Co Creators | Living Eden Frameworks

The Engine

Presence-based Super Intelligence can't find a gap, and that's the whole point. Patent-analytics platforms index existing filings. Research-search tools rank existing papers. LLM assistants summarize existing content. All of them operate on presence, and a void has no document to return, no passage to summarize, no token to predict, so they are structurally incapable of finding it.

Living Eden Frameworks Super Intelligence Engine. The engine itself, in a container, in your environment.

It reasons over the shape of the surrounding evidence rather than the evidence alone. Give it a body of records and it reads what has come together and what has stayed empty: convergences, voids ringed by dense and mature activity, the edges between them, and how each has moved across the life of the records. It also follows gaps through time: which are closing and which are opening. For every gap it keeps, it reads what surrounds the gap, checks it against the whole source it came from where that source can be asked, names what keeps it apart where the records can show it (the way the records are kept, or the content itself), and gives the case for and against pursuing it: a starting point, not a prediction. It has been run against 26 distinct corpora, from federal regulations and patent records to hospital files and earthquake catalogues. The read is made for whoever sits in the seat reading the corpus, and the engine widens that seat: it can reach for more records around a gap, it lays out each gap's trace so a person can follow it, and it says what would confirm or refute each finding.

Already running: Research · Patents · Biology · Public Services: formerly Federal & Civic ISB

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Our other builds:

LEF SI is three builds of which LEF SI Engine is one.

LEF SI Education

Single-case research made operational for schools. Score dashboards rank children against a fixed bar; LEF SI Education measures the environment around each student against how that student learns, so every child is their own baseline and every classroom a measured condition. Reads the behaviors behind the scores from assessment data schools already produce, and emits placements, groupings and school matches proven from the building’s own history.

LEF SI Engineering

The engine pointed at what the field is asking to be built. Reads the open solicitation record against patent claims and published research to find where the asked-for thing is already occupied, then assembles what is left into a whole candidate build: the subsystems, the parts a shop would make or buy, and whether a small crew could make it. Every position is tested against what is already sold and already built, and carries what it did not establish. The answer is as often do not rebuild this as a thing to build.

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Competitive Determinations

Awardable & Awarded

Outcomes of assessments run on LEF by the buying side, against criteria they published. Awardable status is eligibility to be purchased through a streamlined pathway; it is not an award and does not guarantee selection.

Deemed Awardable

Decision Support at the Command Edge

Finding What Multi-Source Records Should Contain and Do Not. Assessed against the published criteria and now visible to Government Customers in the IARPA Solutions Marketplace, where the five-minute solution video sits behind their sign-in.

Determined 22 September 2026 • Submission 8-26-0025

IARPA Solutions Marketplace →

Intellectual Property