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Study · Startup World Cup 2026

Winning the Startup World Cup before you step on stage

You do not win the Startup World Cup on stage: you win it in the 12 to 24 months before, by building up evidence that investors can verify. This study analyzes the 151 startups of the 2026 Grand Finale in San Francisco, the eight champions from 2017 to 2026 and 50 regional finals. It is written for any founder who wants to take part, any support organization preparing a startup, and any decision-maker who wants to understand what sets the best apart. It complements the atlas of the 151 startups, which holds a profile of each one.

Grand Finale, Hilton San Francisco, 6 November 2026.
  1. ≈ 32,000estimated applications
  2. ≈ 200regional finals
  3. 151finalists in San Francisco
  4. 74countries represented
  5. $278Mraised by the finalists
  6. 1world champion

Executive summary

  1. Extreme selection. About 32,000 startups apply each year for a single title. A regional final keeps a median of 10 finalists out of 160 applicants; in San Francisco, 10 of the 151 finalists reach the Top 10.
  2. The Top 10 stands out for its evidence, not its product. 60% of the Top 10 has strong commercial traction, against 14% of the other finalists; but having a product on the market makes no difference (60% against 58%).
  3. Capital already raised is a decisive signal. 60% of the Top 10 has reached Series A, against 4% of the others. The median amount raised is $9.6M against $1.2M.
  4. The bar for champions has risen. From 2017 to 2019, seed-stage startups won. Since 2022, every champion had already raised at least $20M.
  5. Deep technology dominates the winners' list. Since 2019, no champion has been pure software: materials, energy, medical devices.
  6. AI is not a selling point. 31% of the other finalists have AI at the core of their product; no Top 10 startup does.
  7. Time matters. The median age of the Top 10 is 6.5 years, against 3.5 years for the other finalists.
  8. The market must be global and easy to read. The median addressable market of the Top 10 is $13bn, against $5.4bn.
  9. Money is concentrated. The 151 finalists raised $278M in total, a third of it by five startups; the median of known amounts is $1.3M. Startups from small economies raise on average six times less than US startups.
  10. Two paths lead to the title. Funded technological breakthrough (the champions of 2022 to 2026) or proven use at scale (the software startups in the Top 10). A startup must know which path it is on, and produce the evidence that matches it.

A proposal for what comes next. The competition has grown faster than its format: about 200 regional champions for a single Top 10. The study proposes rewarding the best case in each of six groups of comparable startups, opening a platform that connects startups with investors before the final, and building a lasting network of former finalists from an atlas like this one (section 16). These ideas have limits and must be discussed with the organizer; their purpose is to start a momentum.

1Introduction

The Startup World Cup has become one of the largest startup competitions in the world, and its jury is made up entirely of venture capital investors. Organized since 2016 by Pegasus Tech Ventures, a Silicon Valley venture capital firm, it brings together regional finals on six continents. Their winners meet each fall in San Francisco for a Grand Finale whose prize is a $1M investment.

Why this study

Advice on how to "win a pitch competition" is plentiful, but it is rarely based on data. Yet the Startup World Cup offers a rare field of observation: 151 startups from 74 countries, all selected through a first regional win, judged on the same day by the same jury. By comparing those that reach the Top 10 with those that stop short, and by tracing the history of the champions, we can separate what really makes a difference from what does not.

The study's questions

  1. What is the real scale of the competition, from regional application to world title?
  2. Who are the 151 finalists of 2026: countries, sectors, age, maturity, funding, use of AI?
  3. What sets the Top 10 apart from the 141 other finalists?
  4. What is the profile of the champions since 2017, and how has it changed?
  5. Which strategies can a startup follow, depending on its profile, to maximize its chances, and how could the competition better connect startups and investors?

How to read this document

Sections 2 and 3 set out the method and the framework of the competition. Sections 4 to 9 present the results, with their figures. Sections 10 to 15 draw a practical method from them: levers, strategies by profile, pitch, 12-month plan, mistakes to avoid. Section 16 proposes changes to the competition; the study's limits are discussed in section 17. Each startup cited has a detailed profile in the atlas.

2Materials and methods

The study rests on three public datasets, collected and verified in November 2026: the 151 finalists of 2026, the champions since 2017 and 50 regional finals. Every figure is sourced in the atlas or in the sources of this document.

2.1 Study population

2.2 Sources

Public sources only: startups' official websites, press releases, business and trade press, public pages of funding databases (Crunchbase, Tracxn, PitchBook, Dealroom), company registers, founders' public profiles, and pages of the Startup World Cup and Pegasus Tech Ventures. The atlas cites 611 sources for the 151 profiles. The research was carried out by AI agents working in batches, required to cite every source, then reviewed and corrected by hand.

2.3 Identification and cross-checking

Each name was searched on its own, then with "Startup World Cup 2026" and the name of the regional final, to rule out namesakes. Identification confidence is high for 93 startups and medium for 58. A second, independent pass reviewed 150 profiles; 112 were corrected or completed.

2.4 Variables measured

Variable Definition Coverage
Country and continent Country of operational headquarters 151 startups
Sector 15 harmonized sectors 151
Year founded Legal incorporation, otherwise declared launch; as a last resort, the website's first archive, flagged as an estimate 134
Funds raised Equity and grants in $M; debt, in-kind prizes and unclosed targets excluded 76 disclosed amounts, 55 with no funding
Funding stage Last known round: pre-seed, seed, Series A, Series B and later, self-funded 102 determined
Product maturity R&D, prototype, pilot, product on the market 151
Traction None known, pilots or letters of intent, first customers, strong traction 151
Use of AI AI at the core, AI integrated, no documented AI 151
LLM provider Only on public evidence 34
Investor rating Four criteria from 1 to 10 and an overall score 151
Addressable market (TAM) 2025 global market of the targeted segment, in $bn of revenue 151
Scalability Ease of replicating the model in other countries, from 1 to 10 151

2.5 Calculation rules

2.6 Scoring grid

Each startup is scored as an investment bank analyst would, on four criteria from 1 to 10, each justified in one sentence in the atlas.

