Meet the Team

Since the beginning, we founded CiferAI around one core principle: As AI becomes more embedded in society, how it's built matters as much as what it produces. Centralized control, opaque data usage, and unconsented reuse erode trust and slow real innovation. CiferAI was created to address this deliberately. No single technique solves this alone. Our work draws on privacy-preserving machine learning, federated learning, fully homomorphic encryption, and selective blockchain integration for tamper resistance and provenance. Trustworthy AI is an active research area, not a finished doctrine. Techniques will evolve, and we'll adapt as better solutions emerge.

What won't change is our foundation: AI systems must respect data and model owners, preserve authorship and provenance, and resist unilateral control by concentrated capital or centralized authority. AI should be collaborative, auditable, and transparent in how trust is established.

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

We're not here to follow shortcuts.
We're 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