Deci AI vs Merantix

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

Deci AI has raised more in total funding at $80M, compared to Merantix's $30M — a gap of $50M.

Merantix holds the higher Awaira Score at 50/100, compared to Deci AI's 48/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 2-point gap that reflects meaningful differences in scale or traction.

Deci AI was founded by Yonatan Geifman in 2019. Merantix was founded by Adrian Locher 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. 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. Deci 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.

Deci 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, Deci 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.