Criterion 1–3 4–6 7–8 9–10
Disruption Incremental improvement Real innovation in a known category New approach that can change practices Platform or technology breakthrough
Business model strength No proven revenue or customers Pilots or first paying customers Recurring revenue or solid contracts Proven profitability at scale
Market potential TAM below $1bn TAM of $1bn to $20bn TAM of $20bn to $100bn TAM above $100bn, scalable and international
Risk (10 = very risky) Risks under control Usual risks Significant risks Major risks

Risk combines technology, regulation, execution and team, cash relative to needs, competition and data uncertainty. The market score starts from the TAM (3 below $1bn, 4 from $1bn to $5bn, 5 from $5bn to $20bn, 6 from $20bn to $100bn, 7 above), with +1 if scalability reaches 8, −1 if it is 4 or less, and +1 if the startup sells in at least two countries.

Overall score=Disruption + Model + Market + (11 − Risk)4

Categories: A from 7, B from 6 to 6.9, C from 5 to 5.9, D below 5. These scores are an analyst's judgment on an explicit grid; they do not reproduce the jury's assessment.

2.7 Fairness adjustments to the addressable market

Finalists on the Grand Finale stage, lit in blue and purple
The Grand Finale, Hilton San Francisco, 6 November 2026.
Founders waiting for their turn in front of the Startup World Cup backdrop
Semi-finals: founders waiting for their turn.

3The competition

The Startup World Cup is a global funnel: about 32,000 applications, 200 regional finals, 151 finalists in San Francisco, 10 startups in the Grand Finale and a single champion.

3.1 Organizer, format and prize

3.2 Very rapid growth

Edition Published scale
2016–2017 11 markets; 15 finalists at the first Grand Finale
2018 28 finalists from 27 countries
2020–2021 No Grand Finale (pandemic); a few online regionals
2022 Regionals in more than 70 countries; 56 regional champions in the semifinal
2023 About 50 countries; 52 regional champions in the semifinal
2024 About 100 cities; 84 regional champions in the semifinal
2025 More than 100 regionals; more than 30,000 applicant companies from 135 countries
2026 About 200 regionals; 151 finalists on the official lists

The number of regional champions almost quadrupled between 2023 and 2026, while the Top 10 stays fixed. Each edition is therefore more selective than the last.

3.3 The funnel

FigureAbout 32,000 applications for a single world champion
32,000Applications (estimate)200Regional champions (approx.)0.6% of the previous stage151Finalists on the official lists76% of the previous stage10Top 10 at the Grand Finale7% of the previous stage1World champion10% of the previous stage

Official Grand Finale 2026 page and official finalist lists; applications estimated as about 200 regionals × 160 median applications.

The first cut is the hardest: a regional final keeps only one winner out of about 160 applicants, or 0.6%. The second takes place in San Francisco, where 7% of finalists reach the Top 10. Once in the Top 10, there is a one-in-ten chance left.

3.4 The scale of the regional finals

Across some twenty regionals from 2023 to 2026 that publish their figure, the median is 160 applications for 10 finalists. The largest exceed 200 (Tokyo, about 250 each year; Las Vegas during the CES trade show, about 500). The smallest are around 80 to 120 (Cyprus and Azerbaijan in 2025, New York and Nagoya in 2026).

FigureA regional final means a median of 160 applications for 10 finalists
FinalistsApplicationsLas Vegas (CES)Las Vegas (CES) : 50050015TokyoTokyo : 25025010VenezuelaVenezuela : 20020010EswatiniEswatini : 16116110AzerbaijanAzerbaijan : 16016010TunisiaTunisia : 160160–KazakhstanKazakhstan : 14014010NagoyaNagoya : 12012010New YorkNew York : 11611612Greater Noida (India)Greater Noida (India) : 10010025median: 160

2026 regional finals that publish their number of applications (press releases and local media).

The total estimate can be checked in two ways. By calculation: about 200 regionals × 160 applications = 32,000. By the organizer: the press release for the 2025 Grand Finale announced more than 30,000 applicant companies. Since the official pages sometimes announce 100 regionals and sometimes 200, the realistic range is 16,000 to 32,000 applications. The full table of the 50 documented regionals is in the atlas.

4Overview of the 151 finalists

The 2026 field is global, young and still not very mature: 74 countries, a median age of 4 years, and only 17% of startups with strong commercial traction.

4.1 Geography

Continent Startups Share Most represented countries
North America 41 27% United States (40)
Europe 40 26% Germany, Spain, Finland, France, Italy (3 to 4 each)
Asia 32 21% South Korea (4), Japan, Malaysia, Taiwan (3 each)
Latin America 16 11% Brazil, Costa Rica, Guatemala (2 each), then 10 countries with one startup
Africa 10 7% Ghana, Egypt, Morocco, Eswatini, Tunisia, Botswana, Kenya, Mauritius, South Africa, Angola
Oceania 6 4% Australia (4), New Zealand (2)
Middle East 5 3% United Arab Emirates, Israel, Saudi Arabia, Qatar, Jordan (1 each)

The United States alone accounts for 26% of the field; no other country has more than 4 startups. The competition is therefore highly dispersed outside the United States: 73 countries share 111 places, almost always one or two per country. A startup does not just represent its region: it is often the only one from its country in San Francisco.

