Nota AI vs Merantix

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Nota AI employs 1-50 people, while Merantix has 100-500 employees.

Merantix has raised more in total funding at $30M, compared to Nota AI's $10M — a gap of $20M.

Merantix holds the higher Awaira Score at 50/100, compared to Nota AI's 38/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 12-point gap that reflects meaningful differences in scale or traction.

Nota AI was founded by Gwang-jin Cho in 2019. Merantix was founded by Adrian Locher in 2016. Visit each company's profile on Awaira for a full founder biography.

Nota AI: Nota AI develops neural network compression and optimisation technology for deploying AI models on edge devices and embedded systems with limited compute and power resources, providing tools that compress, quantise, and prune large neural network models into lightweight versions suitable for smartphones, surveillance cameras, automotive chips, and IoT devices. The Seoul company NetsPresso platform automates the model optimisation workflow, reducing the engineering effort required to adapt research models for production hardware deployment.\n\nThe company raised approximately $10 million in venture funding from Korean AI-focused investors. Nota AI targets computer vision and NLP model deployment scenarios where inference must run locally on resource-constrained hardware rather than in the cloud, a requirement driven by latency, privacy, and connectivity considerations. The company customers include semiconductor companies integrating AI features into SoC designs and device manufacturers seeking to add on-device AI capabilities without redesigning around more powerful processors.\n\nNota AI competes in the edge AI model optimisation market against Kneron, Hailo, and embedded AI optimisation tools from semiconductor companies including ARM, Qualcomm, and MediaTek. Its software-first approach, which optimises models for deployment across diverse existing hardware rather than requiring a specific custom chip, addresses the fragmented edge hardware ecosystem where AI model developers need to support many different target processors from different vendors. The Korean semiconductor industry concentration creates a proximate customer base among chipmakers and device manufacturers seeking edge AI capabilities. Merantix: Merantix operates as an AI venture studio and holding company, building and investing in applied AI businesses across healthcare, mobility, and enterprise verticals from its Berlin base. The company model combines internal company building through its Merantix AI Campus with minority stakes in portfolio AI companies, acting as both an operator and an investor in the Berlin AI ecosystem.\n\nThe company raised approximately $30 million in venture funding and has built multiple AI ventures including Vara, an AI mammography screening tool, and Merantix Momentum, an enterprise machine learning platform for industrial and logistics applications. Merantix operates the AI Campus Berlin, a physical hub for AI researchers and companies that has become one of Germany most active technology community spaces, hosting events and providing shared infrastructure for AI development teams.\n\nMerantix occupies a distinctive position in the German AI ecosystem as one of the few organisations combining venture studio operations with a physical AI campus model. The company competes with AI labs and applied AI consultancies for talent and clients while differentiating through equity-aligned co-building arrangements that align its interests with portfolio company success. Germany position as Europe largest economy and its strength in industrial and automotive sectors create a substantial home market for AI applications in manufacturing, logistics, and healthcare, sectors that Merantix portfolio companies target directly.

Merantix was founded first in 2016, giving it 3 years of additional market experience. Nota AI was founded later in 2019. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Nota AI has approximately 1-50 employees, while Merantix has approximately 100-500. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Nota AI and Merantix are direct competitors — both operate in the ML Platform space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.