Hirundo, specialists in “machine unlearning,” announced it has raised $8M in a recent seed funding round, enabling the company to continue developing solutions to “make AI forget” poisoned, malicious, and confidential data from trained AI models, biases, as well as hallucinations that pump out misinformation.
The funding round was led by Maverick Ventures Israel, with participation from SuperSeed, Alpha Intelligence Capital, Tachles VC, AI.FUND, and Plug and Play Tech Center.
According to the company, Hirundo achieves their goal without needing to retrain models from scratch and without degrading model performance, thereby de-risking AI adoption.
As generative AI evolves from experimentation to enterprise infrastructure, critical flaws start to appear, and once a model is trained, fine-tuned or deployed, its mistakes are nearly impossible to fix, the company said.
Hirundo addresses the flaws in AI from an entirely different starting position—after a model is already trained. By retroactively removing undesired behaviors and inaccuracies from AI models without impeding the model’s capabilities or needing to retrain it, Hirundo improves AI performance and reliability, empowering businesses to deploy AI with confidence.
As per the company, Hirundo looks at jailbreaks from a behavioral point of view—using its “machine unlearning” approach, the company locates the directions in the model that are most prone to adversarial manipulations and removes them. This aims to future-proof AI models to attacks.
"Broader adoption of AI is limited by hallucinations and undesired behaviors which make models too risky to deploy in enterprise-level applications. With Hirundo, models can be remediated instantly at their core, working towards fairer and more accurate outputs,” said Ben Luria CEO and co-founder of Hirundo. “Hirundo’s solution operates like a form of AI model “neurosurgery,” pinpointing where in a model’s billions of parameters hallucinations originate or toxic knowledge encoded and precisely removing it. We ensure data is reliably deleted, model accuracy is assured, and the process is scalable and repeatable. We welcome this latest funding which will enable us to enhance our technology and with it, support the broader adoption of AI.”
Hirundo’s platform supports both generative models (such as large language models) and non-generative systems used in areas such as computer vision, radar, LiDAR, NLP, and more.
For more information about this news, visit www.hirundo.io.