Of these 19 AW#32 startups, which will AppWorks back?
AppWorks' accelerator is equity-free; the checks come from AppWorks Funds. This page runs real-data due diligence on all 19 AW#32 Demo Day startups and scores each one's likelihood of a Funds follow-on investment.
How we judge "would AppWorks invest"
The key premises first, then the scoring method.
Accelerator ≠ investment
AW#32 is the 32nd batch of AppWorks' equity-free Accelerator. Joining it does not mean AppWorks invested money. The checks come from the separate AppWorks Funds (Fund I–IV).
Funds back only a few
AppWorks Funds follow-on into only a small minority of each batch. The question this page answers: of these 19, who is most likely to make that shortlist.
Real data only
Each company is researched by an independent agent against its website, LinkedIn, and public coverage. Demo Day figures are treated as claims; when nothing public is found, we say so — no fabricated numbers.
7-dimension scoring
Team, market, moat, traction, thesis fit, GSEA fit, stage fit — each 0–10, combined into a 0–100 follow-on-likelihood score and a conviction level.
⚠️ Independent, unofficial research. Every "would they invest" call is the author's inference — not AppWorks' position, not a prediction guarantee, and not investment advice. Data as of June 2026.
AppWorks Funds' current playbook
Real-data reconstruction of fund size, focus, and how they pick which alumni to back.
account_balanceFund overview
AppWorks Funds is the equity-investing venture arm of AppWorks (HQ Taipei, founded 2009 by Jamie Lin / 林之晨). It has raised four flagship funds totaling ~US$386M AUM as of the Fund IV final close announced Jan 2026: Fund I ~US$11M (2012 vintage), Fund II ~US$50M (2014; reported at ~1.9x DPI, top-quartile globally), Fund III ~US$150M (closed 2021), and Fund IV ~US$165M (raise launched late 2022, final close Jan 2026; original target was ~US$360M but was right-sized amid the post-2022 rate-tightening venture correction). Fund IV's LPs notably include three sovereign investors — Taiwan's National Development Fund, Malaysia's Jelawang Capital (Khazanah Nasional's fund-of-funds), and Korea Venture Investment Corporation (KVIC) — plus corporates Fubon Life, Taiwan Mobile, Wistron, Phison and E Ink. The Funds invest from seed through growth across Greater Southeast Asia (Taiwan + ASEAN). Per AppWorks' own investments page, the mandate spans ~US$200K to US$15M per deal across Series Seed to Series C, targeting 10-20% dilution per round; for Fund III the typical pattern was ~40 portfolio companies split between seed checks of ~US$50K-200K and Series A-C checks starting at ~US$2M. AppWorks has made ~123 investments over 16 years, averaging ~6 new deals/year over the last decade (10 in 2025).
routeFollow-on logic
AppWorks runs two distinct things: an equity-free, no-fee biannual accelerator (AW#1 onward; e.g., AW#32 industry partner Wistron) that takes zero equity/tokens/fees, and the separate AppWorks Funds that make equity investments. The accelerator functions as a 'proprietary deal-flow pipeline' for the Funds — joining a batch is NOT itself an investment. The Funds selectively write follow-on checks into only a minority of alumni: those showing real product-market fit, traction, scalability across GSEA, and a need to raise to accelerate growth. AppWorks does not publish a single official conversion percentage, but the math implies a small fraction: ~123 total fund investments over 16 years (and only ~6-10 new deals/year recently) against an ecosystem of 650+ active accelerator startups and hundreds added each year — i.e., roughly on the order of ~5-15% of alumni ever receive a direct fund check (often well under that per individual batch). Fund III, for example, targeted only ~40 portfolio companies total across its life. Funded alumni examples include WeMo Scooter, Omnichat, Pickone, XREX, Blocto and Docosan.
