SINGAPORE, June 2, 2026 /PRNewswire/ -- Aippy, the world's first AI-native game community developed by NADA AI, today announced that it has raised tens of millions of dollars in its first funding round led by Glowill Capital, bringing its post-money valuation to US$250 million. The proceeds will be used to attract top global talent and support user growth as Aippy continues to expand its creator ecosystem.
"Looking ahead, we're focused on two priorities," said Evan Yip, Founder of Aippy. "The first is continuing to improve our recommendation and distribution systems to make discovering and playing content more engaging and personalized. The second is investing further in our creator ecosystem through better growth tools, incentives, and community support."
"Both efforts are ultimately about helping more users create, connect, and participate. As the community scales, we believe stronger creator engagement and richer content experiences will continue to strengthen Aippy's long-term competitive advantage."
"We were drawn to Aippy by the team's rare combination of strong consumer internet expertise, global operating experience, and deep understanding of social and gaming products," said a representative from Glowill Capital. "We also see significant growth potential in lowering the barrier to game creation through AI while building a community-driven ecosystem. When we were interviewing Aippy users, many of them, from Europe and North America, showed strong enthusiasm and a clear sense of belonging to the platform, which further strengthened our confidence in Aippy's long-term potential."
Founded in Hong Kong, Glowill Capital is a global multi-strategy investment platform spanning a range of technology-driven industries, including artificial intelligence, quantum computing, biopharmaceuticals, semiconductors, and clean energy.
Since its launch in April 2025, Aippy has gained strong traction across major English-speaking markets, including the United States, the United Kingdom, and Canada, with Gen Z and Gen Alpha users making up a significant portion of Aippy's community.
To date, Aippy has surpassed 3 million downloads worldwide and is approaching 2 million monthly active users. Its Discord community has grown to approximately 15,000 members, where users actively exchange prompts, showcase their creations, and collaborate on new ideas — further strengthening engagement and reinforcing the platform's creator ecosystem.
According to Aippy statistics, this app's growth has increasingly been driven by organic adoption, with more than 30% of new users now arriving through non-paid channels.
Aippy's creator ecosystem has also expanded rapidly. Users have collectively created more than 2 million games on the platform, and the number of games published each day has grown tenfold since the start of the year. As content volume and diversity continue to increase, user engagement has deepened accordingly. The daily engagement rate of active users reached nearly 50% — an indication of the platform's strong retention and network effects.
"We don't think the future belongs to creation tools alone," said Evan. "The real opportunity lies in building communities where creativity compounds — where people can build on each other's ideas, remix experiences, and collectively create entirely new forms of entertainment."
"Aippy's long-term vision is to become the home of AI-native interactive entertainment: a place where anyone can create, anyone can inspire, and where the next generation of entertainment emerges from the community itself."
** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **
Aippy Raises Tens of Millions of Dollars at a $250 Million Valuation to Build the Future of AI-Native Interactive Entertainment
- Built on Qwen 3.5/3.6 and tuned for institutional and enterprise use
- Dnotitia releases DNA 3.0, a family of AI language models built on Qwen 3.5/3.6 and enhanced through proprietary post-training
- The model family is designed to help organizations adapt AI to their own data, workflows, and response policies
- DNA models are already integrated into Seahorse Cloud, Dnotitia's AI data platform for enterprise Q&A and AI agent applications
- The lineup ranges from 0.8B to 122B-A10B, supporting use cases from edge environments to enterprise AI agents
SEOUL, South Korea, June 2, 2026 /PRNewswire/ -- Dnotitia Inc. (Dnotitia), a company specializing in long-term memory AI and semiconductor-based AI infrastructure technologies, today announced the release of DNA 3.0, an enterprise-ready AI language model family, on Hugging Face.
DNA 3.0 is built on Qwen 3.5/3.6, a large language model family released by Alibaba Cloud. Dnotitia applied its own post-training and tuning to the models, enabling organizations to adapt them to their data, workflows, and response requirements.
The release reflects Dnotitia's approach to making open models more useful in real enterprise environments. Rather than using an open model as-is, DNA 3.0 is tuned to deliver more consistent responses, reflect organizational context, and support practical AI agent use cases.
Dnotitia also applied persona training to DNA 3.0, allowing the model to better reflect company information and product context. This is designed to support organizations that want AI models to respond in line with their internal knowledge, service policies, and business requirements.
DNA 3.0 has also been post-trained to reduce certain response constraints and language-mixing issues that may appear when adapting Qwen-based models. This improves usability in Korean-language enterprise and institutional environments, where stable question-answering and workflow support are critical.
