EDJX has set out to build the world's largest decentralized edge computing platform for next generation applications.
As IoT inventions integrate into our environments, developers will rely on edge computing to deliver ultra-low latency, high performance applications at planet scale, along with robust security and privacy controls.
At EDJX, we believe that centralized platforms are no longer equipped for the same success for two major reasons:
- Humanity is moving from the information age (spawned by the World Wide Web) and is embracing the age of experience, which will require edge computing.
- Business models often depend on information to generate revenue, which may not be shared in a decentralized P2P (peer to peer) platform economy.
- Developers are disenchanted with many major platform companies for a number of reasons, including:
a) Mandatory government surveillance cooperation;
b) Reckless use of information;
c) Lack of ownership for control failures.
- There is clear evidence that leadership philosophy on business models may not adapt. For example, Facebook is trying to create a "decentralized" digital currency, yet their only service offering is their wholly-owned "Calibra" wallet— an application similar to a bank account where centralized transaction data will reside (and generate revenue).
EDJX's decentralized edge platform provides a competitive advantage:
- Truly edge for faster performance. Because we can leverage server positioning in locations that large public companies can't use for giant data farms, our platform is ultra-low latency and delivers higher performance for next-gen applications.
- Community hosted. Anyone can host an EDJpod server and monetize the cloud.
- More secure. Distributed ledger creates an immutable record of your code execution, proving that your code is actually yours.
- Automation of contracts and payments using smart contract logic.
- Faster code execution. There's no need to spend time orchestrating containers, so development is expedited.
- Lower cost due to the ability to execute functions on different hardware architectures, such as ARM.