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Signaloid previews a new ASIC purpose-built for physical AI and robotics workloads. The chip, taped out with TSMC in partnership with IC-Link by imec and Cadence, is projected to deliver up to 1000× better performance-per-Watt in key physical AI workloads. Built on Signaloid’s UxHw® technology, the ASIC complements the company’s cloud platform and FPGA-based hardware modules, which already deliver major speedups for quantitative finance and engineering simulations. Signaloid (https://signaloid.com), a computing platform company providing hardware and binary-translation-based acceleration of AI, robotics, aerospace, and quantitative finance workloads, today announced the tapeout and preliminary specifications documents for its C0-ASIC. Delivery of engineering samples to the first customer is due in Q3 2026, and additional FPGA-based systems implementing the ASIC’s register-transfer-level (RTL) design are under discussion for deployment in the UK and Switzerland later in 2026. The new ASIC and the FPGA-based accelerators complement Signaloid’s existing hardware starter modules (available through electronics distributor Mouser) and cloud-hosted implementations of its technology, already being used or evaluated in aerospace, quantitative finance, and high-performance physics simulations. The C0-ASIC was targeted specifically at energy-efficient physical AI workloads. The UK Advanced Research and Invention Agency (ARIA) will take delivery of systems based on the ASIC for use in next-generation AI workloads such as second order methods. “The Scaling Compute program at ARIA commissioned several innovative technology prototypes pursuing unconventional ideas to design new AI accelerators”, says ARIA Program Director Suraj Bramhavar. “We commissioned Signaloid’s C0-ASIC for evaluation in randomized numerical linear algebra and probabilistic computing workloads. We believe randomized linear algebra represents a fundamentally new and powerful technique underpinning many applications in computer science including AI, and exploiting these principles in hardware could provide an entirely new vector for improved performance. We are excited to invest behind this theme, in partnership with Signaloid, to explore its full potential.” A Different Kind of AI Compute Accelerator The C0-ASIC implements Signaloid’s distribution-extended compute hardware (UxHw®) technology. Unlike conventional CPUs and GPUs, which use impressive amounts of sheer compute force across thousands of compute cores, to solve problems that require iterative randomized variations, Signaloid’s UxHw builds on new mathematical techniques to restructure computations, dynamically, to achieve the same results while often using 1000-fold (or more) less energy. Signaloid has already deployed implementations of UxHw using a combination of binary translation and FPGA-based hardware implementation, ahead of custom silicon availability. Implementations for robotics applications are available through Mouser, with demonstrated performance improvements of, e.g., over 37-fold for robotics particle filter algorithms. Implementations for large-scale workloads are available today through Amazon Web Services (AWS), and have demonstrated more than 580× speedup for Heath–Jarrow–Morton swaptions pricing, over 430× speedup for Value at Risk (VaR) on geometric Brownian motion processes, and over 80× acceleration for radiation transport simulations, compared with AWS r7iz instances. The UxHw technology and its implementation is covered by a growing portfolio of over 90 intellectual property filings in the US, China, Taiwan, Japan, and the EU. What the ASIC Will Enable Signaloid’s existing deployment of UxHw already provides multiple orders of magnitude speedup over the status quo. The C0-ASIC will permit even greater improvements in performance and energy-efficiency. “The kinds of compute workloads that Signaloid’s UxHw is designed for, pervade many aspects of robotics, physical AI, engineering, and quantitative finance,” says Phillip Stanley-Marbell, founder and CEO of Signaloid. “The C0-ASIC took the lessons we have learned from shipping our binary-translation-based and FPGA implementations of UxHw and making as efficient a silicon implementation as possible. The additional step-change in efficiency will make possible even more advanced algorithms like efficient probabilistic and Bayesian methods in robotics, which in turn could be the enabler of more adaptable and resilient physical AI.” An International Partnership The design and implementation were the result of a collaboration between Signaloid and world-leading design partners IC-Link by imec and US-based Cadence Design Systems. “Leading AI hardware innovators trust IC link as a key partner to bring their most advanced ASIC concepts through design and into production with our foundry partner TSMC,” says Ozgur Gursoy, Director Portfolio & Strategy for IC-Link’s ASIC services. “We are proud to have partnered with Signaloid in bringing the C0 Dreadnought ASIC from concept through the design cycle, enabling a new class of compute efficiency for distribution-enhanced computing applications.” Speaking of the partnership, John Heighton, sales group director, EMEA North and Central at Cadence, said, “Cadence sets the industry standard for enabling leading companies to tape out cutting-edge AI silicon, including Signaloid’s C0-Dreadnought, now in production at TSMC. We support startups advancing next-generation computing by delivering our high-performance Artisan SRAM memories for Signaloid’s ASIC.” Availability Engineering samples of bumped dies of the C0-ASIC will be available in Q3 2026. A 2-page preliminary design brief of the C0-ASIC is available immediately, for qualifying customers. Customers interested in robotics and industrial automation use cases will also be able to see the UxHw technology in action at the Bosch Connected World flagship event in Berlin, from 10th–11th June 2026.

