Let's talk about "full organizational autonomy". Have you ever stopped to think about what organizations might look like once people are no longer required to manage or operate them? The organizational constraints imposed by the human desire to create offices have been the prevalent mindset of most businesses for over a century. With the desire to reach full autonomy, organizations are rethinking office spaces and focusing their time on automation, software, and robots.
Most companies struggle to reach full autonomy. We help companies develop artificial intelligence technologies so they can be more autonomous.
What we do
We guide $1M+ ARR companies to achieve full autonomy. We accomplish this by developing machine learning, computer vision, and natural language processing technologies so they can get to the next level of automation.
We define organizational automation in six levels: no automation, worker assistance, partial automation, conditional automation, high automation, and full automation.
What we believe
We predict that modern organizations will be fully autonomous by 2050. We believe that autonomous organizations, powered by artificial intelligence technologies, will increase revenue, reduce costs, and save time.
How we work
At Produvia, we deliver massive value in three steps.
Step 1. We discuss your project.
We schedule a video call to discover what you want.
Step 2. We commit to develop your project.
We sign on the line, send you a contract and begin work.
Step 3. We launch your project.
We research, develop, and deploy production-ready machine learning models so you can crush your competition.
Here is why you should choose us
We are AI experts
Produvia talent pool consists of 1,000+ freelancers with diverse experience in artificial intelligence, machine learning, deep learning, computer vision, and natural language processing technologies.
What people say about AI technologies
Artificial intelligence would be the ultimate version of Google. The ultimate search engine that would understand everything on the web. It would understand exactly what you wanted, and it would give you the right thing. We're nowhere near doing that now. However, we can get incrementally closer to that, and that is basically what we work on.
Just as electricity transformed almost everything 100 years ago, today I actually have a hard time thinking of an industry that I don’t think AI will transform in the next several years.
Birds flap their wings to fly, but to make humans fly, we had to invent a different type of flying—one that did not occur in nature. And so, similarly, through AI, we’re going to invent many new types of thinking that don't exist biologically and that are not like human thinking. Therefore, this intelligence does not replace human thinking, but augments it.
Our latest posts
Developing and maintaining machine learning (ML) systems is costly. ML practitioners (Machine Learning Researchers, Engineers, Developers, and Data Scientists) incur multiple costs as they shift from prototype to production. Understanding real costs (true costs) of ML systems allows companies to better develop prototypes and deploy models into production.
Ready to start?
Schedule a discovery call with Produvia.