South Korean software maker Hancom (030520.KS) reported its strongest quarterly revenue on record in the second quarter, powered by sales of its AI products. The company's June-quarter revenue reached 52.1 billion won ($37.6 million), up 11.9% year-on-year - a record for a single quarter - with operating profit of 13.4 billion won and a 25.7% operating margin, Hancom said on the 14th.
First-half revenue hit a record 98.6 billion won, a 7.2% increase, while net profit rose 23.3% to 40.7 billion won. On a consolidated basis, revenue climbed 24.6% to 183.6 billion won in the first half. The company sees the results as a launchpad for its AI transformation push in the months ahead.
AI revenue passes last year's full-year total in six months
Hancom's AI product revenue reached 13.47 billion won in the first half, exceeding the 8.9 billion won the company generated from AI products in all of last year. AI products' share of revenue rose from 11.4% in the first quarter to 15.7% in the second, while the share of B2B customers who adopted the AI package grew from 4.2% to 6.2% in the same window.
The company pushed AI features into subscription-based services rather than releasing new office packages. That has changed the shape of the business: Hancom's customer base adoption rate is still early, but it's tracking upward as the pricing shift takes hold. Weaker adoption in the existing base would be a sharper warning sign for the sales team building pipeline off AI for Sales Representatives Courses to map comparable patterns - the logic being: when product strategy changes, selling motion needs to change too.
Agentic operating system moves closer to release
Hancom plans to release a beta version of its agentic operating system in the third quarter and has been preparing proof-of-concept tests with large public and financial sector customers. The company has also been working to build a base of reference customers: it won the first phase of the National Assembly's big-data platform project, and secured contracts for an AI knowledge-search system at BGF Group and a generative AI project at Korea Western Power.
"Through our record first-half performance, we confirmed tangible results from our shift toward an AI-centered business," Hancom CEO Kim Yeon-soo said. He added that the company will "move quickly to push forward core tasks, including expanding the AI package based on our office customer base, commercializing our agentic OS, and entering the global physical AI market."
Hancom also wants to deepen its reach outside Korea. In June, it signed an agreement with the
Physical AI and Europe expansion
The company's European push includes a partnership with Polish AI firm Algomine, and it has now made hires in the Germany-Austria-Switzerland region to support that expansion. Its portfolio also extends beyond office software into physical AI territory: source With an eye toward that area, the company signed a five-year deal with French robotics firm Shark Robotics on the 12th, covering exclusive domestic sales of firefighting robots for South Korea. The models - a large firefighting and rescue robot called "Colossus" and a fire-door-blocking unit called "Rhino Protect" - will carry Hancom's agentic OS.
Why this matters for sales professionals
Hancom's sales acceleration is driven by a specific pattern: it moved existing customers from one-time licenses to subscription-based AI packages, and heard revenue from that base climb within two quarters - from 11.4% to 15.7% of revenue. The most practical lesson for selling generative AI and LLM capabilities in enterprise deals is the "subscription shift" - not a recap of the headline number, but the mechanical move that produced it. Sales teams selling similar products can note that upsell penetration of only 6.2% of the B2B base translated into record revenue, which means the actual total addressable internal market is still largely short-term. Whether that follows in the second half depends on how well Hancom adds enterprise announcements to carry its agentic OS into customer wins - a test that mirrors what many sales orgs will eventually face when they try to expand AI product lines from early adopters to the broader sales cycle.
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