boltThesis pillars
trending_upRecent deals
- Nitra — AI-native finance/operations platform for medical practices (AI / HealthTech, US), Series B, 2026
- Sanctum — liquid staking protocol on Solana (Web3 / DeFi infrastructure), Series A, 2025-2026
- JTCG / Raccoon AI — AI customer-experience / post-purchase support agent (AI SaaS, Taiwan), Pre-A, 2025
- Tally — DAO / on-chain governance platform (Web3 governance, US), led Series A, 2025
- Rekosistem — waste-management and recycling automation (ClimaTech, Indonesia), Series A, 2025
- Bythen — AI avatar creation platform (AI / Gaming, Indonesia), Pre-seed, 2025
- AMODA — modular construction technology (ConstructTech, Indonesia), Pre-Series A, 2025
- AI Hay — AI knowledge-discovery platform (AI, Vietnam), Series Pre-A, 2024
- SignalPlus — crypto derivatives / options infrastructure (Web3 trading), led Series B, 2024
- Botsync — logistics and manufacturing automation robotics (RoboTech, Singapore), Series A, 2024
- TechCoop — agricultural export supply-chain platform (AgriTech / B2B, Vietnam), Series A, 2024
- TransTRACK — fleet management / logistics SaaS (B2B SaaS, Indonesia), Series A, 2024
- DotDot — F&B payments solution (FinTech / SaaS, Taiwan), Series A, 2024
- Stanly — creator/fan engagement platform (Creator economy, Philippines), Series Pre-A, 2024
- GRVT — hybrid (on-chain/off-chain) derivatives exchange (Web3 / DeFi), 2023
Investment Radar: 19 ranked
Sorted by overall Funds-follow-on likelihood. Click any row for the full dossier.
Charts dashboard
The real due-diligence data on all 19 startups, visualized 13 ways. Every chart re-renders on theme and language change.
All 19 ranked by follow-on likelihood; color = conviction.
How the 19 split across six categories.
Count by high / medium / low.
Count by strong / medium / weak.
Which category is most fundable overall.
The batch's collective strengths and weaknesses.
The average capability radar of all 19.
The five highest-scoring startups, dimension by dimension.
Bubble size = score, color = category.
The two "realness" axes — moat vs traction.
Team strength vs market attractiveness.
Companies by founder-credibility tier.
19 startups × 7 dimensions; darker = higher.
| Company | Team | Market | Moat | Traction | Thesis fit | GSEA fit | Stage fit | Score |
|---|---|---|---|---|---|---|---|---|
| Innowave Tech | 8 | 8 | 6 | 6 | 7 | 6 | 5 | 62 |
| SixSense | 8 | 6 | 5 | 8 | 7 | 8 | 3 | 62 |
| Novo AI | 7 | 8 | 4 | 5 | 8 | 6 | 7 | 58 |
| CLIKA | 8 | 8 | 5 | 7 | 8 | 4 | 4 | 58 |
| Shieldbase | 6 | 8 | 4 | 4 | 8 | 9 | 7 | 58 |
| GreenBidz | 7 | 7 | 4 | 6 | 5 | 8 | 6 | 54 |
| Pathors | 6 | 8 | 4 | 4 | 8 | 6 | 7 | 52 |
| Notifly | 8 | 7 | 3 | 4 | 6 | 3 | 7 | 42 |
| Hyarks | 8 | 6 | 4 | 3 | 4 | 7 | 4 | 42 |
| Rosary Labs | 6 | 6 | 3 | 3 | 7 | 8 | 5 | 42 |
| Decisions Lab | 6 | 7 | 3 | 3 | 6 | 3 | 7 | 38 |
| Arrivl | 5 | 7 | 3 | 2 | 6 | 4 | 6 | 34 |
| CloudStation | 4 | 7 | 2 | 2 | 6 | 2 | 5 | 34 |
| NOTAG KOREA | 6 | 7 | 3 | 5 | 3 | 6 | 5 | 34 |
| LIPS | 6 | 7 | 5 | 6 | 4 | 6 | 2 | 34 |
| Phasetrum | 7 | 8 | 6 | 4 | 3 | 3 | 3 | 34 |
| OmniEase AI | 6 | 7 | 3 | 2 | 4 | 3 | 5 | 31 |
| Ruomei 若湄 | 2 | 8 | 3 | 1 | 5 | 6 | 3 | 31 |
| Krush | 5 | 4 | 3 | 3 | 2 | 2 | 4 | 24 |
Per-company DD dossiers
Grouped by category. Each card opens a full DD report — team check, traction, moat, risks, 7-dimension scores, sources.
