Digitalpresso, a provider of AI-based industrial data automation solutions, announced that it has joined “Inception,” an AI startup support program operated by NVIDIA. The company recently received notification from NVIDIA confirming its acceptance into the program.

Inception is a free support program operated by NVIDIA for AI startups worldwide. It provides technical and commercialization support tailored to each company’s growth stage—from the prototype phase to commercialization—without requiring participation fees, membership dues, or equity. Participating companies receive benefits such as access to the latest SDKs and development tools, technical training from the NVIDIA Deep Learning Institute (DLI), preferential pricing on hardware and software, cloud credits from partner companies, and connections to a global venture capital network.

Digitalpresso plans to prioritize using this partnership to further refine its own AI models.
The company is applying its own fine-tuned OCR, Vision-Language Models (VLM), and Small Language Models (SLM)—all specialized for the construction domain—to its data platform “RenameDP,” and securing GPU resources and cloud credits will help shorten the model training and validation cycles.
In particular, since performance of on-device AI—which runs directly on field devices—depends heavily on model lightweighting and inference optimization, the company plans to use NVIDIA’s development tools and technical resources to accelerate the development of next-generation products, such as hands-free AI powered by smart glasses.

The company explains that this approach is also significant in terms of responding to the global market. Digitalpresso is conducting overseas pilot projects through the Korea Agency for Infrastructure Technology Advancement (KAIA) Global Accelerating Program and plans to leverage the joint marketing assets and global network provided by Inception to secure overseas references.

Digitalpresso stated, “To create AI that can be used immediately in the field, the key lies in how quickly we can train the model and how efficiently we can deploy it on field devices,” adding, “We will leverage NVIDIA’s technical resources to enhance the quality of AI models tailored to industrial settings and develop them into products that succeed in the global market.”