Deci AI vs Hugging Face

Hugging Face has a disclosed valuation of $4.5B, while Deci AI's valuation is not publicly available, making a direct size comparison difficult. Hugging Face employs 250 people.

Hugging Face has raised more in total funding at $395M, compared to Deci AI's $80M — a gap of $315M. Combined, the two companies have completed 9 known funding rounds.

Hugging Face leads with an Awaira Score of 82/100, while Deci AI sits at 48/100. That 34-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. Hugging Face was founded by Clement Delangue in 2016. 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. Hugging Face: Hugging Face is an AI platform company founded in 2016 that has become a central hub for the machine learning community. The company provides open-source libraries, pre-trained models, and collaborative tools for natural language processing and machine learning development. Its flagship offering, the Transformers library, enables developers to access and fine-tune state-of-the-art models for tasks including text classification, translation, summarization, and question-answering. The Hugging Face Model Hub hosts over 700,000 open-source models contributed by researchers and practitioners globally, making it a primary resource for model discovery and sharing. The company also offers inference APIs, AutoTrain for automated model training, and enterprise solutions for organizations deploying models in production. Hugging Face has achieved a $4.5 billion valuation with $395 million in total funding as of its Series D stage. The platform serves a diverse user base ranging from individual researchers to major technology companies. Its competitive positioning centers on democratizing access to advanced AI models through open-source initiatives and community-driven development. The company generates revenue through hosted inference services, enterprise features, and AutoTrain premium offerings. Growth has been driven by increasing demand for accessible AI tools and the model-sharing economy expansion. Hugging Face operates the largest open-source model repository, positioning it as infrastructure for the AI development ecosystem rather than a consumer application.

Hugging Face got there first, launching in 2016 — that's 3 years 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; Hugging Face has about 250. 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 Hugging Face compete in ML Platform, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.