Expecting them to protect your data is like expecting the landlord to care about your furniture," Hankey said.
>>> Barcelona Offers Six-Year Deal to Valencia Midfielder Javi Guerra
The platform enables subscribers to port their intellectual property across desktops, mobile systems, and virtual private servers using native Model Context Protocol connectors.
"We designed Penfield with users’ needs in mind, so when companies make their AI models worse by making them less natural, or try to push more expensive products, Penfield subscribers will barely notice," Hankey said.
To encourage adoption, the company currently offers standard tier services for $10 monthly supporting 5,000 memories and premium access for $20 monthly supporting 20,000 memories.
"Our customers can be AI platform agnostic, easily switching from one model to another, from one provider to another, and still take their AI agents and past use history with them when they make a change," Hankey said.
The startup functions within European Union data sovereignty laws and intends to develop enterprise subscriptions featuring offline functionality for heavily regulated corporate sectors.
"Really, any service that uses the Model Context Protocol standard, that is to say any service actually worth using," said Hankey.
Corporate risk experts warn that software features arriving by default through cloud providers, managed services, and data processors introduce hidden external liabilities into standard workflows.
A single automated system depends on a fragile network of cloud infrastructure, application programming interfaces, foundational models, and third-party subcontractors.
A vulnerability in one component poisons the entire chain.
To manage this exposure, boards are advised to treat AI ecosystems like critical suppliers by securing full visibility of data movement, establishing human oversight, and formulating alternative fallback plans for platform failures.
>>> Chesterfield Signs Jack Simpson, Extends Kyle McFadzean's Contract
Sudden model retirements and trade bans highlight structural vulnerabilities in centralized artificial intelligence systems for global businesses.
