What we believe 



Democratizing AI

Alectio believes in democratizing AI. And that doesn’t just mean protecting against bias. It means access to AI. It means making sure everyone benefits, not just the biggest tech companies with the biggest budgets. It means creating solutions that are sustainable, not solutions that throw tons of carbon into our environment. It means making sure no one is exploited and ensuring our technology is used ethically. It means being responsible.

At Alectio, we think about this constantly. Our goal is to dramatically reduce the amount of data you need you need for your machine learning projects so that AI is more accessible, less expensive, and more environmentally sustainable. We work with ethical labeling partners who care about their employees as much as they care about the quality of their work.

We believe that everyone should benefit from AI. And we’re doing our best to do our part.


AI can be sustainable

Machine learning models aren’t just data greedy––they also require an astronomincal amount of power. State-of-the-art models put out up to 600,000 pounds of carbon dioxide and require 300,000 times the compute resources they did less than a decade ago. And that number isn’t going to drop unless we make an effort as an industry.

Alectio’s core technology is based on reducing the number of labels you need for your models. That means you won’t just spend less time and money during training but you’ll also reduce your carbon footprint. And yes, we know that won’t safe the planet. But it’s certainly a step in the right direction.


Machine learning

We’re a company of machine learning experts making a product for machine learning experts. We believe our technology can help everyone from doctors using AI to conduct cutting edge medical research to engineers fine tuning their autonomous vehicle models. We believe in the power of machine learning.

We also believe that machine learning is poorly understood in the general public. That’s why we spend so much time writing, filming, and speaking about the subject. If you have questions, we’d love to answer them. In fact, check out our blog. Maybe we’ve answered them already.


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