Project summary AI agents remember everything, and nobody checks if they should.

Law firms, hospitals, and defense contractors are deploying them anyway.

Trace Continuity Labs is a governed memory platform that verifies authority before AI memory is stored or retrieved. Every operation passes through governance that can allow, deny, or transform the data, protect sensitive identifiers, enforce retention, and create an immutable audit record. If the authority cannot be proven, the operation does not happen.

The platform is live, with a public Playground and Break Arena where anyone can test the governance layer themselves.

Trace was built by a solo founder, with no team or outside funding, over two and a half years. It works.

Now it needs independent validation and real-world pilots to prove what it can do outside its own environment.

You can also test it yourself at

https://tracecontinuity.com

What are this project's goals? My goal is to take Trace Continuity from a working platform to something that has been independently tested and proven in the real world. I want outside security and technical experts to test what I built, find the weaknesses, and help prove whether it does what I say it does. I also want to get Trace into real pilot programs with law firms, hospitals, defense contractors, or government organizations and see how it performs with their systems and their requirements. The platform is built. My goal now is to prove it outside of my own testing, strengthen anything that needs strengthening, and get it into the hands of organizations that actually need it.

How will you achieve them?

I will achieve these goals by using the funding to bring in independent security and technical experts to test Trace and look for weaknesses I may have missed. I will use what they find to strengthen the platform where needed and document the results. At the same time, I will work to put Trace into real pilot programs with law firms, hospitals, defense contractors, or government organizations. Those pilots will let Trace be tested with real requirements, real authority changes, and real governance problems instead of just my own testing environment. The goal is simple. Let independent people try to break it, fix what needs fixing, then prove it can work in the real world.

How will this funding be used?

The funding will be used to take Trace through the next stage that I have not been able to fund on my own. The biggest part will go toward independent security testing and technical review so people outside of Trace can test the platform, try to break it, and verify the claims I am making. Funding will also be used to fix and strengthen anything those reviews uncover, prepare the platform for real world pilot programs, and cover the technical and infrastructure costs of running those pilots. I also want to use part of the funding to bring in technical help where the work has moved beyond what I can reasonably handle alone. I have bootstrapped Trace for two and a half years. This funding would let me bring in the outside expertise and real world testing that I cannot provide by myself.

Who is on your team? What's your track record on similar projects?

I am the team right now. I grew up poor, left school in the ninth grade, and have spent about 35 years working as a carpenter. I had no background in software engineering or AI when any of this started.

About two and a half years ago, I set out to build the most human-like AI bot I could. My original goal was to build something that could really get to know a person over time and help people dealing with things like addiction, weight loss, and depression.

I quickly ran into the memory wall. An AI could have a great conversation with someone, but without reliable long-term memory it could not really know that person over time. So I started trying to solve the memory problem.

The deeper I got into it, the more I realized that simply giving AI better memory created another problem. If an AI is going to remember people and information over long periods of time, somebody has to control what it is allowed to remember, who is allowed to access that memory, when that authority changes, and how you prove what happened later.

That is how Trace Continuity Labs came about.

I did not have a team of engineers. I learned to use about six different AI systems much like I have used different contractors throughout my career. I gave them different jobs, compared their work, had them challenge each other's work, tested what they produced, broke things, fixed them, and kept building.

It has taken two and a half years, thousands of hours, thousands of pieces of broken code, plenty of starting over, and a lot of persistence to get here.

Today Trace is a live working platform. It verifies authority at the time something is stored or retrieved, applies governance rules, protects sensitive information, keeps data inside the proper boundaries, and creates audit evidence showing what happened and why.

I do not have a traditional track record of building technology companies. My track record is Trace itself. I started with no technical education, no development team, and no outside funding, and stayed with the problem until I had a working platform that people can actually test.

I also know I have reached the point where Trace needs expertise beyond what I can provide by myself. That is why independent validation and bringing experienced technical people into the next stage matters so much. I built it. Now I want qualified people to test it, challenge it, find anything I missed, and help prove what it can do in the real world.

What are the most likely causes and outcomes if this project fails?

The most likely reason this project would fail is not because Trace cannot be built. It is already built and working. The bigger risk is that independent testing finds weaknesses that I did not find in my own testing, or that the platform does not perform as well when it is put into a real organization with real systems, policies, users, and data.

Another risk is getting organizations to actually participate in pilots. Law firms, hospitals, defense contractors, and government organizations move slowly and have strict security and procurement requirements. Even if they see value in Trace, getting access to a real environment and the right people could take longer than expected.

There is also the possibility that the market simply does not value this problem as much as I believe it will. Companies may decide their existing governance tools are good enough, or they may not be ready to spend money solving the problem yet.

If the project fails, I still believe there will be value in finding out why. Independent testing could show exactly where Trace needs improvement. Failed pilots could show where the architecture does and does not fit real world systems. And if organizations are not willing to adopt it, that tells me something important about the market.

I have spent two and a half years building Trace because I believe this problem is real. The next step is not proving myself right. It is putting what I built in front of independent experts and real organizations and letting the evidence tell me whether I am right.

How much money have you raised in the last 12 months, and from where?

$0. Trace Continuity Labs has raised no outside funding in the last 12 months. The company has been completely bootstrapped and self-funded by me.