4.2 Sectors

FigureOne finalist in four builds AI or software, one in four works in health
AI & softwareAI & software : 4141MedTech & devicesMedTech & devices : 1414Climate & energyClimate & energy : 1313Agri & FoodTechAgri & FoodTech : 1313HealthTechHealthTech : 1212Biotech & life sciencesBiotech & life sciences : 99Deep tech & materialsDeep tech & materials : 88Robotics & hardwareRobotics & hardware : 88FinTechFinTech : 66EdTechEdTech : 66Commerce & retailCommerce & retail : 55SpaceSpace : 55CybersecurityCybersecurity : 55Industry & logisticsIndustry & logistics : 44MobilityMobility : 22

Number of startups per sector, 151 finalists in 2026. In gold: the three health sectors, 35 startups in total.

AI and software lead in number, but health in the broad sense (medical devices, digital health, biotechnology) brings together 35 startups, almost as many as AI and software (41). Next come climate and energy, then agriculture and food. Deep technologies (materials, robotics, space) form a block of 21 startups.

4.3 Age

FigureNearly one startup in two is less than four years old
8≤ 2015202016–18182019–20242021–22142023262024242025–26

Founding year of the 134 finalists whose year is known; in gold, the 64 founded since 2023. Periods of unequal length.

The median age is 4 years in 2026. Nearly one startup in two was founded in 2023 or later, and 24 were founded in 2025 or 2026: the competition attracts many very young companies. At the other end, 8 startups are more than ten years old, including ZymoChem, the 2026 champion, founded in 2013.

4.4 Maturity

Dimension Breakdown of the 151 startups
Funding stage Pre-seed 46 · Seed 34 · Series A 9 · Series B and later 3 · Self-funded 10 · Undetermined 49
Product maturity Product on the market 88 · Pilot 31 · Prototype 22 · R&D 10
Traction Strong traction 26 · First customers 51 · Pilots or letters of intent 31 · None known 43

Most finalists have a product on sale (58%) but traction that is still weak: 49% have pilots at best. Only 12 startups have reached Series A. The field is therefore made up mostly of seed-stage companies, which makes the rare cases that are already funded and growing all the more visible.

5Funding

The 151 finalists raised $278M in total, but the median startup raised only $1.3M and more than a third raised nothing. Money is concentrated, and it depends heavily on the size of the home economy.

5.1 What the finalists raised

The total of $278.2M includes $258.8M of equity and $19.4M of public grants.

5.2 Strong concentration

Rank Startup Country Funds raised
1 ZymoChem United States $25M
2 Yo-Kai Express United States $19M
3 Pleryon Therapeutics China $18.6M
4 ProcurePro Australia $15.4M
5 Astrome India $14M
6 Neurosoft Bioelectronics Switzerland $13.8M
7 BILIX South Korea $13.3M
8 ORA Technologies Morocco $11.4M
9 Enexor Energy and Chonex United States $10M each

The five best-funded startups account for 33% of all the money raised by the field, and the first, ZymoChem, for 9% on its own. Any average calculated on this field is therefore misleading: it is the median that describes the typical startup.

5.3 By continent

Continent Startups Funds raised Average per startup
North America 41 $93.7M $2.3M
Asia 32 $67.2M $2.1M
Europe 40 $58.1M $1.5M
Oceania 6 $19.0M $3.2M
Africa 10 $15.5M $1.6M
Middle East 5 $13.8M $2.8M
Latin America 16 $10.9M $0.7M

A North American startup raises on average 1.6 times more than a European startup and more than three times more than a Latin American startup. Europe, though almost as well represented as North America, raises 1.6 times less in total. The highest averages are in Oceania ($3.2M) and the Middle East ($2.8M), but across few startups.

5.4 Raising from a small economy

Size of the economy (2025 GDP) Startups Raised something Raised at least $1M Average amount raised
Less than $100bn 21 33% 14% $0.4M
$100bn to $1,000bn 50 48% 32% $1.3M
More than $1,000bn, excluding the United States 39 49% 36% $2.8M
United States 40 65% 38% $2.3M

A startup from a country with a GDP below $100bn is about 2.5 times less likely to raise $1M than a startup from a mid-sized country, and raises on average six times less than a US startup, and seven times less than a startup from another large economy. Local capital is scarce, and foreign investors know these markets poorly.

Difficult does not mean impossible. Three startups from small economies have passed $1M: Astrolight (Lithuania, $4.75M with the NATO accelerator, European funds and the European Space Agency), FRESH 32 (Slovenia, $1.3M led by a Central European regional fund) and Nanogrow Biotech (Uruguay, $1.2M with an Argentine fund). What they have in common: the money does not come from their own country.

What a startup from a small economy can take from this:

6Artificial intelligence and LLMs

Half of the finalists use AI, but AI does not set the best apart: no Top 10 startup has AI at the core of its product.

6.1 Three levels of use

Level Definition Startups Top 10
AI at the core The product does not exist without AI 44 (29%) 0
AI integrated AI is one function among others 31 (21%) 4
No documented AI No public trace of AI, which does not prove its absence 76 (50%) 6

Startups with AI at the core of their product are mostly software companies (28 of 44), followed by digital health startups (5). The Top 10, for its part, includes four startups that integrate AI as a tool (Kauche, ProcurePro, Yo-Kai Express, Crednce) and six with no documented AI.

