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Synera. Photo: BusinessWire; NVIDIA NemoClaw. Photo: Official LinkedIn Page<\/p>\nSynera, the agentic AI platform powering the full product development value chain, on June 1st announced it is one of the first companies in the design and simulation space to work with\u00a0NVIDIA NemoClaw, a blueprint for building specialised agents capable of executing long-running engineering workflows safely and securely, at enterprise scale.<\/p>\n
This milestone positions Synera among a select group of software leaders helping shape how agentic AI systems will support engineers across design, simulation and engineering workflows. Combining NVIDIA AI foundation models and blueprint with Synera\u2019s expertise in agentic AI specialised in R&D and mechanical engineering paves the way for autonomous AI agents that could compress simulation and design cycles from weeks into hours, enabling teams to iterate faster and focus human expertise on higher-value exploration and innovation.<\/p>\n
The announcement comes as new research underscores AI\u2019s growing impact on technical and engineering professions. Anthropic\u2019s Report\u00a0Labour Market Impacts of AI: A new measure and early evidence, released in March 2026, found that engineering and computer-related fields are seeing significant AI-driven workflow change, particularly in areas involving repetitive analysis, simulation and technical documentation. The report also notes that AI usage in professional settings remains far below its theoretical potential, signalling significant room for adoption in specialised industries such as manufacturing.<\/p>\n
Synera\u2019s leadership in applying agentic AI to the engineering domain and its experience deploying agentic systems tailored for design and simulation use cases enable it to develop secure, enterprise-ready AI agents that can support longer-running engineering tasks, including simulation execution, results interpretation and end-to-end workflow automation.<\/p>\n
\u201cManufacturers are entering a new era where agentic AI can meaningfully accelerate highly complex end-to-end workflows, and not just individual steps in a process,\u201d said\u00a0Andrew Sartorelli, VP of software partnerships\u00a0at Synera. \u201cThe work Synera has been doing in agentic AI for engineering for years demonstrates how AI agents can help teams move faster, reduce repetitive work, keep quality standards high, and unlock new levels of innovation across design, engineering and simulation.\u201d<\/p>\n
Synera. Photo: BusinessWire; NVIDIA NemoClaw. Photo: Official LinkedIn Page<\/p>\n
\u201cEngineering and design teams are constrained by repetitive analysis and long-running simulations that can slow product development,\u201d said\u00a0Tim Costa, vice president and general manager of computational engineering\u00a0at NVIDIA. \u201cWith the NVIDIA NemoClaw blueprint, Synera can help enterprises deploy autonomous AI agents that continuously reason, plan and execute complex engineering workflows at scale.\u201d<\/p>\n
Unlike consumer-oriented AI assistants, the NVIDIA NemoClaw blueprint is designed for developers building enterprise deployments, emphasising secure runtime environments, domain-specific skills and long-duration task execution. The architecture is intended to support AI systems capable of operating continuously across engineering workflows that may span hours, days or weeks.<\/p>\n
The collaboration marks another milestone in Synera\u2019s growing ecosystem of partnerships across the enterprise software landscape, which today includes partners like Autodesk, Cadence, PTC, Siemens, and many more, reinforcing the company\u2019s position as being at the forefront of agentic AI for the engineering domain. Synera anticipates making available the capability to deploy using the NVIDIA NemoClaw blueprint to customers in H2 2026.<\/p>\n
Source<\/a><\/p>\n More related news:<\/p>\n Aurora, Continental, And NVIDIA Partner To Scale Up Driverless Trucks<\/a><\/p>\n Torc Partners with Flex and NVIDIA to Build Physical AI Platform for Autonomous Trucks<\/a><\/p>\n