Vladislava Karim

Vladislava Karim

Pelloran | Building verifiable AI

About

I’m the COO at Pelloran, where we’re building infrastructure for trustworthy and verifiable intelligence. Our work focuses on AI memory, reasoning, provenance, and deterministic inference. Current initiatives include KELVIN, KELVIN ZERO, and tritify — Pelloran’s open-source project for deterministic and reproducible AI inference. With tritify, we’re exploring how one AI model can run across multiple machines while keeping execution reproducible and independently verifiable. Interested in open-source AI, inference infrastructure, reproducibility, and systems that can prove what they know.

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tritify - Deterministic AI inference across multiple machines

tritify is an open-source deterministic AI inference runtime from Pelloran. It lets one AI model run across multiple machines while keeping execution reproducible and bit-verifiable. Same model. Same input. Same execution schedule. Same bits. Built for reproducibility, auditability, and distributed inference — not as a raw throughput claim. Open source under Apache 2.0.
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