6.2 Why AI is not enough

In 2026, access to large language models is within reach of any team: an AI feature can be copied in a few weeks. A jury of investors looks for what cannot be copied: customers, proprietary data, industrial know-how, regulatory approval. Top 10 startups talk about the problem solved and the result achieved; AI explains how, never why.

6.3 LLM providers

Only 34 startups give public information on the models they use, and 21 of these merely mention AI without naming a provider. Among the providers named:

Provider Startups that cite it
OpenAI (GPT, Whisper, Sora) 8
Anthropic (Claude) 5, one of them based on a clue
Google (Gemini, Veo) 3
Microsoft Azure OpenAI 2
AWS Bedrock 2
Voice providers (ElevenLabs, Deepgram) 4
Proprietary models 2
DeepSeek, Mistral, Meta Llama 1 each

A trend is emerging: several startups report a multi-model architecture that chooses the provider by task or switches from one to another (Orbis, TIBOK, UnitSense). This approach reduces dependence on a single provider and a risk investors often point out: a startup built on a third party's API, which can change its prices or terms.

7An investor's reading

Scored on the grid in section 2.6, only 16 of the 151 startups earn an investment score of 6 or more, and the median score is 4.3 out of 10. Most finalists are still too young to be a solid investment.

7.1 Distribution of scores

Category Overall score Startups Share
A 7 and above 1 1%
B 6 to 6.9 15 10%
C 5 to 5.9 31 21%
D below 5 104 69%

The field's weakest criterion is business model strength (3.6 out of 10 on average), far behind disruption (5.0) and market (4.8). Average risk is high (6.9 out of 10). In other words: many interesting ideas, few proven business models.

7.2 The 16 cases rated A or B

Startup Country Sector Score Disruption Model Market Risk Top 10
LainTech Spain Climate & energy 7.3 8 8 6 4 yes
Belli Singapore Software 6.8 5 8 7 4 yes
ProcurePro Australia Software 6.8 6 8 6 4 yes
Renasys Norway Climate & energy 6.5 6 7 6 4 no
Yo-Kai Express United States Food 6.5 7 7 6 5 yes
EVR Motors Israel Mobility 6.3 7 6 6 5 no
Legit.Health Spain Digital health 6.3 7 6 5 4 no
Monet Colombia FinTech 6.3 4 8 7 5 yes
Pulster.ai Guatemala Software 6.3 5 7 7 5 no
Btrust Chile FinTech 6.0 6 7 5 5 no
Custplace France Software 6.0 3 7 7 4 no
Jetbeep Ukraine Industry & logistics 6.0 5 7 6 5 no
Kauche Japan Commerce 6.0 4 7 7 5 yes
NEOCRETE New Zealand Materials 6.0 7 5 6 5 no
PolyJoule United States Climate & energy 6.0 7 5 7 6 no
TIBOK Mauritius Digital health 6.0 6 5 9 7 no

7.3 An analyst's grid is not the jury's choice

Only 6 of the 16 best-rated cases are in the Top 10. Conversely, four Top 10 startups get a C or D: ZymoChem (5.8), Enexor (4.8), BioSapien (4.5) and Crednce (3.5). Two reasons explain this.

  1. The jury values breakthrough more than immediate strength. ZymoChem, the 2026 champion, has the highest disruption score in the Top 10 (9 out of 10) but a low model score (4), for lack of a named commercial customer. A venture capital fund looks for exceptional returns, not only the safe case.
  2. The Top 10 reflects global representation. The 2026 Top 10 covers seven regions of the world, which suggests that geographic diversity counts in the selection. This is a reading of the results, not a published rule.

Several very strong cases remain outside the Top 10, such as Renasys, EVR Motors or Legit.Health. A case can therefore be excellent for an investor and still not be selected by the jury on the day: the pitch format, the diversity of the Top 10 and the judges' assessment also weigh in.

7.4 The addressable market

The field's median global addressable market is $5.4bn, and average scalability is 5.9 out of 10. The competition's official guide states that a market of at least $1bn is needed to interest a venture capital fund: most finalists clear this threshold, but few show that they can sell outside their own country.

8The 2026 Top 10

The Top 10 stands out neither for its product nor for its use of AI, but for its market evidence and the capital already raised.

8.1 The ten finalists

Startup Country Business Founded Funding Product and traction
ZymoChem (champion) United States Bio-based materials through fermentation 2013 Series A, $25M Pilot; production of an ingredient at commercial scale
Belli Singapore Air cargo management software 2024 Seed, $2.8M On the market; strong traction
BioSapien United Arab Emirates Implant for local delivery of cancer drugs 2018 Seed, $8.3M Pilot
Crednce Ghana Secure milestone-based payments 2025 Pre-seed, no funding Pilot
Enexor Energy United States Conversion of waste into electricity and heat 2014 Series A, $10M Pilot
Kauche Japan Social commerce and group buying 2020 Series B and later, $9.3M On the market; strong traction
LainTech Spain Hydrometallurgical metal extraction 2019 Self-funded On the market; strong traction
Monet Colombia Online credit and salary advances 2020 Series A, $7M On the market; strong traction
ProcurePro Australia Procurement software for construction 2020 Series B and later, $15.4M On the market; strong traction
Yo-Kai Express United States Automated restaurants 2016 Series A, $19M On the market; strong traction

Two families emerge. Six usage startups (Belli, Kauche, LainTech, Monet, ProcurePro, Yo-Kai Express) already sell at scale. Four breakthrough startups (ZymoChem, BioSapien, Enexor, Crednce) are still at pilot stage; three of them make up for it with deep technology and significant funding. The champion comes from the second family.

