Summary
- Profile Type
- Technology offer
- POD Reference
- TODE20260826006
- Term of Validity
- 28 August 2026 - 28 August 2027
- Company's Country
- Germany
- Type of partnership
- Research and development cooperation agreement
- Commercial agreement with technical assistance
- Targeted Countries
- All countries
General information
- Short Summary
- A German embedded engineering company offers an agent based platform that converts hardware documentation, source code and development data into actionable engineering workflows for embedded software development. The technology supports hardware enablement, software migration, driver development and engineering automation while enabling secure on premises deployment. Industrial pilot, technical cooperation and implementation partners are sought.
- Full Description
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A German deep-tech company specialised in embedded software and hardware engineering has developed an agent-based engineering platform designed specifically for embedded systems development.
Developing embedded software typically requires engineers to work with large volumes of technical information, including hardware documentation, software repositories, schematics, development tools, test results and hardware logs. Before development can begin, engineers often spend considerable time locating relevant information, understanding hardware dependencies and adapting software to specific devices or architectures.
Existing artificial intelligence coding tools can support software development tasks but are generally designed for generic software environments. They often lack structured access to hardware-specific documentation, engineering processes, development toolchains and physical devices that are essential in embedded systems development. In addition, many organisations are unable to use cloud-based tools for sensitive engineering projects because of confidentiality, security or compliance requirements.
To address these challenges, the company has developed an engineering platform that combines technical information from hardware and software sources and makes it available to specialised engineering agents. The platform can process and structure information from semiconductor documentation, software development kits, hardware descriptions, existing firmware, operating system repositories, build systems and test data.
Based on this information, the platform can support a range of engineering activities, including:
• Generation of initial support packages for new hardware platforms based on technical documentation
• Development and adaptation of software components required to enable hardware functionality
• Migration of embedded software between operating systems and hardware platforms
• Adaptation of existing applications to new processors, devices or product generations
• Automation of build, testing and debugging workflows
• Support for board bring-up, validation and technical documentation activities
The technology is intended for organisations developing semiconductor devices, electronic products and embedded systems in sectors such as industrial automation, consumer electronics, automotive electronics, robotics, energy systems, medical devices and connected products.
A key feature of the solution is its ability to operate within the customer's own infrastructure. The platform is designed for local, on-premises and potentially isolated deployment environments, enabling organisations to evaluate and use AI-assisted engineering workflows without exposing sensitive documentation, source code or hardware information to external services.
The company is seeking international partners for industrial pilot projects, technical cooperation and commercial implementation with technical assistance. These cooperation types were selected because the platform must be validated in real engineering environments involving different hardware architectures, software ecosystems and development processes.
The desired outcome of a partnership is the joint evaluation of clearly defined use cases with measurable technical results. Examples include hardware enablement projects, software migration activities, driver development, engineering process automation or validation workflows. Partners would provide representative documentation, software assets, hardware platforms and engineering feedback, while the technology provider would configure the platform for the selected use case, execute the evaluation activities and document the results.
Following successful validation, cooperation may continue through platform implementation, customisation, integration with existing engineering environments, technical support, training or longer-term development collaboration. The objective is to demonstrate measurable improvements in engineering - Advantages and Innovations
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The technology differs from general-purpose artificial intelligence coding assistants by being designed specifically for embedded software and hardware engineering.
Instead of relying primarily on prompts, it structures and connects hardware documentation, source code, build systems, test results and hardware logs, enabling engineering outputs to be linked to project-specific technical sources.
The platform supports embedded engineering tasks beyond code generation, including hardware enablement, software migration, driver development, board bring-up, validation and engineering documentation.
It is designed to work with development kits, hardware abstraction layers, operating systems, toolchains and debugging environments commonly used in embedded development. It can also incorporate feedback from build and test processes as well as physical hardware.
A further advantage is support for local, on-premises and potentially isolated deployment environments, allowing organisations to retain control over sensitive source code, documentation and hardware information.
Compared with conventional engineering workflows, the platform aims to reduce effort associated with analysing technical documentation, adapting software to new hardware platforms and performing repetitive development tasks while improving traceability and consistency. It can be configured to company-specific architectures, engineering standards and development processes. - Stage of Development
- Available for demonstration
- Sustainable Development Goals
- Goal 12: Responsible Consumption and Production
- IPR status
- Secret know-how
Partner Sought
- Expected Role of a Partner
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The partner should be a semiconductor company, electronics manufacturer, embedded systems developer or research organisation with experience in embedded software, firmware, hardware platforms, operating systems or related engineering processes.
The partner should have a clearly defined engineering challenge suitable for technical evaluation. Relevant use cases may include hardware enablement, software migration, board support package development, device-driver development, board bring-up, testing, validation or engineering-process automation.
For pilot projects and technical cooperation, the partner is expected to:
• Define a technically measurable use case and the desired outcome.
• Provide the documentation, software assets, development tools, build configurations, test outputs and, where appropriate, representative hardware required for the evaluation.
• Nominate embedded software, firmware, platform or system engineering experts to participate in technical reviews and provide feedback throughout the project.
• Evaluate generated software components, configurations, documentation and engineering workflows against existing development practices.
• Assess factors such as engineering effort, development time, output quality, traceability, reproducibility and maintainability.
• Identify limitations, improvement opportunities and additional application areas relevant to their organisation.
For research, development and co-development cooperation, partners are expected to:
• Contribute industrial requirements, workflows and technical challenges to support further platform development.
• Collaborate on new engineering capabilities, workflow automation approaches or platform extensions relevant to their products and development environments.
• Evaluate support for additional hardware platforms, processors, operating systems, toolchains or engineering processes.
Following successful validation in either of the above partnership types, cooperation may continue through implementation and commercial deployment activities. In this phase, partners may:
• Support integration of the platform into existing repositories, toolchains, testing infrastructure and development workflows.
• Define company-specific engineering requirements, coding standards, security policies and deployment conditions.
• Validate local, on-premises or isolated deployment scenarios where protection of source code, hardware information and product documentation is required.
The expected outcome is a jointly evaluated industrial use case demonstrating the applicability of the technology in a real embedded-development environment and establishing a basis for long-term technical cooperation, co-development, platform implementation or commercial deployment. - Type and Size of Partner
- SME <=10
- University
- Big company
- SME 11-49
- SME 50 - 249
- R&D Institution
- Type of partnership
- Research and development cooperation agreement
- Commercial agreement with technical assistance
Dissemination
- Technology keywords
- 01003015 - Knowledge Management, Process Management
- 01003006 - Computer Software
- 01002004 - Embedded Systems and Real Time Systems
- 01003003 - Artificial Intelligence (AI)
- 01003001 - Advanced Systems Architecture
- Market keywords
- 02007016 - Artificial intelligence related software
- 03001001 - Semiconductors
- 02007024 - Programming services/systems engineering
- 02007003 - Operating systems and utilities
- 02007011 - Manufacturing/industrial software
- Targeted countries
- All countries