Meet the Team

Since the beginning, we founded CiferAI around one core principle: As AI systems become more powerful and more embedded in society, the way they are built matters as much as what they produce. Centralized control, opaque data usage, and unconsented reuse of information erode trust, limit collaboration, and ultimately slow real innovation.

CiferAI was created to focus on this problem space deliberately. There is no single technique that solves this alone.
Our work draws on multiple approaches, including privacy preserving machine learning, federated learning, fully homomorphic encryption, and selective integration with blockchain technologies for tamper resistance, provenance, and automated trust through smart contracts.

Trustworthy AI is an active area of research, not a finished doctrine. The techniques used today are not final. As the field evolves, we expect new methods to emerge that improve upon existing approaches, and we will adapt when better solutions become available. What will not change is the foundation we build on: AI systems must respect data owners and model owners, preserve authorship and provenance, especially in IP protection and creative domains, and remain resistant to unilateral control by concentrated capital or centralized authority. We believe AI should be open to collaboration, auditable in its behavior, and transparent in how trust is established.

This path is not easy. Trustworthy AI is slower to build, harder to explain, and more demanding than extractive or centralized models. But we believe it is the only path that scales responsibly.

We are not here to follow existing shortcuts.
We are here to establish a foundation where AI can be collaborative without being exploitative, powerful without being opaque, and innovative without compromising rights.

This is the work CiferAI is committed to.

— The Founders of CiferAI