8.2 Comparison with the other 141

FigureThe Top 10 stands out on proof, not on AI
Top 10The other 141Gap0%25%50%75%100%Series A or later604+56 ptsRaised at least $5M707+63 ptsStrong commercial traction6014+46 ptsPaying customers6050+10 ptsProduct on the market6058+2 ptsAI at the core of the product031−31 pts

Share of startups (%), Top 10 versus the other 141 finalists of the 2026 Grand Finale.

Having a product on the market and first customers is not enough: that is true of more than half the field. The difference lies in the next step: strong traction and a Series A. The same gaps appear in amounts and scores.

Indicator Top 10 The other 141
Funds raised (median of known amounts) $9.6M $1.2M
Median age 6.5 years 3.5 years
Median addressable market $13bn $5.4bn
Average overall score 5.8 4.3
Business model strength (average) 6.0 3.5
Disruption (average) 6.1 4.9
Risk (average, 10 = very risky) 5.6 7.0

The widest gap is in business model strength: 2.5 points. That is the mark of a jury of investors.

8.3 The exceptions

The Startup World Cup trophy on a stand under blue lights
The Startup World Cup trophy, before the $1M prize is awarded.

9The champions from 2017 to 2026

Since 2022, every champion has been a deep technology company that had already raised tens of millions of dollars and proven its product at scale. The $1M prize does not reward a promise: it adds to a case already validated by other investors.

9.1 The winners' list

Year Champion Country Business Founded Position at the time of victory 2nd and 3rd
2026 ZymoChem United States Bio-based superabsorbent polymers 2013 $21M Series A; commercial-scale production of a key ingredient Not published
2025 Coreshell United States Silicon anodes for batteries 2017 $24M raised in March 2025; 4 MWh pilot line Intuition Robotics (Israel), BuuPass (Kenya)
2024 EarthGrid United States Plasma drilling robot for underground networks 2016 (to be confirmed) Seed round of about $30M; field trials Alterno (Vietnam), ivWatch (United States)
2023 Aillis Japan AI flu diagnosis from throat images 2017 About $50M raised; device approved and reimbursed in Japan VOINOSIS (South Korea), SaveFruit (Mexico)
2022 SRTX (Sheertex) Canada Ultra-durable textiles 2017 More than $100M raised; consumer brand with revenue Not published
2019 Abivin Vietnam AI logistics optimization 2015 About $450K raised; large customers in Vietnam Not found
2018 Leuko United States Non-invasive blood analysis 2017 Pre-seed, no revenue; spun out of MIT Not found
2017 UniFa Japan Connected devices for daycare centers 2013 Products already sold to Japanese daycare centers Not found

There was no Grand Finale in 2020 and 2021. ZymoChem's 2026 victory was reported by participants present at the final; as of 8 November 2026, the official press release and the ranking of the 2nd and 3rd places had not been published.

9.2 The financial bar has changed scale

FigureSince 2022, every champion had already raised at least $20M
n.d.2017UniFa≈ 02018Leuko0.452019Abivin> 1002022SRTX≈ 502023Aillis≈ 302024EarthGrid≥ 242025Coreshell≈ 252026ZymoChem

Funds raised before winning, in $M, orders of magnitude; n.d. = not disclosed. No Grand Finale in 2020 and 2021.

Between 2017 and 2019, a seed-stage startup could win: Leuko had no revenue, and Abivin had raised less than half a million dollars. Since 2022, every champion had raised at least $20M. The competition has grown, and the level of the cases with it.

9.3 Trends

9.4 After the victory

The title mostly accelerates companies that are already up and running. UniFa raised about $10M in the wake of its victory, then more than ¥9bn in total. Leuko followed with a $1.8M seed round, a $5M Series A and a $4.5M grant from the US National Institutes of Health. Abivin raised more than $1.7M after its victory, with no Series A identified. Winning opens doors; it does not replace growth.

10What makes a champion: the seven levers

The findings of sections 7 to 9 point to seven levers. They are ranked by their weight in the data: the first four are built months before the competition; the last three are worked on in the application and on stage.

Lever 1: prove it with customers, not technology

Evidence. This is the clearest gap: business model strength scores 6.0 out of 10 in the Top 10, against 3.5 for the others; 60% of the Top 10 has strong traction, against 14%. LainTech, with no funding round but €22M in cumulative revenue, earns the highest score in the Top 10.

In practice. Named paying customers, recurring revenue, measured retention and a monthly growth curve to show. For a deep tech startup, the equivalent is an industrial contract, pilot production or a regulatory approval.

Lever 2: arrive with an investor signal

Evidence. 60% of the Top 10 has reached Series A, against 4% of the others; the median amount raised is $9.6M against $1.2M. Since 2022, every champion had raised at least $20M before winning.

In practice. The judges are investors: a round led by a well-known fund tells them the company has already passed due diligence. Failing that, substantial revenue plays the same role. Public grants and accelerator programs also count as external validation.

Lever 3: build up evidence over time

Evidence. The median age of the Top 10 is 6.5 years, against 3.5 years; seven of eight champions were at least four years old when they won; only Leuko won one year after its founding.

In practice. Age is not a criterion in itself: it measures the time spent turning a pilot into contracts. A young startup makes up for it with fast, visible traction (Belli, founded in 2024). Taking part early is still useful for the network, as long as the startup does not aim for the title too late in its preparation.