Synthesis
All 19 together: who is most fundable, why, and what this batch signals.
emoji_eventsMost likely to get an AppWorks Funds check
- SixSense (62) — Best in cohort: verified ~US$12M raised, led by Peak XV/Surge, customers incl. GlobalFoundries and JCET, WEF 2026 Technology Pioneer. Hits AI + GSEA + B2B dead-on with concrete Taiwan traction that maps to Wistron's world. If AppWorks writes one flagship check this batch, this is it.
- Innowave Tech (62) — A 25-year GlobalFoundries quality veteran building agentic fab ops; ~US$4M raised (Enterprise Singapore Slingshot et al.), Singapore-based = GSEA-native. Strong thesis fit, but more likely a small/strategic check or pass-and-track than a lead.
- CLIKA (58) — On-thesis AI infrastructure (edge model quantization), a Mobileye-pedigree technical co-founder, Accenture strategic investment + IQT national-security access + Golden Gate for SEA. Hot timing window.
- Shieldbase (58) — Picture-perfect thesis-and-geography fit: sovereignty/on-prem enterprise AI for SEA enterprises and governments, a GSEA-native team, institutional backers (Tenity, GenAI Fund) — a wedge global incumbents ignore.
- Novo AI (58) — An ex-Google ML founder doing agentic AI for insurance claims, a First Round Capital seed, a clean B2B-AI-SaaS shape matching AppWorks' core thesis and stage (seed→A).
donut_smallConviction distribution
insightsInvestability clusters in Taiwan/Singapore 'semiconductor × manufacturing' deep tech
The strongest moats and realest traction sit in the manufacturing/fab lane (SixSense, Innowave, LIPS, CLIKA) — directly mapping to AW#32's industry partner Wistron and AppWorks' 'Taiwan = physical-AI testbed' thesis. If any check is written, it most likely comes from here.
insightsHorizontal AI SaaS is this batch's weak zone
OmniEase, CloudStation, Arrivl — crowded, no public traction, weak moats, and in places a pitch-vs-reality integrity gap. On a follow-on basis, AppWorks would most likely pass.
insightsElite pedigree ≠ investability
Phasetrum, LIPS and Hyarks all have world-class technical founders (an NYCU RF professor, a BMW design-win, a repeat USV founder) yet score modestly — zero public traction, capital-intensive, long-cycle markets with weak stage fit for a software-leaning regional fund.
insightsGSEA-nativeness is a real differentiator
Shieldbase, GreenBidz, Rosary and Innowave score on regional-native angles; Korea/US-centric plays (Notifly, Krush, NOTAG) lose GSEA points. The DD also caught claims that don't hold up — OmniEase's mispositioning, CloudStation's inflated pedigree, Ruomei's complete lack of evidence, and NOTAG being a low-margin distributor dressed as 'AI SaaS'.
flagBottom line
AW#32 has no slam-dunk — on a Funds-follow-on basis, nobody clears the bar for a high-conviction lead. But a tight cluster comes closest: semiconductor/manufacturing deep tech led by SixSense (the most flagship-like), then Innowave, CLIKA and LIPS, plus two GSEA-native enterprise-AI plays (Shieldbase, Novo). The rest are 'small strategic check or pass-and-track,' while horizontal AI SaaS and traction-less hardware would most likely be passed. In one line: AppWorks Funds most plausibly writes a single flagship check from this batch (SixSense) and keeps watching the rest.