Blog

DEEP RESEARCH · MOLOCO

Moloco: A Machine-Learning Advertising Engine for the Open Internet

A global ad-tech unicorn analysis across YouTube DNA, first-party data, and commerce/streaming media expansion

Written: 2025-09-12 · AI ad-tech/pre-IPO perspective · Original Naver Blog post

Investment decisions are your own responsibility. This material is research and is not a recommendation to buy or sell.

0. Bottom line first

Moloco is an ML-based ad-tech company, but the more precise framing is that it is an engine helping open-internet companies monetize their own data. The source’s main investment points are more than 12 consecutive profitable quarters, revenue growing 100x from KRW 15 billion to KRW 1.5 trillion, and participation by institutions such as Tiger Global and Fidelity.

The author says these are companies that recently won deep-tech awards, and this report is part of an effort to understand what they actually do.

1. Business model: from AI ad automation to owned media networks

Official fact: Moloco is a B2B technology provider offering enterprise-grade machine-learning solutions for programmatic advertising and commerce media. Its mission is to let companies use the type of ML technology once monopolized by big tech and turn first-party data into growth.

ADS

Moloco Ads

A Cloud DSP that finds high-value users across the open internet, including more than 3 million apps and 2 billion DAUs.

MCM

Commerce Media

Helps platforms such as OHouse, BALAAN, and Musinsa build their own advertising businesses.

MSM

Streaming Monetization

Supports ad monetization for OTT and streaming services such as TVING.

2. Growth and profitability in numbers

Official fact: The source states that Moloco revenue grew 100x from KRW 15 billion in 2020 to KRW 1.5 trillion recently, and that the company has recorded more than 12 consecutive profitable quarters, unusual for a high-growth technology company. It also says 90% of revenue comes from outside Korea and that Moloco operates offices in nine cities globally.

Moloco growth formulaCore elements from the source
TechnologyHigh-performance deep-learning prediction
MarketOpen internet
ProductsAds · Commerce · Streaming
Financials12+ profitable quarters
The thesis is that performance-based pricing and efficient ML infrastructure create both growth and profitability.

3. Technology moat: YouTube DNA and the data flywheel

Official fact: The source explains that founder and CEO Ikkjin Ahn was a founding technical lead for Google’s Android data team and played a key role in developing YouTube’s monetization engine. Moloco’s deep-learning model is described as handling more than 2 million prediction queries per second with latency below 100 milliseconds.

Interpretation: This “YouTube DNA” is not just an algorithm for better ads. It also includes the operating efficiency required to process massive data at low computing cost. As customers feed more data into the system, prediction accuracy and ROI can improve, attracting more customers and data in a flywheel.

4. Strategic position: the growth engine outside walled gardens

Moloco targets the open internet outside closed walled gardens such as Google and Meta. The source states that users spend 66% of mobile time on the open internet, while only 40% of digital ad spending goes there.

Interpretation: Commerce and streaming platforms such as Musinsa and TVING want their own advertising revenue streams so they can compete with giants such as Amazon and Netflix. Moloco is the technology partner that lets them operate retail and streaming media networks without building the full ad-tech stack themselves.

5. Competitive environment

CategoryMolocoThe Trade DeskAppLovin
Core technologyDeep-learning prediction model based on YouTube DNAMulti-channel DSP platformMobile-game ad network and MAX mediation
Business modelDSP + enterprise SaaSIndependent DSPAd network, mediation, app portfolio
Target marketMobile apps, commerce, streaming, fintechLarge agencies and brand advertisersMobile-game developers and app publishers
StrengthsROI, transparency, retail/streaming media modelIndustry standard, broad channel coverageMobile-game ecosystem share and in-app inventory

6. Investors, secondary transactions, and IPO roadmap

Official fact: The source says Moloco became a unicorn in 2021 at a $1 billion valuation and was later valued at more than $2 billion through secondary transactions. Tiger Global led a $150 million Series C, and long-term institutions such as Fidelity and EDBI also joined the cap table. In 2024, Shinhan Investment sold its 2021 investment to global institutional investors through a secondary sale, realizing a 2.5x return.

Interpretation: The source views these secondary transactions as pre-IPO overhang management. If early VC liquidity needs are partly handled before listing and the shareholder base shifts toward long-term institutions, post-listing selling pressure and volatility may be reduced.

7. Risk checklist

  • Public-market valuations for ad-tech companies may be lower than private-market expectations.
  • Competition continues against The Trade Desk, AppLovin, and big-tech ad platforms.
  • A performance-advertising strength may also limit expansion into brand advertising.
  • Post-IPO lockup expirations for early investors and employees still need to be checked.

Sources

Naver original