South Korea’s deep-tech ecosystem is entering a new vertical. AI chipmaker Rebellions and LegalTech startup Wert Intelligence have joined forces to build an on-premise AI infrastructure tailored for patent analytics. Their collaboration marks one of the country’s earliest hardware–software integration in the patent AI domain, designed to boost security, speed, and cost efficiency for enterprise applications.

Rebellions and Wert Intelligence Partner to Build Patent AI Infrastructure

On February 3, Rebellions announced a strategic collaboration with Wert Intelligence, a startup specializing in patent-focused AI solutions. The agreement establishes a new on-premise AI infrastructure that integrates Rebellions’ ATOM-Max NPU (Neural Processing Unit) with Wert Intelligence’s proprietary LLM and patent data models.

The combined platform allows enterprises to operate specialized AI systems within secure, closed networks, meeting stringent IP and data protection requirements while maintaining high computational performance.

This partnership addresses a growing market need: the sharp increase in AI-driven patent search, analysis, and summarization tools amid the expansion of generative AI. Both companies emphasized that the joint solution can significantly reduce the cost of running large models while improving processing speed and operational safety.

Background & Context: Deep-Tech Meets LegalTech

The collaboration aligns with South Korea’s ongoing transition toward vertical AI and secure on-premise deployment models. Recent advances in AI chip design and domain-specific large language models have made localized, industry-targeted solutions increasingly viable.

Rebellions’ NPU technology, known for its high performance and low power consumption, underpins the hardware layer. Wert Intelligence contributes AI models and datasets trained for patent language and legal documentation, forming the software core.

Together, they are creating a full-stack Patent AI system—a combination of hardware, data, and inference environment optimized for organizations that require both computing autonomy and data security.

Stakeholder Statements: Focus on Efficiency and Scalability

Yoon Jung-ho, CEO of Wert Intelligence, stated:

“We’ve established the foundation for patent AI that runs faster, more reliably, and more economically in real industrial environments. By combining our patent-specialized AI with Rebellions’ NPU infrastructure, we plan to extend patent AI into companies’ decision-making systems and prove competitiveness in global markets.”

Kim Kwang-jung, Head of Business at Rebellions, added:

“As AI services expand, cost efficiency and operational safety have become essential values. This collaboration proves the strength of NPU-based AI infrastructure in high-value sectors like patents, and we aim to scale this model across global vertical AI markets.”

Ecosystem Significance: A Strategic Signal for Korea’s Deep-Tech Transition

Rebellions’ new collaboration with Wert Intelligence signals how Korea’s AI chip pioneers are progressing beyond infrastructure validation toward industry-specific deployment.

In earlier stages, Rebellions’ role centered on NPU stability validation under national AI infrastructure programs and cross-industry partnerships such as its collaboration with Lunit in medical AI. Those efforts established their credibility in technical reliability and applied AI performance.

This new partnership marks the next phase—embedding NPU-based computing directly into enterprise verticals like LegalTech. By co-developing an on-premise Patent AI stack, Rebellions moves from being a semiconductor innovator to becoming a platform enabler that connects hardware intelligence with domain-specific AI ecosystems.

For Korea’s startup landscape, this reflects a broader transformation. Deep-tech ventures are no longer confined to hardware or algorithms alone; they are forming hybrid alliances that merge chip-level computing with commercial AI applications. Such integration is essential for advancing AI sovereignty, one of Korea’s policy priorities under the Ministry of SMEs and Startups (MSS).

At a global level, the model offers a reference for secure enterprise AI deployment, especially for sectors managing intellectual property, research data, or confidential documentation—areas increasingly seeking alternatives to public cloud infrastructure.

Closing Perspective: Korea’s AI Industry Expands into Legal Infrastructure

Beyond this joint service, Rebellions and Wert Intelligence are mapping a new technological corridor between AI hardware, legal data intelligence, and enterprise infrastructure.

Their approach reflects how Korea’s startup ecosystem is maturing beyond software innovation toward hardware-integrated AI ecosystems that enable real industrial transformation.

As patent AI adoption accelerates globally, this collaboration could establish a benchmark for how deep-tech partnerships reshape both productivity and policy alignment in regulated industries.

Key Takeaways on Rebellions and Wert Intelligence Partnership

• Rebellions and Wert Intelligence partnered to co-develop one of Korea’s earliest Patent AI infrastructure built on secure, on-premise systems.
• The platform combines Rebellions’ ATOM-Max NPU with Wert Intelligence’s patent-specialized LLM and structured data models.
• Designed for enterprises handling intellectual property, the system improves data security, operational cost efficiency, and real-time inference performance.
• Marks Rebellions’ expansion from validated AI semiconductor deployment to vertical domain integration in LegalTech.
• Advances Korea’s vertical AI roadmap, linking deep-tech hardware with sector-specific generative AI applications.
• Reflects the next phase of AI sovereignty strategy, extending state-backed AI infrastructure into commercial use cases.
• Demonstrates how Korean deep-tech startups are evolving into infrastructure builders for regulated, data-sensitive industries.
• Establishes a reference model for hardware–software convergence as Korea’s AI ecosystem enters industrial-scale maturity.

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