We empower organizations to run secure, production-ready AI with tailored solutions, reducing compute costs and retaining full control across cloud, data centers and edge environments
Our advanced compression technology reduces LLM size, enabling faster, scalable and cost effective AI on any enterprise system or edge device.
50-80%
Lower Inference Costs
Up to
2x
Faster Inference
Close to
100%
Accuracy Retention

Coming Soon
Sovereign AI
A unified platform for sovereign AI infrastructure: explore models, deploy GPU clusters, monitor costs and workloads, and access serverless AI services—all within a clean, intuitive control panel.
Our Compressed AI Models have been validated by Global Leaders

Training and inference costs are escalating. With model sizes exploding, efficient AI is no longer optional. Our compression technology makes large-scale AI sustainable.

Energy-intensive infrastructures require smarter, more efficient algorithms. Compact AI reduces compute and power usage across critical applications.

Insights
Optimizing complex problems with Nexiafy
Our optimization platform powers the breakthroughs behind our compact AI technology.
Explore InsightsFounded in 2019, we set out to make advanced AI practical for production teams. That work became our platform, built so clients can run efficient models without giving up control. We shape each system around a team’s constraints, and put software they can operate into the industry they already run.
Sets the direction for Nexiafy’s product and customer work. She spends her time with teams who need production AI they can run themselves, and keeps the company focused on software that stays efficient once it leaves the lab.
SynthiaFleet tackles a core bottleneck in smart EV fleet management: the shortage of rich, privacy-safe operational data. Using physics-based AI and Tensor Networks, it generates synthetic fleet data that respects real physical constraints (State of Charge dynamics, depot power limits, weather-dependent solar curves) while Differential Privacy keeps the data fully decoupled from real fleet behaviour, and a dedicated edge-case module trains downstream algorithms for extreme conditions, not just the average case. SynthiaFleet was funded through O-CEI's Open Call under the EU's Horizon Europe programme, Grant Agreement No. 101189589
Nexiafy is backed by the Sociedad Española para la Transformación Tecnológica, E.P.E. (SETT), a Spanish public entity that promotes technological innovation. SETT’s investment reflects strong institutional support for Nexiafy’s mission to advance cutting-edge computing and AI across strategic industries.
Nexiafy has focused its efforts on applying artificial intelligence and advanced optimization techniques to the aviation sector, with the aim of improving flight operational efficiency. The company has played a key role in developing models capable of analyzing large volumes of data and generating optimized solutions in complex environments.
Chips for Heterogeneous Agent-based Modular Edge and HPC Operations in AI Networks (CHAMELEON) MIE-010100-2024-53 The goal of this project is to research and validate a comprehensive hardware and software infrastructure for the distributed execution of generative artificial intelligence models in agent-based architectures, with a focus on industrial deployment and edge environments.
Secure-by-Design AI Chips for Critical Infrastructures MIE-010100-2025-4 The goal of this project is to design, prototype, and validate a new generation of secure-by-design artificial intelligence chips, specifically designed for deployment in critical infrastructure such as defense, aerospace, advanced manufacturing, and industrial automation.
Virtual Intelligent Computing Tools for the Optimization of Microelectronics MIE-010100-2024-2 The goal of this project is to investigate innovative solutions based on artificial intelligence and quantum computing to revolutionize the design and manufacturing of semiconductors and specialized chips.
Nexiafy has participated in the development of the Q-AINA project, which focuses on the efficient compression and execution of artificial intelligence models using quantum and quantum-inspired techniques. Its contribution has involved the application of machine learning models for the characterization and control of quantum systems, as well as the validation of hybrid solutions that combine classical and quantum computing. This project was developed under the RETECH Program – Line 1: Projects to Promote Technology Transfer and Innovation in the Field of AI, administered by the Department of Business and Labor of the Government of Catalonia. With the support of the Government of Catalonia.
Nexiafy has drawn on its expertise in advanced modeling and the analysis of complex systems to address the challenges associated with hydrogen storage and transportation. Its work has focused on developing tools that enhance our understanding and optimization of the processes involved in this field.
Nexiafy has played a key role in developing advanced artificial intelligence solutions designed to improve computational efficiency and reduce the environmental impact of digital systems. Its work has focused on researching and applying innovative techniques that optimize AI models, reducing their resource consumption without compromising performance.
Nexiafy Research has played a key role in the development and execution of the project funded under the "Gipuzkoa Advanced New Therapies Territory (GANTT)" program, contributing significantly to its objectives through its leadership in advanced quantum computing technologies applied to the biotechnology sector. Our participation has ensured an innovative approach that not only strengthens the competitiveness of the technological ecosystem in Gipuzkoa, but also generates a direct impact on the advancement of advanced therapies.
Research and development of solutions based on biomimetics for the generation of flexible production environments adapted to the manufacture of short series with uncertain volumes of electric, plug-in hybrid and hydrogen-powered vehicles, financed by the Center for the Development of Industrial Technology (CDTI) within the Sustainable Automotive Technology Program (PTAS).
Quantum computing and its application to strategic industries. Science and Innovation Missions Program of the year 2021.
Project No. ZE-2022/00033 - Q4REAL project. Program of support grants for business R&D - Hazitek.
KK-2023/00064 - Key Technologies for Hydrogen Storage and Transportation
MIG-20221061 - Funded by the European Union – NextGenerationEU and supported by the CDTI. Quantum cognitive digital industry: a hyper automated, accessible and cyber-secure (quantum-resistant) digital twin based on extreme data mining. Financiado por la Unión Europea – NextGenerationEU y subvencionado por el CDTI.
Solutions to the New Electric Mobility Needs based on Sustainability and Connectivity criteria
PTEP-20241026 "HERMESS (Hybrid Emergency Response Multi-Domain Ecosystem Via Satellited And Stratospheric Platforms)" supported by the CDTI
MIG-20231016 - Integrated Photonic Cross-Sector as a Transformative Deep Tech of Strategic Industries. “Funded by the European Union - NextGenerationEU and supported by the CDTI.”
MIG-20231006 - Design of Innovative Chips for the First High-Performance, Low-Energy Consumption Multifunctional Integrated Board in Stratospheric Balloons. “Funded by the European Union – NextGenerationEU and supported by the CDTI.”
Efficiency of LLM Models for Strategic Industries ZE-2024/00009