for artificial intelligence systems.
Overview
Perceptron is developing a decentralized AI data network, positioning itself in the infrastructure layer for artificial intelligence. The company’s work is aimed at supporting how AI systems access, organize, or coordinate data across distributed environments. The company has raised $7 million across one strategic round, with its July 2026 financing announced to support development of the decentralized data network. Its differentiation is tied to a decentralized approach to AI data infrastructure rather than a centralized platform model.
Funding History
Perceptron raises $6.5M to build decentralised AI data network
Frequently Asked Questions
- How much has Perceptron raised in total?
- Perceptron has raised a total of $7M across 1 funding round.
- What does Perceptron do?
- Perceptron is developing a decentralized AI data network, positioning itself in the infrastructure layer for artificial intelligence. The company’s work is aimed at supporting how AI systems access, organize, or coordinate data across distributed environments. The company has raised $7 million across one strategic round, with its July 2026 financing announced to support development of the decentralized data network. Its differentiation is tied to a decentralized approach to AI data infrastructure rather than a centralized platform model.
- Where is Perceptron headquartered?
- Perceptron is headquartered in San Francisco, CA.
Related Insights
Databricks and Hosted.ai are two of the most closely watched companies in AI. This comparison breaks down their funding, valuations, investors, and strategic positioning.
An in-depth analysis of Nokia's AI investment portfolio, strategy, co-investors, and sector focus across 1 tracked deals.
Databricks and Standard Template Labs are two of the most closely watched companies in AI. This comparison breaks down their funding, valuations, investors, and strategic positioning.