Lever 4: target a clear global market

Evidence. The median addressable market of the Top 10 is $13bn, against $5.4bn. The official guide sets a minimum of $1bn to interest a fund.

In practice. The jury must understand in one sentence why the company could be worth a billion: a quantified global market, calculated in two ways, and proof that it already sells outside its home country.

Lever 5: reduce perceived risk

Evidence. Risk scores 5.6 in the Top 10, against 7.0 for the others.

In practice. A complete team, regulation under control (certifications, approvals), at least 18 months of cash runway, industrial or distribution partners. Every foreseeable objection needs a quantified answer.

Lever 6: present AI as a means, never as the pitch

Evidence. No startup in the Top 10 has AI at the core of its product, against 31% of the others.

In practice. Talk about the problem solved and the measured result: time saved, cost avoided, revenue generated. Say in one sentence what AI makes possible, and what stops a competitor from doing the same thing with the same models.

Lever 7: be the best application from your region of the world

Evidence. The 2026 Top 10 spans seven regions: North America (3), Asia (2), Europe, the Middle East, Africa, Latin America and Oceania (1 each). Crednce (Ghana), at the pre-seed stage, is among them. This is a reading of the results, not a published rule.

In practice. For a startup outside the United States, the direct competition for a Top 10 spot is first with the other applications from its region. It is better to be clearly the best application from your continent than one of forty American applications.

Summary

Lever Indicator to track Threshold observed in the Top 10
1. Proof through customers Recurring revenue, paying customers, retention Strong traction for 60%
2. Investor signal Amount raised, quality of investors Median of $9.6M; Series A for 60%
3. Evidence over time Months of continuous growth Median age of 6.5 years
4. Global market Quantified TAM, countries where the startup sells Median TAM of $13bn
5. Reduced risk Team, regulation, cash runway Risk scored 5.6 out of 10
6. AI as a means Measured result for the customer 0% with AI at the core
7. Best in its region Rank among applications from its continent Seven regions in the Top 10

11Does usage create value?

Yes for software, no for breakthrough technology: two paths lead to the title, and each requires different evidence.

FigureTwo roads lead to the title: funded breakthrough or proven usage
Funded breakthroughHard-to-copy technology, $20M or moreZymoChem (2026), Coreshell (2025)EarthGrid (2024), Leuko (2018)Top 10 2026: BioSapien, EnexorBreakthrough and usageThe strongest profile among championsAillis (2023), SRTX (2022)Top 10 2026: LainTechNeither breakthrough nor proven usageMost of the field: 104 profiles graded DTop 10 2026: CrednceProven usageMany paying customers, recurring revenueAbivin (2019), UniFa (2017)Top 10 2026: Belli, Kauche, Monet,ProcurePro, Yo-Kai ExpressProof of usage: weak → strongTechnological breakthrough: weak → strong

Champions (year) and 2026 Top 10 finalists, placed by zone, not by exact position.

11.1 The funded breakthrough path

Recent champions won without large-scale commercial usage. ZymoChem had no named commercial customer; EarthGrid was at the field-trial stage; Leuko had no revenue. Their value came from elsewhere:

In that case the jury buys a breakthrough, not usage. This path is capital-intensive: without substantial funding, breakthrough technology remains a lab project in an investor's eyes.

11.2 The proven usage path

For software, a platform or a service, usage is the only evidence that counts. Copying software is cheap; what cannot be copied is thousands of returning users, accumulated data and renewed contracts. The six usage-driven startups in the 2026 Top 10 all have strong traction, and most have already raised a Series A on the strength of it.

Usage creates value only if it meets three conditions:

  1. it is paid for: customers who pay, not free users;
  2. it comes back: retention measured over several months;
  3. it grows: continuous monthly growth, visible on a curve.

11.3 The summit: breakthrough and usage

The strongest applications combine both: Aillis had both an approved AI medical device and reimbursement; SRTX, a new material and a consumer brand; LainTech, a novel industrial process and €22M in revenue. This is the profile the jury favors most readily.

11.4 Which indicators to track

Path Indicators to show the jury
Funded breakthrough Amount raised and quality of the funds; patents; trial results; pilot production; letters of intent from industrial companies; regulatory approvals
Proven usage Monthly recurring revenue and its growth; number of paying customers; 90-day retention; customer acquisition cost and customer lifetime value; share of revenue from outside the home country
Breakthrough and usage Both columns, with a measured result at customers (cost avoided, time saved, emissions reduced)

12Strategies by startup profile

There is no single strategy: a software startup, a materials startup and a health startup do not bring the same evidence. This section applies the levers to six profiles common in the field.

12.1 B2B software and platforms

12.2 Deep tech, materials and energy

12.3 Health and regulated sectors

12.4 Startups from small or emerging economies

12.5 Very young startups (under two years old)

12.6 Already funded startups (Series A and later)

13The application and the pitch

The pitch does not create the evidence; it must make it visible in 240 seconds. The organizer publishes an official guide with a timing for each slide, and the judges score five criteria: business model, market opportunity, differentiation, growth potential and ability to execute.

13.1 The application

13.2 The official timing

Slide Duration What the jury must remember
Opening 10 s What you do better than anyone, in one sentence.
Problem 30 s The problem, with a figure or a real case.
Solution 45 s The product, shown in an image or a demo.
Traction 30 s Paying customers, revenue, retention, growth. This is the slide that decides.
Business model 30 s Who pays, how much, at what margins.
Market 15 s At least $1bn of opportunity, calculated top-down and bottom-up.
Financials 15 s Projections over 3 to 5 years, backed by data.
Team 30 s Why this team: experience, results, patents.
Competition 15 s Existing alternatives and your advantage; according to the guide, claiming "no competitors" is a red flag.
Funding 10 s Amount raised, needs, use of funds.
Conclusion 10 s The key message.

