Where human intuition and AI bloom into breakthroughs.
We pair human intuition with artificial intelligence to reveal non-obvious paths through the hardest problems in science and R&D. The open Founding Beta is available for the first 50 paid reports, with up to 5 accepted each week.
Discover Flowering Intuition.
From the first cross-disciplinary hunch to a new path worth pursuing.
An LLM prompt is a note.
We are the symphony.
Anyone can now generate a plausible cross-disciplinary analogy from a clever prompt. What a prompt can't tell you is which ones are real. We don't sell analogies — we sell analogies you can stake a research program on, with an audit trail. In a world drowning in confident-sounding ideas, that is the scarce thing, and it is the only thing we are in business to deliver: trust.
Two inputs. One bloom.
The hardest problems yield to neither human nor machine alone. They open when the two are multiplied together — a product, not a sum. If either is missing, nothing flowers.
Human intuition
Taste and judgment: which problem matters, which direction smells right, and when an answer is beautiful. The part no model has.
Artificial intelligence
Tireless exploration, pattern generation, and cross-field memory — opening possibilities a person would rarely reach alone.
Discovery
Intuition points; AI expands the field of view. Together they reveal paths that were out of reach for either side working alone.
See it on a real paper: we ran AlphaFold — the most-cited paper of the decade — through the engine and it surfaced five other fields it secretly belongs to.
Extract the mechanism. Transplant it. Verify it.
Every paper or source idea can hide a way of doing things beneath its vocabulary. We lift that mechanism out, carry it toward the problem you care about, and hand you the check to run before you believe it.
Find the real mechanism
Strip away the source's vocabulary and isolate the deep structure it actually discovered.
AlphaFold → "resolve a vast space of possibilities into the one stable configuration the constraints allow."Carry it into a distant field
Drop that mechanism into another discipline or problem space and ask what it becomes — and which open problem it quietly solves.
…becomes price discovery in economics, or the Nash equilibrium of a protein chain in game theory.Hand you the check to run
Every lead ships with the concrete test to run first. We propose a candidate bridge and how to confirm it — never an unbacked claim.
Each card carries its own risk note and next verification step.Frame. Explore. Reveal.
Our difference is the middle step: we do not stop at plausible ideas. We pressure-test directions until only the strongest paths remain.
Propose
Human intuition frames the problem and chooses where to dig; AI generates a vast field of candidate solutions.
Explore
We examine the candidate paths through private internal checks, cross-field pressure, and disciplined reasoning.
Reveal
What survives becomes a direction you can investigate, build on, publish, protect, or escalate into a deeper engagement.
A glimpse of the method.
We ran AlphaFold through the engine and it surfaced five other fields it secretly belongs to — each with a concrete bridge and a verification step you can check.
A real, end-to-end run you can read in full — not a teaser.
We ran Attention Is All You Need through the same engine as a calibration test — where the field already knows the deep answers, you can check whether we recover them.
A product-style report with projections, cards, trajectory, and deepening controls.
We ran Leibniz's Monadology through the engine and projected it into pragmatism, Bergson's élan vital, Iqbal's khudi, and Popper's logic of scientific discovery — each lead grounded in its own audited citation pool.
A real, unedited end-to-end report — the actual deliverable someone receives when they bring a source idea and request projections.
We ran Einstein's “The Foundation of the General Theory of Relativity” through the engine at full Frontier depth — 25 cross-disciplinary insight cards spanning 20 distinct disciplines, each a candidate bridge with its own audited evidence and verification step.
A complete, unedited Frontier-tier deliverable — the widest report the engine produces, shown in full.
Run privately on hard mathematical terrain, the same method has surfaced non-obvious structure — including echoes of Strassen-style matrix multiplication. That deeper engine stays private, shared only inside scoped research conversations.
One report gives breadth. Deepen gives depth.
A report hands you several leads at once. Deepen takes any single lead and pushes it one level further — the analogy of the analogy — until a broad direction sharpens into a specific, defensible one. Research includes one Depth-2 credit and Frontier includes two; after credits, Depth 2 is $35, Depth 3 is $60, or three Depth-2 credits are $79.
A surfaced direction
One cross-disciplinary insight card from your report — a candidate bridge with its evidence and a verification step.
Analogy of the analogy
Ask the engine to go a level deeper on that one lead: a sharper mechanism, a tighter bridge, a more specific problem it quietly solves.
Sharper still
Go deeper again where the lead earns it. A deepened lead that turns distinct, defensible, and high-stakes is exactly what becomes a Golden Garden engagement below.
Golden Garden is where a lead becomes a problem worth solving.
Ingest Paper gives breadth. Deepen gives focus. When a lead clears our private Golden Garden screen, we stop selling another artifact and open a founder-led engagement: one hard problem, shared upside, and a path toward protectable or licensable value.
A report or Deepen run reveals a candidate bridge with audited evidence.
We put it through our private Golden Garden screen — what that screen weighs stays confidential by design.
If it qualifies, the next step is not another card. It is a scoped Golden Garden project.
Built for the hardest problems across science & R&D.
The method is general: wherever a problem has hidden structure, the pairing can help reveal new directions.
These are examples, not limits. If a problem hides structure beneath its surface vocabulary, the pairing can read it — in any discipline.
Start with a source idea.
Bring a paper, framework, or idea you believe contains a mechanism for your problem. Ingest Paper extracts its hidden structure and tests where it can travel.
Try one projection for $25 →Already gone deep and hit a real wall? The form to the right is the next step — for scoped, founder-led research engagements, not quick runs.