Funded Startups in Georgetown
Among the 8 most recent funded entries listed for Georgetown, Kentucky, Delaware, Ontario (Canada), Connecticut, and Texas, the largest disclosed round is…
Among the 8 most recent funded entries listed for Georgetown, Kentucky, Delaware, Ontario (Canada), Connecticut, and Texas, the largest disclosed round is Variational’s $50M Series A on 2026-05-20. That single $50M disclosure dwarfs the next-largest disclosed amounts ($12M Dotwork on 2023-11-02 and $6M Jack Nathan Health on 2023-06-15), while the rest sit at $4M (Healthcare Triangle on 2026-06-12), $100K (Archie on 2025-06-05), and $150K (Thesis Machine Learning on 2026-04-03). Smaller disclosed rounds cluster tightly around the 2026-04 to 2026-06 window: 2026-06-12 (Healthcare Triangle), 2026-06-01 (Verora AI, undisclosed), and 2026-05-20 (Variational) plus 2026-04-03 (Thesis Machine Learning). Sector coverage is concentrated in AI and adjacent categories (Artificial Intelligence for Verora AI 2026-06-01 and Thesis Machine Learning 2026-04-03), but the list is also split geographically by country and state even though the city name is the same. Disclosed amounts show a broad spread from $150K up to $50M, and 2 of 8 rows are undisclosed (Verora AI 2026-06-01; Learnify 2022-04-13).
Most recent rounds
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Frequently asked
What’s the largest disclosed round in this Georgetown list, and how does it compare to the rest?
Variational’s $50M disclosed Series A (2026-05-20) is the clear outlier; the next-largest disclosed amounts are $12M (Dotwork, 2023-11-02) and $6M (Jack Nathan Health, 2023-06-15), with several other disclosed rounds at or below $4M (Healthcare Triangle, 2026-06-12).
How much of the activity falls into the most recent date cluster shown?
Four of the eight entries are dated in 2026 (Healthcare Triangle 2026-06-12, Verora AI 2026-06-01, Variational 2026-05-20, Thesis Machine Learning 2026-04-03). Those three disclosed amounts ($4M, $50M, and $150K) sit alongside one undisclosed round in the same quarter (Verora AI on 2026-06-01).
Does the list over-represent any particular sector or stage?
Artificial Intelligence appears twice among the 8 rows: Verora AI (Pre-Seed, 2026-06-01, undisclosed) and Thesis Machine Learning (Seed, 2026-04-03, $150K). Stage labels are more scattered, but two entries are explicitly Pre-Seed (Verora AI 2026-06-01 and Learnify 2022-04-13), and two are explicitly Series A (Variational $50M on 2026-05-20 and Dotwork $12M on 2023-11-02).
Are there multiple Georgetowns across different regions, and does that create a geographic pattern?
The same city name maps to different jurisdictions in the 8 rows: Georgetown, Texas hosts Verora AI (2026-06-01, undisclosed) and Thesis Machine Learning (2026-04-03, $150K) plus Dotwork (2023-11-02, $12M), while other entries are spread across Georgetown, Kentucky (Variational, $50M), Georgetown, Delaware (Archie, $100K), Georgetown, Connecticut (Healthcare Triangle, $4M), and Georgetown, Ontario (Jack Nathan Health and Learnify).
Which entries are most distinct based on disclosed amount magnitude or disclosure status?
On disclosed amounts, Variational’s $50M (2026-05-20) stands well above all other disclosed rounds, whereas the smallest disclosed amount is Thesis Machine Learning’s $150K (2026-04-03). Separately, two rows have undisclosed funding amounts—Verora AI (2026-06-01) and Learnify (2022-04-13)—which means the low/high disclosed comparisons only apply to the remaining disclosed entries.
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