Signaloid (https://signaloid.com) today announced the preview release of the Signaloid C0-microSD+33, an edge hardware accelerator module for robotics and trustworthy AI. The Signaloid C0-microSD+33 module eases the implementation of algorithms such as state estimation, sensor fusion, particle filters, Gaussian process models, trustworthy machine learning inference, and real-time uncertainty quantification. The module makes these algorithms easier to implement as well as providing orders of magnitude speedup in many use cases, enabled by the Signaloid UxHw® technology’s capability of performing arithmetic directly on probability distributions. The Signaloid C0-microSD+33 expands Signaloid’s edge hardware realizations of the Signaloid UxHw technology deployed in the enterprise-grade Signaloid Cloud Compute Engine, and follows on from the release in summer 2025 of the Signaloid C0-microSD starter module. While the starter module provided a cost-effective way for both professionals and hobbyists to get started with Signaloid's UxHw technology in edge-of-the-network applications, the Signaloid C0-microSD+33 delivers higher compute power and more embedded core memory within its microSD form factor, bringing Signaloid’s UxHw technology to production deployments that require the highest performance. Organizations can easily integrate these modules into the hardware and software of legacy platforms ranging from robotics to factory automation PLCs by inserting the device into a vacant microSD card slot in the embedded system. Signaloid will be previewing the Signaloid C0-microSD+33 module in AI/ML applications at Embedded World 2026, Nuremberg Messe, Hall 2, booth 2​​-412e, from 10 to 12 March.

Signaloid (https://signaloid.com), a company providing hardware and cloud-based computing solutions for running workloads ranging from quantitative finance computations, to engineering simulations, and Bayesian AI models, today announced its successful completion of SOC 2 Type II attestation, following on from its recently-announced ISO/IEC 27001:2022 certification.  SOC 2 is an information security framework standard published in 2010 by the American Institute of Certified Public Accountants (AICPA), based on the five Trust Services Criteria of Security, Availability, Processing integrity, Confidentiality, and Privacy. The SOC 2 Type II audit, conducted between 1 July 2025 and 30 September 2025 and completed as of 18 December 2025, examined Signaloid’s cloud infrastructure, data processing systems, and operational procedures for compliance with the Trust Services Criteria established by AICPA. The audit was conducted by A-LIGN, a technology-enabled security and compliance partner trusted by more than 4,000 global organizations to help mitigate cybersecurity risks. A-LIGN is the leading provider of high-quality, efficient cybersecurity compliance programs. Combining experienced auditors and audit management technology, A-LIGN provides the widest breadth and depth of services including SOC 2, ISO 27001, HITRUST, FedRAMP, and PCI. A-LIGN is the number one issuer of SOC 2 and a leading HITRUST and FedRAMP assessor. "Congratulations to Signaloid for earning their SOC 2 attestation, a widely recognized signal of trust and security," said Steve Simmons, COO of A-LIGN. "It's great to work with organizations like Signaloid, who understand the value of expertise in driving an efficient audit and the importance of a high-quality final report." This certification extends Signaloid’s security compliance and complements Signaloid’s recently-announced ISO/IEC 27001 certification, achieved on 3 October 2025. Signaloid recognizes the importance of information security and these certifications and attestations demonstrate their commitment to security at every level. It reassures their clients that the security of their data and information has been addressed, implemented, and properly controlled in all areas of the organization. About Signaloid Signaloid provides computing platforms for dramatically reducing the runtime and compute infrastructure requirements of many critical workloads in the finance and manufacturing sectors. Organizations can run their applications over Signaloid's computing platforms and in the process replace time-consuming Monte Carlo simulations with efficient deterministic computations that provide the same probability distribution information. With a range of different deployment methods including a cloud compute platform, optional on-premises deployment, and edge hardware, Signaloid's technology is designed for easy adoption and integration into an organization's information technology infrastructure. For more information about Signaloid, visit https://signaloid.com or visit https://signaloid.com/introduction for a 3-minute introduction to its technology.

Signaloid (https://signaloid.com), a company providing hardware and cloud-based computing solutions targeted at workloads ranging from detecting hallucinations in LLMs, to quantitative finance computations and engineering simulations, today announced its successful completion of ISO/IEC 27001 certification. The certification, completed as of 3 October 2025, includes the following scopes: - Signaloid uses the ISO 27001 Information Security frameworks to identify and maintain the assets, technologies, and processes needed to protect customer information and to help ensure the confidentiality, integrity, availability, and privacy of customer data and supporting services. - The scope of Signaloid’s Information Security Management System (ISMS) includes the assets, technologies, and processes for securely providing infrastructure that enables applications to perform deterministic computations on probability distributions, enabling tasks ranging from solving stochastic differential equations in quantitative finance derivatives pricing and risk estimation, to uncertainty quantification in aerospace engineering simulations. Signaloid’s ISMS scope is defined with consideration of the external and internal context of the organization, requirements of interested parties such as customers and regulatory bodies, and boundaries with third parties. The ISO/IEC 27001 certification was conducted by leading compliance assessor A-LIGN, a technology-enabled security and compliance partner trusted by more than 4,000 global organizations to help mitigate cybersecurity risks. A-LIGN is an ISO/IEC 27001 certification body accredited by the ANSI National Accreditation Board (ANAB) and United Kingdom Accreditation Service (UKAS) to perform ISMS certifications. ISO/IEC 27001 is an information security management system standard published in October 2022 by the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC). "Congratulations to Signaloid for earning ISO/IEC 27001 certification, a widely recognized signal of trust and security," said Steve Simmons, COO of A-LIGN. "It's great to work with organizations like Signaloid, who understand the value of expertise in driving an efficient audit and the importance of a high-quality final report." Signaloid recognizes the importance of information security and this certification demonstrates their commitment to security at every level. It reassures their clients that the security of their data and information has been addressed, implemented, and properly controlled in all areas of the organization.