Liner Raises $36.1M to Scale Evidence-First AI Search
💡Liner’s $36.1M raise shows evidence-backed AI search is moving from consumer research into the enterprise.
⚡ 30-Second TL;DR
What Changed
Liner raised $36.1 million in Series C funding.
Why It Matters
The funding signals continued investor interest in AI search products that can support enterprise research and verification. Liner’s move also intensifies competition among tools seeking to make AI-generated answers more trustworthy and useful in workplace settings.
What To Do Next
Benchmark Liner or comparable evidence-first search tools on your enterprise corpus using citation accuracy, retrieval recall, and answer-grounding metrics.
Key Points
- •Liner raised $36.1 million in Series C funding.
- •LB Investment led the round.
- •Returning investors included InterVest, Atinum Investment, and CJ Investment.
- •Liner is shifting from consumer research toward enterprise AI search.
- •The company positions its search product around evidence-first research.
🧠 Deep Insight
Background and context from public sources — not the original article. 5 sources cited.
🔑 Enhanced Key Takeaways
- •Liner maintains a dual-headquarters structure with its primary base in Seoul and a strategic U.S. office in San Francisco to facilitate global expansion.
- •The company reports a significant global footprint with 14 million registered users spanning 220 countries and territories as of August 2026.
- •Liner's product ecosystem has expanded beyond general search to include specialized vertical tools: Liner Scholar, Liner Write, and Liner Finance.
- •The startup has already initiated B2B commercialization through its 'HUMAIN ONE' enterprise solution, targeting corporate and government sectors.
- •Industry metrics place Liner as the 30th most-visited AI service provider globally, according to recent Similarweb traffic analysis.
📊 Competitor Analysis▸ Show
| Feature | Liner | Perplexity | Elicit |
|---|---|---|---|
| Primary Focus | Evidence-first research | Conversational search | Academic literature review |
| Enterprise Focus | HUMAIN ONE solution | Perplexity Enterprise Pro | Elicit for Teams |
| Academic Rigor | High (Citations) | Medium (General) | Very High (Paper-based) |
🔮 Future ImplicationsAI analysis grounded in cited sources
⏳ Timeline
📎 Sources (5)
Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.
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Original source: The Next Web (TNW) ↗
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