Company lists · Data refreshed September 2026
Top 18 Machine learning drug development companies based in South Korea
RevenueBase identified 32 machine learning drug development companies headquartered in South Korea as of September 2026 and tracks 448 professional contacts across them, including 61 with verified work emails. Seoul is the largest hub.
This list covers machine learning drug development companies headquartered in South Korea, matched on what each company actually does as described in its own words. Ranked by team size, largest first. Every row shows the company's own description, its RevenueBase Smart Search rating, and when it was last checked. Data refreshed September 28, 2026.
Published by RevenueBase, a B2B data infrastructure company. This list was built with RevenueBase Smart Search, the natural-language company search RevenueBase customers use to build their own targeted lists and unlock verified emails and direct dials at the companies on them. How these lists are built and judged.
The 18 largest machine learning drug development companies based in South Korea
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 48 contacts → | ||||
Partial evidence “HITS is revolutionizing drug discovery by moving beyond simple predictive tools into the era of "Lab Automation." We are fundamentally shifting the Bio-R&D paradigm by empowering…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 2 | 31 contacts → | ||||
Partial evidence “Standigm is a workflow AI-driven drug discovery company.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 3 | 25 contacts → | ||||
Partial evidence “AI-First Pharmatech Company, a game-changer in AI-driven drug developing process.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 4 | 24 contacts → | ||||
Indirect evidence “Galux is building the future of protein therapeutics through AI-powered design.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 5 | 21 contacts → | ||||
Partial evidence “NetTargets provides the most efficient and promising way of drug discovery based on 20+ years of systems biology research.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 6 | 19 contacts → | ||||
Indirect evidence “AI-Driven Personalized Chemo Response Prediction” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 7 | 19 contacts → | ||||
Partial evidence “Drug discovery has leapt ahead, but delivery still lags a generation behind.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 8 | 18 contacts → | ||||
Partial evidence “Arontier Co, Ltd.(founded in 2017) is an AI-driven drug discovery company specializing in structure-based therapeutic design.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 9 | 17 contacts → | ||||
Partial evidence “We aim to advance current state-of-the-art AI drug discovery technologies and transform high-cost, low-efficiency drug discovery practices into rapid, efficient discovery…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 10 | 17 contacts → | ||||
Partial evidence “ABION is the Korean drug discovery company with the pioneering spirit.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 11 | 17 contacts → | ||||
Indirect evidence Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 12 | 16 contacts → | ||||
Partial evidence “Bionsight is a drug discovery company that integrates the power of chemoproteomics and AI technologies to facilitate target identification and off-target profiling within the drug…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 13 | 14 contacts → | ||||
Partial evidence “The Solutionist of Pharmaceutical industry Portrai leverages spatial transcriptomics to accelerate the drug discovery and biomarker discovery process.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 14 | 12 contacts → | ||||
Strong evidence “We are an AI biotech specializing in drug development based on transcriptomic database.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 15 | 10 contacts → | ||||
Indirect evidence “CellKey develops an LC/MS-derived analytic pipeline (SpAC9) that enables proprietary AI/ML-based glycoprotein analysis with enhanced accuracy and reduced time & cost.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 16 | 6 contacts → | ||||
Indirect evidence “JD Bioscience (JDB) possesses the core technology and experience to design small molecules for the treatment for a variety of diseases.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 17 | 3 contacts → | ||||
Partial evidence “AI drug discovery platform service” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 18 | 1 contacts → | ||||
Partial evidence “Quantum Bio Solutions' main mission is to discover a new drug that will contribute to human welfare through use of cutting-edge scientific methods.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
RevenueBase Smart Search
RevenueBase Smart Search assesses information from a company’s LinkedIn profile, information supplied directly by the company, its website, and other publicly available sources. It uses that information to rate how closely the company relates to this list’s category: machine learning drug development companies. Every row carries its rating and the description the rating was read from, so each one can be checked rather than taken on trust.
- Strong evidence
- The company's own public description of its business names machine learning drug development companies.
- Partial evidence
- Its own public description names part of machine learning drug development companies, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name machine learning drug development companies. The match rests on the rest of the company's public profile rather than the one sentence quoted here, so this is the rating to check first.
RevenueBase Smart Search is how these lists are built: RevenueBase's data engine and AI assemble the companies that match a category defined in a user's own words, so a list can be about what companies actually do rather than about whichever industry code they were filed under.
Showing 18 of 32 machine learning drug development companies based in South Korea
See the full list, filter by size, metro and specialty, and get verified emails and direct dials for all 61 reachable decision-makers.
Free signup · no credit card
Machine learning drug development companies based in South Korea at a glance
As of Sep 28, 2026Companies by employee count
Email recency for this list is measured worldwide rather than for South Korea, so it is reported there. Company counts and contact totals on this page are exact for South Korea, over 32 companies.
