Deci AI vs G42

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

Deci AI has raised $80M in disclosed funding across 5 known rounds. G42's funding history is not publicly available.

G42 leads with an Awaira Score of 80/100, while Deci AI sits at 48/100. That 32-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Deci AI was founded by Yonatan Geifman in 2019. G42 was founded by Peng Xiao in 2018. Visit each company's profile on Awaira for a full founder biography.

Deci AI: Deci AI developed neural architecture search and model optimisation technology that automated the process of compressing and restructuring deep learning models for faster inference on target hardware, enabling AI teams to deploy models on edge devices, GPUs, and CPUs with significantly lower latency and compute cost than the original training architecture. The Tel Aviv company built AutoNAC, an automated neural architecture construction tool that generates hardware-aware model architectures optimised for specific deployment targets.\n\nThe company raised approximately $80 million in venture funding including a $55 million Series B from investors including Square Peg, Insight Partners, and Jibe Ventures before being acquired by NVIDIA in April 2024. The acquisition gave NVIDIA a model optimisation software layer to complement its GPU hardware, enabling NVIDIA to offer end-to-end AI deployment tools that span hardware, software runtime, and model architecture optimisation. Deci team integrated into NVIDIA developer tools organisation.\n\nDeci competed in the AI model optimisation and neural architecture search market alongside Neural Magic, Hailo, and model compression tools from major framework providers including TensorFlow Model Optimization Toolkit and PyTorch. The acquisition by NVIDIA is consistent with the chip company strategy of acquiring software and tooling companies that deepen customer dependency on the NVIDIA ecosystem. Deci inference acceleration technology provides NVIDIA customers measurable throughput and cost improvements on existing hardware, making it a natural product addition to the CUDA and TensorRT software stack. 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. Deci 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.

Deci 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 Deci 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.