Semios
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About
Semios is an advanced artificial intelligence platform specifically engineered for systems engineering and technical documentation. It utilizes Natural Language Processing (NLP) to conduct deep semantic analyses of requirements and procedure documents. The primary objective is to enhance editorial quality, minimize project risks, and accelerate time-to-market by ensuring that technical specifications are clear, precise, and compliant with international standards. Unlike generic AI models, Semios provides reproducible and explainable results based on validated engineering norms, making it suitable for safety-critical environments. The solution is built around several core modules including semantic diagnostics, automated reformulation, and AI-driven requirement generation. It also features advanced tools for checking the consistency between different requirements and identifying over- or under-specification within a project. In practice, Semios integrates directly into established workflows, providing add-ins for Microsoft Word, Excel, and popular Application Lifecycle Management (ALM) tools like Siemens Polarion and IBM DOORS. This allows users to trigger analyses with a single click, receiving immediate alerts based on a library of over 80 pre-configured detection rules derived from global standards. This tool is designed for high-stakes industries where technical precision is critical, such as aeronautics, defense, space, medical devices, and cybersecurity. It serves a wide range of stakeholders, including project owners, contractors, and subcontractors who manage complex systems. Large organizations like SNCF, CNES, and EDF utilize the platform to manage massive volumes of data—sometimes hundreds of thousands of requirements—where manual review would be prohibitively time-consuming or prone to human error. The system helps bridge the gap between senior experts and junior writers by providing real-time feedback and educational comments. What sets Semios apart from general-purpose large language models is its focus on reproducibility and security. Every analysis result is explainable and follows validated engineering standards like ISO, IEEE, and INCOSE. Security is a major differentiator; the system is designed to ensure that sensitive technical data is neither stored nor transmitted over the internet, addressing the confidentiality concerns of defense and aerospace firms. Furthermore, the platform is highly customizable, allowing companies to integrate their own specific business rules or use the engine as a white-label solution via API.
Pros & Cons
Extremely fast analysis speeds of approximately 0.2 seconds per requirement.
No data is stored or sent to the internet, providing high security for sensitive projects.
Supports major international engineering standards like ISO, IEEE, and INCOSE out of the box.
Measurable productivity gains of 30% to 50% for writing and review circuits.
Explainable AI results that provide educational feedback rather than just automated changes.
Pricing is not public and requires contacting the sales team for a custom quote.
The specialized focus on systems engineering makes it less relevant for non-technical documentation.
Requires high-level technical expertise to properly configure custom business rules.
Full feature set for consistency and extraction is scheduled for late 2024 and 2025.
Use Cases
Systems engineers in aeronautics can automate the verification of thousands of requirements against ISO standards to ensure safety and compliance.
Technical writers in the defense sector can use the reformulation module to standardize editorial quality across distributed teams.
Project managers at large utilities like EDF can identify under-specified or over-specified project documents to reduce contractual risks.
Quality assurance teams in the medical device industry can perform consistency checks between parent and child requirements via integrated ALM tools.
Platform
Features
• automated requirement generation
• white-label api access
• normative compliance (iso, ieee)
• alm integration (doors, polarion)
• completeness and specification check
• requirement consistency analysis
• ai-powered editorial reformulation
• semantic document diagnostics
FAQs
What standards does Semios support for technical writing?
Semios is built upon validated systems engineering standards including ISO, IEEE, and INCOSE. It provides over 80 pre-configured rules based on these international standards to ensure editorial quality.
Which software tools can Semios integrate with?
The platform offers direct integrations for Microsoft Word and Excel, as well as specialized ALM tools like Siemens Polarion, IBM DOORS, and IBM DOORS NG.
How does Semios ensure the security of sensitive technical data?
The software is designed so that analyzed information is never stored or transmitted over the internet. This makes it suitable for sectors with high confidentiality requirements like defense and space.
Can I use my own specific business rules for document analysis?
Yes, Semios is highly customizable and can be configured to take into account your own personalized business rules and technical lexicons. The team provides services to tune the tool to your specific needs.
Is it possible to test the software before purchasing a license?
Potential clients can request a demo or a Proof-of-Concept (PoC). These trials allow teams to measure the specific time gains and quality improvements on their own documentation.
Pricing Plans
Custom Enterprise
Unknown Price• Semantic diagnostic of requirements
• AI-powered writing reformulation
• Automated requirement generation
• Coherence and consistency diagnostics
• Extraction from norms and specs
• Integration with Word and Excel
• Integration with Polarion or IBM DOORS
• 80+ built-in detection rules
• Custom business rule configuration
• On-premise or secure cloud deployment
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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