Meet Liner
Liner is a Korea-based global AI software company building AI-powered productivity and search tools for users around the world. As its AI systems became more central to the product experience, the team reached an important realization: performance alone was no longer enough.
As usage grew and AI capabilities expanded, decisions about data, model behavior, and oversight carried greater responsibility. Liner wanted to be sure that responsible AI was built into how AI systems were designed, reviewed, and improved over time.
To support this shift, Liner partnered with the Responsible AI Institute to strengthen its AI governance and responsible AI development practices in a way that could grow with the company.
Key Challenges
As Liner’s AI systems expanded, the company began to see how quickly complexity could compound.
Liner’s models and features were evolving quickly, responding to user needs across markets. At the same time, expectations around responsible AI were growing. What started as manageable challenges began to build on one another:
- Rapid AI development across product and engineering teams
- A lack of shared, formal standards for responsible AI practices
- Difficulty translating high-level principles into consistent development decisions
- Governance processes that risked falling behind evolving AI use cases
Decisions made in one area had downstream effects in others, making informal or ad hoc approaches harder to sustain over time. Liner recognized that without a solid foundation for AI governance and responsible AI development, these issues could become harder and riskier to unwind later.
Rather than waiting until problems surfaced externally, Liner chose to address them early by putting structure and clarity in place before the organization moved too far down the wrong path.
Solution
Liner became a member of the Responsible AI Institute to gain access to practical tools, expert knowledge, and structured resources focused on AI governance and responsible AI development.
Through membership, Liner was able to:
- Use RAI Institute’s assessment frameworks to evaluate existing governance and development practices
- Access guidance grounded in globally recognized AI standards
- Benchmark internal practices against clear expectations for responsible AI
- Identify gaps and areas for improvement as AI systems continued to evolve
For Liner’s leadership team, external validation was a deliberate step to reinforce both technical performance and governance maturity.
“While we have consistently proven the accuracy of Liner’s AI search through various benchmarks, we sought this validation from the RAI Institute to demonstrate that our governance capabilities also meet international standards for responsibility. As safety and trust are critical factors in AI adoption worldwide, we’re committed to being a trusted AI search service that excels in accuracy, ethics, and safety.” – Jinu Kim, CEO of Liner
This membership-based approach gave Liner a structured way to strengthen its foundation for responsible AI. Instead of relying on informal practices or internal interpretation alone, teams had clear reference points they could apply consistently as products and use cases scaled.
Outcome
Through this work, Liner strengthened how responsible AI was applied across the organization. Teams gained clearer expectations and more confidence in how responsible AI decisions were made during development.
Results included:
- More consistent AI governance practices
- Better alignment between product, engineering, and leadership
- Stronger documentation to support internal decisions
- Greater confidence that responsible AI principles were reflected in real development work
This foundation also laid the groundwork for Liner’s successful achievement of the Generative AI Foundation Badge, making Liner the first Korean AI startup to earn this recognition and providing independent validation that its governance and development practices align with recognized global standards.
Build Responsible AI Into How Your Teams Work
Liner’s experience is not unique. Many organizations are building AI faster than their governance and development practices can keep up. Early decisions multiply, workarounds become habits, and over time, it becomes harder to see where risk is building or how to correct course.
The Responsible AI Institute helps organizations put a solid foundation in place early. Through clear frameworks, expert guidance, and independent assessment, we help teams turn responsible AI from an aspiration into a working part of how AI is built and managed.
If your organization is scaling AI and wants confidence that it is moving in the right direction, now is the time to act.
By becoming a member of the Responsible AI Institute now, you can build a strong foundation of AI systems that you can stand behind as they grow — and as you grow alongside them. Discover membership options.
