๐Ÿ“ Methodology

How we score: open recipe, no black box

Every number on FrontierRadar comes from one published formula. Here it is, with a worked example and its limits.

Why a formula?

So you can check our work. Every score on this site comes from the same recipe below. Anyone with the sources can reproduce it, and argue with our inputs.

1. Readiness (0-100): how close to making money

CriterionWeightHow we score it (0-5)
Evidence level55%How far along the proof is (TRL-style ladder).
Manufacturability20%0 = exotic materials no fab can make; 5 = runs on today's standard lines.
Supply chain10%0 = tools/materials don't exist; 5 = mature suppliers ready.
Corporate backing10%0 = academic only; 2 = funded startup; 3 = big-company R&D; 5 = several big firms committing capex.
Independent groups5%1 = one lab; 5 = industry-wide effort.

Evidence ladder (the biggest weight)

  1. Paper / simulation only โ†’ 0% of the evidence weight ยท Stage 1 ยท years-to-market 6-10
  2. Lab demo โ†’ 10% of the evidence weight ยท Stage 1 ยท years-to-market 4-8
  3. Working prototype chip โ†’ 25% of the evidence weight ยท Stage 2 ยท years-to-market 3-6
  4. Customer samples / qualification โ†’ 45% of the evidence weight ยท Stage 2 ยท years-to-market 2-4
  5. Volume production or orders โ†’ 75% of the evidence weight ยท Stage 3 ยท years-to-market 0-2
  6. Revenue at scale โ†’ 100% of the evidence weight ยท Stage 4 ยท years-to-market now

Readiness = sum of weight ร— (sub-score รท 5). Evidence uses the ladder % instead, because going from samples to volume is a far bigger jump than from paper to demo.

2. Other scores

๐Ÿงช Stage

Set by evidence only: 0-1 โ†’ Stage 1 Paper, 2-3 โ†’ Stage 2 Prototype, 4 โ†’ Stage 3 Factories & orders, 5 โ†’ Stage 4 Revenue.

โณ Years to market

From the evidence ladder. Early items (evidence 0-2) get +2 years if manufacturability is 0-1, or โˆ’2 years if it already runs on standard lines (4-5).

๐ŸŽข Hype vs Reality

Hype = 10 ร— claim boldness (0-5; "1000ร— faster" = 5) + 10 ร— attention (0-5: press, funding, famous backers). Gap = Hype โˆ’ Readiness: up to 10 = reality catching up, up to 35 = some hype, more = mostly hype.

โš–๏ธ Patent / IP risk

Average of crowding (how many patent holders, 0-5) and litigation history (0-5): 3.5+ High, 2+ Medium, else Low. Not legal advice.

๐ŸŽฏ Conviction (opportunities)

Score = 0.4 ร— average readiness of linked research + 0.4 ร— 20 ร— exposure (share of the business riding on it, 0-5) + 0.2 ร— 20 ร— execution (track record, balance sheet, 0-5). 65+ High, 45-64 Medium, under 45 Speculative. Not directly investable, or exposure 0-1 โ†’ Watch. Execution 0-1 (e.g. pre-profit, funding risk) caps it at Speculative.

3. Worked example: Gluing chips together copper-to-copper (hybrid bonding)

CriterionSub-scorePoints
Evidence level4/541.2
Manufacturability4/516.0
Supply chain4/58.0
Corporate backing5/510.0
Independent groups5/55.0
Readiness80

Evidence 4 ("Volume production or orders"): Applied Materials is raising its Besi stake and hybrid-bonding tools are being ordered, but SK hynix says the method is not ready for HBM4E memory, so we stop short of 5. Result: Stage 3, 0-2 years. Hype 50 vs readiness 80: reality is ahead of the hype.

4. Re-score on 2026-10-29: what changed

Our first issue used expert judgment directly. Re-running every item through this formula moved these numbers. Stage changes: Neuromorphic S2โ†’S1.

ItemReadinessHypeYearsStage
Computing with light instead of electricity (optical25 โ†’ 3180 โ†’ 804-6 โ†’ 3-6S2 โ†’ S2
A light-based 'highway' between AI chip and memory20 โ†’ 3275 โ†’ 804-7 โ†’ 4-8S1 โ†’ S1
Storing many values in one memory spot (superposed a15 โ†’ 1940 โ†’ 405-8 โ†’ 6-10S1 โ†’ S1
Making noisy analog AI chips accurate (weight splitt30 โ†’ 3530 โ†’ 303-5 โ†’ 4-8S1 โ†’ S1
A light switch sending 200 billion bits per second p35 โ†’ 3645 โ†’ 403-5 โ†’ 2-6S1 โ†’ S1
Stacking atom-thin transistors on top of each other 10 โ†’ 1655 โ†’ 508+ โ†’ 6-10S1 โ†’ S1
Gluing chips together copper-to-copper (hybrid bondi65 โ†’ 8050 โ†’ 501-3 โ†’ 0-2S3 โ†’ S3
Glass replacing plastic under AI chips (glass substr40 โ†’ 5265 โ†’ 702-4 โ†’ 2-4S2 โ†’ S2
Brain-like chip that can learn on the device (neurom25 โ†’ 2860 โ†’ 604-6 โ†’ 4-8S2 โ†’ S1
One transistor that can be logic, memory or neuron10 โ†’ 1635 โ†’ 307+ โ†’ 6-10S1 โ†’ S1
Light-powered brain chip: 1,176x faster on vision15 โ†’ 1670 โ†’ 705-8 โ†’ 6-10S1 โ†’ S1
Silicon photonics reaches high-volume factories75 โ†’ 8425 โ†’ 300-2 โ†’ 0-2S3 โ†’ S3

Conviction changes

CompanyConvictionScore
IbidenSpeculative โ†’ Medium61
Tower SemiconductorSpeculative โ†’ Medium49
CorningSpeculative โ†’ Medium53
BrainChipWatch โ†’ Speculative55
BesiMedium โ†’ High88
Kaynes TechnologySpeculative โ†’ Watch34
CG PowerSpeculative โ†’ Watch52
AdeiaSpeculative โ†’ Medium64
STMicroelectronicsMedium โ†’ High66
TSMCHigh โ†’ Medium57
AMDMedium โ†’ Watch39

5. Data sources & update cadence

6. Limitations (please read)

โš ๏ธ Not investment, legal or financial advice. Do your own research and consult a registered adviser.

โ†‘