Source: official pitch guide. In the semifinal, with more than 200 startups, speaking time can be cut to one minute: you need a short version that keeps the opening, the traction and the market.

13.3 The two minutes of questions

In two minutes, the judges only have time for a few questions. The topics below follow from the official criteria and the pitch guide; a 15-second answer should be ready for each.

  1. Who are your competitors, and why will you win?
  2. How much does it cost to acquire a customer, and how much does a customer bring in over its lifetime?
  3. What is your retention or renewal rate?
  4. What is your current revenue and its monthly growth?
  5. What is the regulatory risk, and where do your approvals stand?
  6. Why your team, and who is missing?
  7. How will you expand outside your country?
  8. How much are you raising, at what valuation, and for what?
  9. What stops a large corporation from doing the same thing?
  10. What will you do with the million-dollar prize?

13.4 On stage

14The 12-month plan

A startup needs about a year to gather a finalist's evidence. The order matters: without proven usage, fundraising is hard; without funding, expansion is slow; without expansion, the pitch has nothing global to show.

FigureOne year to reach the final with a champion’s proof
1Prove usageMonths 1 to 3Track active customers, revenue and retention every month.Sign three reference customers ready to vouch for you.Gate: Monthly recurring revenue published2Create the signalMonths 3 to 6Close a seed round with a recognized fund, ideally foreign.Prepare a data room: contracts, figures, team, ownership.Gate: Round closed and announced3Go beyond your countryMonths 6 to 9Open a second country with active customers, not just an agreement.Obtain the certifications and validation that remove risk.Gate: Revenue in at least two countries4Win the stageMonths 9 to 12Win your Startup World Cup regional final.Rehearse the 4-minute pitch, with tough questions.Gate: Qualification for the Grand Finale

Template plan; each gate must be passed before the next phase.

For a deep tech startup, phase 1 becomes "prove the technology": independent trials, industrial pilot, patents. For a startup from a small economy, phase 2 is the hardest: it has to raise from foreign investors. The Startup World Cup itself helps here: each regional final and the San Francisco week are opportunities to meet funds that invest outside their own country.

Checklist before the regional final

15Mistakes to avoid

The costliest mistakes are not made on stage but while preparing the application.

Mistake Why it is costly What to do instead
Pitching the technology instead of the results The jury evaluates an investment, not a feat Open with the problem, prove it with customers
Putting AI forward as the main argument No startup in the 2026 Top 10 does this; an AI feature can be copied Show the measured result and what cannot be copied
Counting free pilots as traction 48% of the field is at this stage; it is not a distinctive signal Convert pilots into paying contracts
Claiming "no competitors" The official guide calls it a red flag Present the alternatives and the defensible advantage
Presenting a national market A fund invests in a global market of at least $1bn Quantify the global market and show sales outside the country
Giving unverifiable figures The committee reads the application as a pre-investment analysis Cite audited or sourced figures
Aiming for the title too early Recent champions were 4 to 13 years old Take part for the network, come back with evidence
Ignoring the funding question The prize is an investment, not a grant State how much you are raising and what the million would accelerate
Having only a long version of the pitch Speaking time can be cut in the semifinal Prepare a one-minute version
Arguing with a judge The jury also watches the ability to execute and to listen Acknowledge the risk, give the measure that reduces it

16Proposals: from competition to network

The Startup World Cup has grown faster than its format: the number of regional champions has nearly quadrupled in three years, yet there is still only one Top 10 and a single title. This section proposes three changes to turn a one-week competition into a lasting network between startups and investors. They are ideas for discussion drawn from the study, not recommendations from the organizer; their purpose is to start a movement.

16.1 The situation

16.2 Awards by group

The idea is to keep the single global title while also rewarding the best application in each group of comparable startups. A materials startup and a software startup are not judged on the same evidence (section 12); coherent groups make specialist juries and fairer comparison possible.

Proposed group Sectors included 2026 finalists Suggested jury
Health and life sciences Medical devices, digital health, biotechnology 36 Health and biotech funds
AI and software Applied AI, enterprise software 40 Software and SaaS funds
Climate, energy and materials Energy, climate, advanced materials 21 Climate and deep tech funds
Hardware and industry Robotics, space, mobility, industry and logistics 19 Industrial and corporate funds
Digital services FinTech, education, commerce, cybersecurity 22 FinTech and consumer funds
Agriculture and food AgriTech, food 13 Agrifood funds

The six groups cover all 151 finalists of 2026. Two cross-cutting awards could be added: the best application from each continent, which would make explicit the global representation observed in the Top 10, and the best seed-stage application, which would encourage young startups without putting them in direct competition with companies funded to the tune of tens of millions.

The winner of each group could receive stage visibility and priority meetings with the group's funds. The organizer already states that a fund linked to the competition may invest in one to five finalists per edition in addition to the champion: awards by group would give these choices a clear framework.

16.3 An interactive platform before the final

FigureFrom competition to network: before, during and after the Grand Finale
Before the final2 to 3 months beforeStandardized profilesFunds filter by thesisMeeting requestsDuring the weekSan FranciscoGroup awards and world titleSpecialist judges per groupScheduled meetingsAfter the final12 months and beyondAlumni network by cohortQuarterly indicatorsTracking of rounds and partnershipsFoundation: an atlas of finalists, with consented and verified data

Proposal from the study; the three stages rest on one shared data foundation.

