The ContainAI Foundation will be a non-profit organization dedicated to supporting ethical AI infrastructure development. Following the Signal model, we will maintain open source projects, fund security audits, advocate for ethical AI standards, and provide grants to aligned developers.
AI should empower users, not exploit them.
To create and maintain ethical AI infrastructure that puts users in control. We believe artificial intelligence should be transparent, consent-bound, and free from surveillance and manipulation — whether the use case is privacy-sensitive or not.
No government, regulatory body, or industry group currently enforces meaningful ethical standards for AI products. Companies decide for themselves what data to collect, how long to retain it, whether to use it to train models, and how clearly any of that is disclosed. The only constraint is what they choose to bury in terms-of-service documents that almost no one reads.
This isn't a gap that will close on its own. The financial incentives run in exactly the wrong direction — the business models that generate the most revenue are built on data collection, behavioral profiling, and engagement optimization. Without external standards, those models will dominate.
The ContainAI Foundation's long-term advocacy goal is concrete: establish a baseline certification standard for AI products. Not a comprehensive regulatory framework — just a floor:
A nonprofit foundation offering certification against these standards would give companies a way to demonstrate their commitment publicly — a badge they can display that tells users, clearly and simply, that this product meets a documented ethical standard. This model is well established: ENERGY STAR, Fair Trade, and COPPA compliance seals all work this way. Consumers recognise the badge; its absence is equally informative.
Companies that meet the standard can display the badge. Companies that can't — or won't — leave that absence visible to every user who looks. That transparency alone would shift the landscape, creating market pressure for ethical behavior without waiting for legislation that may be decades away. This is what "ethical AI infrastructure" means in practice: beginning with the most vulnerable, we establish specific, auditable standards that protect people.
Support and maintain ethical AI tools like Zynkbot and the ContainAI SDK. Ensure long-term sustainability through community governance and transparent development.
Regular independent security audits of all Foundation-maintained projects. Transparency reports and vulnerability disclosure programs.
Promote standards for consent-based, ethical AI development. Educate developers, users, and policymakers about responsible AI alternatives.
Fund developers and organizations building ethical AI tools. Support research into responsible AI architectures and sustainable open source.
We're following proven examples of sustainable non-profit tech organizations that prioritize user privacy and ethical development.
Non-profit foundation maintaining the Signal private messenger. Funded by donations and grants. No ads, no data harvesting. Demonstrates that ethical tech can be sustainable without exploiting users.
Non-profit supporting open web standards and privacy tools. Maintains Firefox browser and funds privacy research. Revenue from commercial partnerships supports the mission.
Non-profit maintaining Zynkbot and the ContainAI SDK. Funded by Zynkbot premium features, SDK commercial licensing, donations, and grants. Revenue reinvested in development, security audits, and community grants.
Zynkbot will remain free. The project sustains itself through optional services and a developer ecosystem — not through data collection or advertising.
Zynkbot's memory database lives on your device. An optional encrypted cloud backup service will be available for a small monthly fee — comparable to what you'd pay for cloud storage. Useful when you're away from your local network and need a device to be current, or as protection against device loss. Nothing is required; this is a convenience service for people who want it.
Snap-ins are purpose-built extensions for specific industries and workflows. ContainAI will develop and offer snap-ins as a primary revenue stream — tools for lawyers, medical professionals, tradespeople, educators, and others. Third-party developers are explicitly welcome to build and sell their own. The base app remains free; the snap-in marketplace is how the ecosystem grows and pays for itself. If Zynkbot gains widespread adoption, founding a company to develop snap-ins full-time is the natural next step.
The ContainAI SDK is free for personal, research, and open-source use under AGPL. Commercial products built on it require a commercial license. Revenue from SDK licensing funds Foundation operations — security audits, ongoing development, and community grants for aligned developers.
As with Signal and Mozilla, community donations and mission-aligned grants provide additional stability. These fund the non-profit work: advocacy, research, and support for developers building ethical AI tools.
Production-ready desktop release. Open source launch on GitHub. Community building and initial user adoption. Mobile development begins.
ContainAI SDK v1.0 released. Commercial licensing established. Revenue from SDK licenses and Zynkbot premium features begins funding Foundation establishment.
ContainAI Foundation legally established as 501(c)(3) non-profit. Governance structure finalized. First security audits commissioned. Grant program launched.
Expand grant programs. Support third-party ethical AI projects. Advocate for ethical AI standards. Build developer community around SDK. Demonstrate viability of non-surveillance AI business model.
The Foundation isn't established yet, but you can help build the movement today. Use Zynkbot. Contribute code. Spread the word. Support ethical AI.