Methodology · How Limn Works
The Synthetic Consensus Engine
Limn identifies structural gaps by finding where independent analytical sources agree that something must exist -- but nothing does. This document describes how that process works, what it produces, and what it cannot produce.
What does the structure of the market imply that no one has named yet?
Every commercial market has a topology. The known positions -- the named vendors, the established products, the catalogued instruments -- describe part of that topology. But the structure implies more than it contains. The observable market creates expectations: there should be an intermediary here, a pricing mechanism there, a category at this intersection. When that expectation is consistent across independent analytical sources, and nothing exists to fulfill it, that position is a structural gap.
Gartner's Magic Quadrant answers: which vendors should you buy? Limn asks: which positions don't have a vendor yet -- and what does the market structure imply about why they must eventually exist?
"The interesting object is not what the data contains. It is the shape the data implies about what it doesn't contain."
This is not forecasting. It is structural cartography -- mapping the coastline of territory that has been measured indirectly but not yet entered.
Five stages from domain directive to SCE-validated gap.
Domain Directive
Every analysis begins with a structured directive: the domain under analysis, the known covered space (existing vendors, instruments, or products to treat as the baseline), and the axes along which position is measured. The directive defines what "inside the boundary" means, so the analysis can map what lies outside it.
Independent Analytical Sourcing
Multiple independent analytical sources are deployed against the domain simultaneously. Each source operates without awareness of the others' outputs. This independence is structural -- it is what prevents the output from reflecting shared assumptions rather than genuine structural inference. The sources are drawn from different analytical traditions, different training distributions, and different knowledge bases.
Position Extraction
Each source independently identifies candidate structural positions -- market positions that the domain analysis suggests must exist but have no named incumbent. These are collected without cross-reference. At this stage, there may be dozens of candidates per source, with significant overlap and significant divergence.
Convergence Scoring
Candidate positions are scored by the frequency and consistency of independent agreement. A position that appears across many independent sources, described in structurally consistent terms, receives a high convergence score. A position that appears in only one or two sources, or is described inconsistently, receives a low score and is flagged rather than published. The convergence score is the primary quality signal -- it is not a measure of how important a gap is, but of how much independent analytical agreement exists that the gap is real.
Human Analyst Review
High-convergence positions are reviewed by a Limn analyst before publication. The review verifies that the position description is structurally coherent, checks that the gap is not already filled by a player outside the known covered space definition, and flags any positions where the convergence signal may be an artifact of shared analytical assumptions rather than genuine structural absence. Positions that do not survive review are excluded or downtiered. The analyst's judgment is the final gate.
What the score means -- and what it doesn't.
The SCE convergence score measures the degree of independent analytical agreement that a structural position exists. It is not a confidence interval. It is not a probability. It is a measure of how many independent sources, operating without shared context, arrived at structurally consistent descriptions of the same absence.
| Score Range | Publication Tier | Meaning |
|---|---|---|
| 0.85 – 1.00 | Deep Dive (top tier) | High-confidence structural absence. Multiple independent sources, consistent description. Entry window likely open. |
| 0.75 – 0.84 | Standard | Strong convergence. Minor inconsistencies in position description. Gap is real; architecture may vary. |
| 0.70 – 0.74 | Surface | Threshold convergence. Gap is structurally implied; independent agreement present but narrower. Worth tracking. |
| < 0.70 | Not published | Insufficient independent agreement. May be real but cannot be validated by current methodology. Flagged for future runs. |
The threshold is not arbitrary. At 0.70, a position has crossed from "one analytical perspective suggests this" to "multiple independent perspectives agree this must exist." Below that threshold, the risk of publishing a gap that reflects analytical bias rather than structural reality is too high to meet the standard a research product requires.
The baseline that defines where the analysis begins.
Every domain analysis is run against a defined known covered space -- the set of existing vendors, instruments, products, or positions that are treated as established baseline. These are not evaluated. They are excluded. The analysis asks what lies outside them.
For domains with a Gartner Magic Quadrant or Forrester Wave, the MQ vendor list forms the primary known covered space. For domains without established MQ coverage, the known covered space is built from primary research: market leadership surveys, transaction records, and domain expert consultation.
The known covered space definition is published in every Limn report. It establishes the boundary of what is already mapped, so the gaps documented in the report are precisely the positions that lie beyond that boundary.
This is the mechanism that makes Limn complementary to Gartner rather than competitive with it. Gartner defines the known covered space. Limn maps the delta.
The methodology has limits. They are structural, not incidental.
- Forecasts of when a gap will be filled -- entry window assessments are structural estimates, not predictions
- Named companies that will fill specific gaps -- we identify positions, not actors
- Price targets, return projections, or investment return estimates
- Guarantee that a high-convergence gap is commercially viable -- structural absence ≠ commercial opportunity
- Real-time data or live market intelligence -- outputs reflect the domain state at time of analysis
- Coverage of positions within the known covered space -- those are baseline, not gap
- Legal, regulatory, or compliance guidance on gap entry strategies
- Analysis of why a gap has persisted -- only that it has, and that multiple sources agree it remains unfilled
How to cite Limn Labs research.
Limn Labs reports are citable as primary research. The convergence score is a citable metric. The methodology is documented and reproducible at the structural level: the same directive, run against the same domain in the same quarter, should produce ≥80% overlap in top-tier gap positions.
For due diligence contexts, methodology documentation including source framework descriptions, scoring algorithm parameters, and analyst review protocols is available on request.