The OLEXIAN Blog:
This blog is about trust that survives scrutiny.
We write about verification, validation, and reproducibility the way auditors, regulators, and engineers are forced to think about them—after the demo, after the good intentions, and long after the original team has moved on. The focus is not on tools, trends, or promises, but on what can be proven, what cannot, and how to draw that line clearly.
You’ll see recurring themes:
deterministic artifact creation, offline verification, audit failure modes, and the difference between “it worked” and “it can be independently verified.” Many examples come from high-consequence domains—medical software, robotics, aerospace, and research systems—where ambiguity is not a philosophical problem but a liability.
This is not a blog about AI optimism, compliance theater, or glossy dashboards. It’s about evidence as a first-class output, systems that fail closed, and verification results that still make sense six months later, offline, to someone who wasn’t there when the system ran.
If you care about reproducibility, regulatory reality, or building systems that deserve trust rather than demand it, you’re in the right place.
Common Audit Failure Modes: Why Good Intentions Aren't Enough
When audits fail, it’s rarely because teams didn’t care—it’s because the system was never designed to produce durable evidence. This article breaks down the structural reasons audit trails collapse months later, from log rot and timestamp drift to missing artifacts and silent defaults. Understanding these failure modes is the first step toward building software that can actually be audited.
Building Trust Through Verifiable Evidence: How OEP Supports TIER2's Reproducibility Work
OEP produces verifiable evidence about what ran, with what inputs, and what outputs were produced—without certifying compliance, validating scientific conclusions, or guaranteeing outcomes. This post explains why reproducibility failures persist at the mechanical layer and how contract-based, offline verification with cryptographic binding makes research bundles independently checkable long after publication. OEP is independent and not affiliated with TIER2, the EU, or the Embassy of Good Science.
Verification Is Not Validation: Drawing the Line Clearly
In regulated software, tools that “do everything” blur verification and validation—and create false authority and risk. This post explains why OEP stays strictly in the verification lane: it checks bundle integrity, hashes, and contract conformance, but refuses to judge scientific correctness, safety, or compliance. Narrow scope is a safety feature.
How to Read a Verification Result
Verification outputs are easy to misread—and that creates false confidence. This guide explains how to interpret a verification result (evidence, report, index), what a PASS actually asserts (integrity, completeness, contract conformance, deterministic verification), and what it never implies (correctness, safety, compliance).
Offline Verification as a Trust Primitive
Offline verification makes audit evidence durable: no network calls, no external state, no clock dependence, and deterministic results from a self-contained bundle. This post explains why service-dependent verification is delegated trust that fails over time, and why “bundle + tool, run it yourself” is the only model that survives regulators, outages, and years-long audits.
Deterministic Artifact Creation: The Foundation of Medical Software Verification
Regulated software needs more than “repeatable results”—it needs byte-identical, verifiable artifacts that hold up months later in an audit. This post explains deterministic artifact creation, evidence-bundle contracts, canonicalization, and why OEP verifies integrity and reproducibility without claiming scientific correctness, safety, or compliance.