On 15 September, Macau Digit Force Technology Co., Ltd. was granted the Potential-tier Technology Enterprise certification by the Macao Economic and Technological Development Bureau (DSEDT).
The DSEDT's technology enterprise certification scheme is designed to identify qualified local technology enterprises. It assesses companies across multiple dimensions — business content and scale, R&D situation, and degree of innovation — and awards certification based on scoring results.
01 Rooted in Macao, serving the Bay Area and the world
As a high-tech enterprise based in Macao, serving the Guangdong-Hong Kong-Macao Greater Bay Area and oriented toward global markets, Macau Digit Force has a R&D staff ratio of over 50% and has established joint laboratories with two Macao higher-education institutions. Focusing on technological innovation across the full industry-academia-research chain, the company conducts deep research along two lines — algorithms with scenarios, and algorithms with silicon — continuously rolling out innovative product solutions to drive industry transformation through AI industrialisation.
Macau Digit Force is a subsidiary of Zhuhai Digit Force Technology Co., Ltd. Building on the parent company's more than 10 years of underlying chip technology and hardware application experience in the smart security industry, it began landing vertical-domain AI industrialisation applications at the start of 2025.
02 Why we can fully embrace AI
As AI technology penetrates from general-purpose domains into vertical industries, a new race of "industry evolution" has quietly begun. There is a consensus in the industry: in the future, industry-specific small models built on foundation models will become the core opportunity and key lever for upgrading every field. In this wave, we — a seemingly young company — have chosen to take a firm step toward "fully embracing AI".
Our confidence comes first from our deep participation in the digitalisation of mainland China. From the early days of digital transformation in traditional industries to today's refined operation of digital scenarios, we have always been on the front line. We have witnessed how manufacturing companies use data to connect production chains, and helped the security industry move from analogue to fully digital. This "immersive" participation means we are not bystanders to the AI wave, but practitioners who can land AI with a real understanding of the industry.
The core support for our embrace of AI is the "industry accumulation" built over decades. We may be a "young company" by founding date, but our shareholders are industry veterans with decades of deep experience in IoT — from R&D to business delivery, from data accumulation to resource integration. What we have accumulated is not just customer resources, but an "industry knowledge base" covering multiple scenarios — time-tested experience that serves as the "foundation" for AI.
03 What Macau Digit Force has done to embrace AI
In embracing AI, the company has not laid out its strategy blindly. It chose to start from familiar domains, advancing pilot deployment of industry models so that technology truly fits scenario needs.
In the security video intercom field, we integrate AI deep into the product core. Through the synergy of AI image enhancement and AI noise reduction, we break through the limits of traditional intercom products — blurry images and call noise — achieving clear imaging and smooth communication even in low light, backlight or noisy environments.
In indoor space intelligence, we have built a multimodal, end-to-end integrated spatial intelligence agent. Moving beyond the one-dimensional command-slot filling approach, it accurately understands user intent through multi-sensory input, achieving deep fusion between people and the space IoT for a more natural and efficient intelligent experience.
Both products will make their public debut by the end of 2025.
04 Continuing "low-cost hardware + data + AI" for industrialisation
Macau Digit Force Chairman Liu Zhenfeng believes that in the current era of the AI explosion, algorithms alone cannot go far. On one hand, foundation models require huge resources that are hard for small and medium-sized enterprises to match against domestic and international giants. More importantly, the lesson of the AI 1.0 era has proven that without industrial data, no matter how advanced the algorithm, it cannot land.
Backed by decades of accumulated experience, resources and talent, our team is both young and battle-tested — understanding the cutting-edge mechanisms of large models and knowing how to make them run efficiently in the real world. We figured out how a spatial intelligence agent should be built before we set out to do it.