Nota AI vs G42

G42 has a disclosed valuation of $10B, while Nota AI's valuation is not publicly available, making a direct size comparison difficult. G42 employs 1000+ people.

Nota AI has raised $10M in disclosed funding across 2 known rounds. G42's funding history is not publicly available.

G42 leads with an Awaira Score of 80/100, while Nota AI sits at 38/100. That 42-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Nota AI was founded by Gwang-jin Cho in 2019. G42 was founded by Peng Xiao in 2018. 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. G42: G42 is an Abu Dhabi-based AI and cloud computing group backed by the Abu Dhabi royal family and Mubadala Investment Company, operating a portfolio of AI subsidiaries spanning cloud infrastructure, healthcare AI, smart city technology, genomics, and foundation model development. The group provides AI cloud services and applied AI solutions to government agencies and enterprises across the UAE and international markets, and has made significant investments in AI chip supply and data center infrastructure.\n\nGovernment-backed with a reported valuation exceeding $10 billion, G42 received a $1.5 billion strategic investment from Microsoft in 2024, giving Microsoft a significant stake and providing G42 with Azure cloud technology and global commercial partnerships. The group subsidiaries include CPH (cloud and AI infrastructure), Presight AI (big data analytics), and Bayanat (geospatial data), creating a vertically integrated UAE national AI platform spanning compute, data, and applications.\n\nG42 competes in the Middle East AI market while facing scrutiny from US government officials regarding its historical relationships with Huawei and Chinese technology companies, which led to restrictions on its access to advanced US AI chips. The Microsoft investment included commitments from G42 regarding technology governance and data security that addressed some of these concerns. The group position as a state-backed AI champion reflects UAE national AI strategy ambitions to establish Abu Dhabi as a global AI hub, with G42 serving as the primary vehicle for government-directed AI investment and deployment.

G42 got there first, launching in 2018 — that's 1 year of extra runway. Nota AI didn't arrive until 2019. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Nota AI has about 1-50 employees; G42 has about 1000+. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Nota AI and G42 compete in ML Platform, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.