How this list was built
Company categories are rarely black and white. RevenueBase reads each company's own description of its business to decide whether it belongs among machine learning drug development companies, so some rows will be adjacent to the category rather than pure plays. The description and RevenueBase Smart Search rating on every row are there so you can check each match yourself.
- Source
- The RevenueBase company graph: 60 million companies and 398.9 million professional contacts resolved from primary sources, queried with RevenueBase Smart Search, the natural-language company search available to every RevenueBase user.
- What qualifies
- Companies headquartered in South Korea whose own description of what they do matches “machine learning drug development companies”. Matching reads each company's description, not its industry code or its name.
- RevenueBase Smart Search
- RevenueBase Smart Search is how this list is assembled and how each row is rated. RevenueBase's data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to a category defined in a user's own words. Each row is rated strong evidence (its own description names machine learning drug development companies), partial evidence (it names part of the category) or indirect evidence (the description shown names none of it and the match rests on the rest of the company's profile). The description supporting each rating is quoted on the row.
- What we exclude
- Companies whose own description does not clearly place them among machine learning drug development companies, and records with no verified work email. Companies headquartered outside South Korea are excluded even when they keep an office there.
- Match quality
- In blind human judging of this matching method, 86% of matched companies were on target. Expect roughly 1 in 7 rows to be adjacent to the category rather than a pure play. Every row shows the company's own description and its RevenueBase Smart Search rating so you can judge each match yourself. Read the full methodology: how the lists are built, how the judging worked, and what the figure means.
- Ranking
- Team size, largest first: companies are ordered by the number of professionals RevenueBase tracks at each one. Employee ranges shown are reported bands, for context.
- Verification
- Every listed company carries at least one verified work email, 61 across the full list. Contacts re-verify on a rolling cadence, and each contact's own verification date is shown inside RevenueBase.
- Refresh
- This page's figures were pulled from the company graph on September 28, 2026. Lists refresh periodically as the graph is re-checked.
- Corrections
- Wrong category, wrong headquarters, or a company that has closed? Use “Report an issue” on any row. Reports go to the RevenueBase Data Team and feed back into the company graph.
Frequently asked
What is RevenueBase Smart Search?
RevenueBase Smart Search is how RevenueBase decides which companies belong on this list and how strongly each one fits. Its data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to the category the list is about. Each row is rated strong evidence when the company's own description names machine learning drug development companies, partial evidence when it names part of the category, and indirect evidence when the description shown names none of it and the match rests on the rest of the company's profile.
How many machine learning drug development companies are there based in South Korea?
RevenueBase identified 32 machine learning drug development companies headquartered in South Korea as of September 2026, matched on each company's own description of what it does rather than its industry code.
What is the largest company on this list?
HITS, headquartered in South Korea, tops this list with the largest team on record.
Which city has the most machine learning drug development companies?
Seoul leads with 12 headquartered companies, followed by Busan (2) and Cheongju-Si (1).
How do I get contact information for these companies?
A free RevenueBase account lets you run this exact search and work the top results, verified emails and direct dials included. Upgrading unlocks all 61 verified decision-maker contacts tracked across these 32 companies.
How current is this list?
The list refreshes periodically as the company graph is re-checked. This page's figures were pulled on September 28, 2026.
Ready to reach these companies? Verified emails and direct dials for all 32 machine learning drug development companies based in South Korea. Start with a free account, no credit card.
Download this list →Related lists
Machine learning drug development companies by geography
- Machine learning drug development companies based in London, United Kingdom
- Machine learning drug development companies based in Boston, United States
- Machine learning drug development companies based in Cambridge, United States
- Machine learning drug development companies based in New York, United States
- Machine learning drug development companies based in San Diego, United States
- Machine learning drug development companies based in San Francisco, United States
- Machine learning drug development companies based in Canada
- Machine learning drug development companies based in France
- Machine learning drug development companies based in Germany
- Machine learning drug development companies based in India
- Machine learning drug development companies based in the Netherlands
- Machine learning drug development companies based in Spain
About this data
RevenueBase is a B2B data infrastructure company. Its company graph covers 60 million companies and 398.9 million professional contacts, with emails verified on a rolling cadence rather than scraped once and left to decay. These company lists are generated directly from that graph with RevenueBase Smart Search, the same natural-language company search every RevenueBase user has: describe a market in plain words, get the companies that match, and add verified emails and direct dials for the people at them. It is the same data that powers RevenueBase's B2B data products, and a free account includes 500 credits to start. How these lists are built and judged.
More company lists
- All company lists
- Lists by location
- Lists A-Z
- New lists
- Machine learning drug development companies based in London, United Kingdom
- Machine learning drug development companies based in Boston, United States
- Machine learning drug development companies based in Cambridge, United States
- Machine learning drug development companies based in New York, United States
- Machine learning drug development companies based in San Diego, United States
- Machine learning drug development companies based in San Francisco, United States