The idea is to open, two to three months before the Grand Finale, a platform where each regional champion publishes a standardized profile, modeled on the atlas entries:

Registered investors filter profiles according to their thesis (sector, stage, region, ticket size) and request meetings, scheduled during the San Francisco week. Startups thus arrive with an agenda of targeted meetings rather than hoping for a chance encounter in the corridor. The judges also get a complete view of the applications before the semifinals.

16.4 A network after the final

The final should not be an end point. With about 200 regional champions a year, the competition could build, within five years, a network of nearly 1,000 qualified startups across six continents, making it one of the largest pools of selected startups in the world.

16.5 Measuring success

Indicator What it measures
Meetings scheduled per startup before the final The quality of matchmaking
Share of finalists that raised funds within 12 months The effect on funding
Amount raised from investors met through the platform The direct effect of the platform
Industrial or commercial partnerships signed The effect beyond funding
Share of alumni active in the network after one year The vitality of the network

16.6 A phased rollout

  1. Pilot with the 2026 cohort: invite the 151 finalists to complete and validate their atlas entry, then share it with the investors attending the final.
  2. Platform before the 2027 final: standardized profiles and meeting booking for the 2027 regional champions.
  3. Awards by group at the 2027 final: six groups, specialist juries, global title unchanged.
  4. Alumni network from 2028: directory, quarterly indicators and first annual report.

16.7 Caveats

These proposals inherit the limitations of the study (section 17) and add others.

The aim is not to impose a model, but to open the discussion with the organizer, investors and past finalists.

17Limitations of the study

The conclusions describe what has won; they do not guarantee what will win.

18Conclusion

The Startup World Cup is an investors' competition, and it is won the way you convince an investor: with evidence. Out of about 32,000 applicants, those who reach the Top 10 are not the ones with the best idea or the most fashionable technology, but the ones who can show that customers pay, that funds have already invested and that the market is global.

Two paths lead to the title. The first, taken by the recent champions, is funded technological breakthrough: technology that is hard to copy, validated by tens of millions of dollars. The second is proven usage at scale, the path of the software and service companies in the Top 10. The summit combines both.

For a founder, the lesson is practical: choose your path, spend twelve months building the evidence that matches it, and only then prepare the pitch. For a startup from a small economy, there is an additional lesson: seek capital and customers beyond your borders, and aim to be the best application from your region of the world. The San Francisco stage only reveals work done beforehand.

Finally, the competition itself can go further. Every year it brings together hundreds of selected startups and leading investors, but most of these encounters end with the final. Awards by group, a matchmaking platform before the event and an alumni network would give this pool lasting value. This study, with its limitations, and the atlas that accompanies it are a first step: their ambition is to open the discussion and start a movement.

The week in pictures

Two films shot during the Grand Finale week in San Francisco, 4 to 6 November 2026.

The Grand Finale Semi-finals, main stage and audience of the 2026 Startup World Cup, seen by a finalist. 55 s.
San Francisco notebook The city around the competition. 58 s.
Cable car on a steep San Francisco street
Powell Street.
Waterfront Ferris wheel under a cloudy sky
Fisherman’s Wharf.
Saints Peter and Paul Church in North Beach
North Beach.
Construction crane on a bay pier
The bay, north side.

Films and photos: TIBOK, 2026 finalist.

Appendix A. Regional finals that publish their number of applications

Year Regional final Applications Finalists Use in the study
2026 United States, Las Vegas (CES) 500 15 Median
2026 Vietnam 500 10 Excluded: national competition
2026 Japan, Tokyo 250 10 Median
2026 Japan, Kyushu 250 10 Excluded: figure shared with Tokyo
2026 Venezuela 200 10 Median
2026 Eswatini 161 10 Median
2026 Azerbaijan 160 10 Median
2026 Tunisia 160 not published Median
2026 Kazakhstan 140 10 Median
2026 Japan, Nagoya 120 10 Median
2026 United States, New York 116 12 Median
2026 India, Greater Noida 100 25 Median
2026 India, Pune 50 not published Excluded: registrations, not applications
2025 Bangladesh 4,500 15 Excluded: student registrations
2025 Japan, Tohoku 220 10 Median
2025 Malaysia 200 not published Median
2025 Kenya 160 10 Median
2025 Portugal 120 15 Median
2025 Cyprus 83 9 Median
2025 Azerbaijan 80 8 Median
2024 Japan, Tokyo 240 11 Median
2024 Japan, Kyoto 126 12 Median
2023 Japan, Tokyo 300 10 Median
2023 Japan, Kyoto 135 12 Median

The sources for each row and the 26 other documented regional finals (known finalists, applications not published) are in the atlas, in the "Scale of the regional finals" section.

Appendix B. Glossary

Term Definition
Pre-seed, seed First funding rounds, often from angels and specialist funds, before the business model is proven
Series A, Series B Funding rounds led by venture capital funds once the model is proven, to accelerate growth
Traction Evidence of market adoption: paying customers, revenue, growth, retention
TAM Total addressable market: the annual global revenue of the target segment if the startup captured all of it
Scalability Ability to grow and expand to other countries without a proportional rise in costs
Retention Share of customers who keep using or paying for the service after a given period
Deep tech Innovation stemming from scientific research or advanced engineering: materials, energy, biotechnology, devices
LLM Large language model, used by generative AI applications
Convertible note A loan that converts into equity at a later funding round
Non-dilutive funding Grants, prizes and public programs that do not take a stake in the company

Sources

Study data

Organizer

Winner press releases

Economic data