The DNA model family is currently integrated into Seahorse Cloud, Dnotitia's AI data platform. Seahorse Cloud converts enterprise documents and unstructured data into AI-ready knowledge assets, enabling semantic search, context-aware answer generation, and AI agent workflows based on enterprise data.
Through DNA 3.0, Dnotitia plans to further strengthen Seahorse Cloud's ability to support enterprise data-driven AI agents. The goal is to help organizations move beyond storing and searching data, and instead turn their information assets into a usable AI knowledge layer for real business workflows.
The DNA 3.0 lineup includes models ranging from lightweight versions to mid- and large-scale Mixture-of-Experts (MoE) models. Released models include 0.8B, 2B, 4B, 9B, 27B, 35B-A3B, and 122B-A10B, allowing users to choose models based on deployment environment, performance needs, and cost considerations.
The 35B-A3B and 122B-A10B models use a MoE architecture, which activates only selected expert modules for each query. This approach helps deliver large-model capabilities while reducing the computational load required for inference. DNA 3.0 also inherits key capabilities from previous generations, including long-context handling, reasoning trace preservation, tool use, and coding support.
"Institutions and enterprises need AI models that can be adapted to their own data and workflow context," said MK Chung, CEO of Dnotitia. "By integrating DNA 3.0 with Seahorse Cloud, we will continue to expand enterprise AI agent capabilities powered by organization-specific data."
Dnotitia has continued to expand its DNA model family since the release of DNA 1.0 in December 2024, followed by DNA-R1, a Korean reasoning-focused model, and DNA 2.0, a Korean agentic AI language model. DNA 3.0 builds on this progression by strengthening enterprise-oriented tuning and product integration through Seahorse Cloud.
SEOUL, South Korea, June 2, 2026 /PRNewswire/ -- Dnotitia Inc. (Dnotitia), a company specializing in long-term memory AI and semiconductor-based AI infrastructure technologies, today announced the release of DNA 3.0, an enterprise-ready AI language model family, on Hugging Face.
DNA 3.0 is built on Qwen 3.5/3.6, a large language model family released by Alibaba Cloud. Dnotitia applied its own post-training and tuning to the models, enabling organizations to adapt them to their data, workflows, and response requirements.
The release reflects Dnotitia's approach to making open models more useful in real enterprise environments. Rather than using an open model as-is, DNA 3.0 is tuned to deliver more consistent responses, reflect organizational context, and support practical AI agent use cases.
Dnotitia also applied persona training to DNA 3.0, allowing the model to better reflect company information and product context. This is designed to support organizations that want AI models to respond in line with their internal knowledge, service policies, and business requirements.
DNA 3.0 has also been post-trained to reduce certain response constraints and language-mixing issues that may appear when adapting Qwen-based models. This improves usability in Korean-language enterprise and institutional environments, where stable question-answering and workflow support are critical.
The DNA model family is currently integrated into Seahorse Cloud, Dnotitia's AI data platform. Seahorse Cloud converts enterprise documents and unstructured data into AI-ready knowledge assets, enabling semantic search, context-aware answer generation, and AI agent workflows based on enterprise data.
Through DNA 3.0, Dnotitia plans to further strengthen Seahorse Cloud's ability to support enterprise data-driven AI agents. The goal is to help organizations move beyond storing and searching data, and instead turn their information assets into a usable AI knowledge layer for real business workflows.
The DNA 3.0 lineup includes models ranging from lightweight versions to mid- and large-scale Mixture-of-Experts (MoE) models. Released models include 0.8B, 2B, 4B, 9B, 27B, 35B-A3B, and 122B-A10B, allowing users to choose models based on deployment environment, performance needs, and cost considerations.
The 35B-A3B and 122B-A10B models use a MoE architecture, which activates only selected expert modules for each query. This approach helps deliver large-model capabilities while reducing the computational load required for inference. DNA 3.0 also inherits key capabilities from previous generations, including long-context handling, reasoning trace preservation, tool use, and coding support.
"Institutions and enterprises need AI models that can be adapted to their own data and workflow context," said MK Chung, CEO of Dnotitia. "By integrating DNA 3.0 with Seahorse Cloud, we will continue to expand enterprise AI agent capabilities powered by organization-specific data."
Dnotitia has continued to expand its DNA model family since the release of DNA 1.0 in December 2024, followed by DNA-R1, a Korean reasoning-focused model, and DNA 2.0, a Korean agentic AI language model. DNA 3.0 builds on this progression by strengthening enterprise-oriented tuning and product integration through Seahorse Cloud.
** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **
Dnotitia Releases DNA 3.0, an Enterprise-Ready AI Language Model Family
