Building America's next tech workforce.

We're a 501(c)3 aimed at the people behind building software and the world we are building for them.

recognized by

The Problem

There's a big divide with who can build technology and who can't.

This divide is clear in the US, with lower income areas not being able to build and offer the same services wealthier ones have.

8.5 Million

Places lacking Broadband

Source: BitLaw

<30.5%

Population without 100mbps+

Source: USA Facts.

The Solution

We built way to deploy technology to everyone, no tech degree needed.

Solutions for cities, schools, organizations, and communities big and small, from West Hollywood to Wisconsin.

Experience

A system built for the average Joe... Tom, Mary, Bill, and everyone else.

Our methodology is validated by more than 100 developers and tech leaders from the biggest companies.

Just to name a few...

Goal to 1000 Communities Covered:

251 /1000

Donate to Ozone Gives

$10 can cover a month's worth of database costs for a community.

Solutions for cities, schools, organizations, and communities big and small, from West Hollywood to Wisconsin.

Goal to 1000 Communities Covered:

251 /1000

What's our methodology, and what are we doing?

There are quite a bit, but we broke down how we are tacking each.

Only 15% of females pursue an engineering path.

Ozone makes tech education accessible by eliminating the need for coding skills through AI-driven tools. They also offer targeted programs and mentorship specifically designed to encourage and support women in pursuing tech careers.

In 2024, the average cost of app development is over $20k+.

Ozone has reduced development costs from over $1000 to under $500, making it affordable for everyone. They are continually working to bring the cost down further, aiming to make tech creation nearly free, thus lowering the financial barrier to entry.

In 2024, less than 5% of tech employees identify as LGBTQ+.

Ozone provides dedicated resources and support for the LGBTQ+ community, ensuring an inclusive environment. They create platforms and opportunities that specifically cater to LGBTQ+ tech creators, helping increase their representation in the tech industry.

Only 25% of people of color have access to adequate tech resources.

Ozone invests 100% in community support for Queer Communities of Color, providing affordable and accessible tech solutions. They focus on building strong support networks and offering educational resources to empower these communities.

97% of the population does not know how to build the tools they use every day.

Ozone leverages AI and machine learning to eliminate the need for coding, democratizing tech creation. Their tools enable anyone, regardless of their technical background, to develop apps and tech solutions, opening up opportunities for the vast majority of the population.

Social and economic barriers delay 60% of aspiring entrepreneurs from entering tech

Ozone offers support and workshops to aspiring tech entrepreneurs, lowering the barriers to entry. They create opportunities for economically disadvantaged individuals to develop and launch their tech projects, fostering a more inclusive entrepreneurial landscape.

Methodology

What's our technical step-by-step?

Here's our main flow when it comes to iterating and improving our software engine.

Our Thesis

We’re building a tool to fix any problem that technology can solve - just by talking about it. Adjacent tools exist, though they require immense amounts of expertise and expenses. This includes diverse groups such as youth, who can use it to connect and strengthen their communities, and elderly individuals, who can discover ways to connect and share their life stories.

Validating Foundational Actions

We rely on AI to speed up development by handling routine tasks like testing and debugging, freeing up developers to focus on more complex problems. This is a new sector, with most research applicable to our case being less than 3 years old. McKinsey and Company does a good job at truncating the core benefits with AI in our research.

AI is proven to accelerate software and ideation development. (https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/tech-forward/scaling-ai-for-success-four-technical-enablers-for-sustained-impact)
AI sidekicks, or 'Digital Twins,' as McKinsey coined, can be proven to validate the level of difficulty in technical and ideation development and reduce the friction between the idea and bringing it to reality. (https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/tech-forward/digital-twins-when-and-why-to-use-one)

Average Cost

While our goal is offering the lowest possible cost and ease for everyone to solve problems, it comes at a cost. Research and development when it comes to tech has a very high ticket cost. This realization was in fact the reason why Ozone exists now. The only way to know if a software can help pursue our goal is by actually hunkering down and purchasing, developing, then integrating into our logistics flow. No current tool was built with our idea in mind, as they all were built for a world where a heavy knowledge in data engineering and logistics management is needed. This softwares, for our enterprise scale, can cost up to 5-25k per tech stack, and after the cost and hours spent on implementation, we have to cross our fingers to see if it answers one question: Does this make building solutions easier and cheaper for everyone? If the answer is yes, it’s getting implemented! If the answer is no, it’s back to the drawing board.

This is completely uncharted territory, which means that every failure leads me to one step closer to a successful hit. We are currently the only company building this for the average American. For every $20,000 I have placed in R&D, it’s made the end user’s cost 20% cheaper.

Challenges

One of the biggest challenges we face is blending advanced machine learning with user-friendly interfaces that don’t require any technical knowledge. We need to build a system that understands what people say in plain language and turns those words into direct development outlines.

The current tools out there aren’t built with our vision in mind. They’re designed for people who already have a deep understanding of data engineering and logistics management, and they can be very expensive—anywhere from $50,000 to $250,000 per tech stack. Plus, it takes an immense cost of time and money to implement them, and even then, we have to hope they’ll work for our needs.

Prototyping and Testing: We create and test prototypes of our NLP and AI systems to ensure they can accurately interpret and process user inputs. This involves significant trial and error to refine the technology for seamless integration.
Integration and Evaluation: We integrate these prototypes into our platform to assess their compatibility and performance. This involves testing whether the software solutions can be effectively read and utilized by our NLPs. If successful, we refine and scale them up. If not, we go back to the drawing board and shelve the software for potential future use.
A.E.O.S. (Always Embrace Open Source): We leverage open-source technologies to minimize costs and optimize resources, ensuring our platform remains both affordable and capable of integrating various software solutions effectively. If it’s out there and for the public to use, let’s see if the greater public can use it too.

In our case, the only way to know if a software can help pursue our goal is by actually hunkering down and purchasing, developing, then integrating into our logistics flow. No current tool was built with our idea in mind, as the ones needed all were built for a world where a heavy knowledge in data engineering and logistics management is needed.

So far, for every $20,000 we’ve spent on R&D, we’ve managed to reduce costs for users by 20%. This cost-effectiveness, combined with the simplicity and accessibility of our platform, makes Ozone a game-changer.