Five answers, each one authorized.
Together, one disclosure.
Intelligence is assembled. So is risk.
Singularity Minded builds controls and forecasts for institutions handing consequential decisions to AI. Our disclosure control is patent pending.
The next failure won’t look like a breach.
Access controls judge each request on its own. A model working inside its permissions can still hand someone a conclusion no one would have approved: a client’s position, a sealed matter, the location of a program. It gets there one reasonable question at a time.
Forecasts fail the same way. Every assumption is defensible, and the result happens to flatter the decision it was built to support.
Both failures live in the whole and hide in the parts. We build instruments that measure the whole.
Not a prompt filter.
Filters inspect one message. The risk is in the sequence.
Not a model.
Models change every quarter. Our work sits around them and outlasts them.
Not a slide deck.
We advise, and we ship the software that holds the advice in place.
Disclosure control
Control what AI lets people piece together.
Patent pending.
Every answer was authorized. The conclusion wasn’t.
The system follows what a person is learning across a session, not only what each query returns. When separate, permitted answers start to add up to something sensitive, it steps in before the picture is complete.
- Sees the session
- Tracks what has been disclosed across queries, people and time.
- Acts before the conclusion
- Responds in proportion to the risk, early enough to matter.
- Fits the stack you have
- Ships as an SDK for existing retrieval pipelines. The model stays as it is.
- Shows its reasoning
- Every intervention leaves an evidence trail your security team can audit.
- Protection
- U.S. patent application filed
- Built
- Service, SDK, operator console, validation harness
- Disclosure
- Technical brief available under NDA
A session, one question at a time
Fictional company. Illustrative values.
- An employee with ordinary access asks an internal AI assistant five routine questions. Step through them.
What these add up to
Nothing yet.
- Access control
- 0 of 0 allowed
- Disclosure control
- Watching
Workforce forecasting
What actually puts a person back to work.
And what it returns, in earnings and in public dollars.
Millions of Americans work below their capacity or not at all. The programs meant to change that are mostly funded on conviction.
Our forecasting engine estimates, for each kind of worker, the least costly intervention that leads to durable employment, and its fiscal and economic return. It also reports where the return doesn’t hold, and why.
- No intervention
- Job matching
- Transportation
- Childcare
- Credentialing
- Sector training
- Relocation
Illustrative. Each rung has to beat every cheaper one, not just zero.
- Built
- Reproducible national data foundation
- Validation
- Preregistered. Decision rules are fixed before results are seen
- For
- Public agencies, workforce boards, impact capital
Evidence first, including the evidence against us.
We set the test before we see the result.
Decision rules are written down and locked before the data is examined. Nothing is tuned until it looks right.
We publish where it fails.
Every model ships with the conditions under which its answer shouldn't be trusted.
We keep knowledge and assumption apart.
Every claim carries its evidence. Unknowns stay marked as unknown.
Institutions that carry liability for a conclusion need tools that can defend it.
Where conclusions carry liability.
AI is moving into regulated work faster than the controls built for it. We start where the cost of a wrong conclusion is highest.
- Finance
- Positions, deals and client exposure assembled from routine questions.
- Government and defense
- Programs and locations inferred from unclassified pieces.
- Legal
- Privileged and sealed matters reconstructed across a matter team.
- Enterprise
- Strategy, people decisions and M&A pieced together from internal knowledge.
In development
Custody in transit
Chain of custody for assets in transit, recorded on a distributed ledger. Being developed for defense logistics.
Advisory
We help leadership teams decide where AI can be trusted with a decision and where it can’t, and then build the controls.
The rest is under NDA.
This page says what our systems do. How they do it is covered in a private briefing for qualified investors. Tell us who you are and we’ll set one up.
A briefing covers
- How the disclosure control works
- The patent filing
- Product and commercial roadmap