Hirundo - 2026 Pricing, Features, Reviews & Alternatives

Hirundo is a machine unlearning platform that surgically removes unwanted knowledge, behaviors, and data directly from large language model parameters, without requiring full retraining. Deployable via cloud, VPC, or on-premises, it targets AI teams and enterprises managing compliance, safety, and model quality at scale. Core capabilities include removal of PII, jailbreak vulnerabilities, hallucinations, toxic outputs, and bias, with model performance preserved throughout the process.

The platform operates through a parameter-level unlearning engine that modifies only the relevant weights tied to unwanted content, leaving the rest of the model intact. This approach significantly reduces the compute cost and time compared to retraining from scratch. Hirundo supports integration into existing MLOps pipelines and provides audit-ready reporting to support regulatory and compliance workflows. Configuration options accommodate varying model sizes and unlearning scopes, from targeted data removal to broad behavioral correction.

Industries handling sensitive data, including healthcare, finance, legal, and government, benefit from the platform's ability to enforce data subject deletion rights and reduce model liability. Teams gain granular control over what knowledge persists in deployed models, supporting ongoing governance obligations without disrupting production systems.