Sovereign, scalable AI designed to meet industry’s security and performance needs
SERMA helps industrial organisations deploy private, sovereign AI to improve team performance and make better use of their technical and business knowledge, while retaining control of sensitive data.
Private conversational AI, a Knowledge Management System (KMS) and on-premises AI servers: three complementary offerings, available individually or together to suit your needs.
Improve performance today. Build the AI capabilities you need for tomorrow.
Benefits
for your business
Private AI that supports your data, your teams and your day-to-day operations.
Cost
control
• No per-query or per-token charges
• No cloud service subscription
• Computing capacity sized for your workloads
• Infrastructure and operating costs defined during project scoping
• Infrastructure that can be shared across teams and future AI projects
Everyday
productivity
• Assistance with writing and rephrasing
• Analysis and summarisation of documents supplied by users
• Comparison of documents and data authorised for use by your organisation
• Software development assistance
• AI assistants tailored to specific business functions
Security and control over your data
• Data hosted and processed on your premises
• Queries processed locally, without relying on a public AI API
• Control over access and user permissions
• Protection of your intellectual property
Three complementary AI offerings,
combined to suit your needs
Choose a single offering or combine them to build a solution that fits your use cases.
ON-PREMISES
AI SERVER
Dedicated computing infrastructure deployed on your premises to run AI locally.
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• Computing capacity tailored to your workloads
• On-site data hosting and processing
• Control over your infrastructure
• Data sovereignty
• Access and usage governance
• No cloud computing subscription
KNOWLEDGE MANAGEMENT SYSTEM
Organise your knowledge and make your company’s expertise accessible to your teams with a KMS.
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• AI-powered use of your documents
• Intelligent search with source references
• Capture and sharing of know-how
• Answers tailored to your organisation’s context
PRIVATE CONVERSATIONAL AI
On-premises AI that supports your teams’ daily work within your own infrastructure.
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• Control over your infrastructure
• Data sovereignty
• User access management
• Assistance with writing, analysis and summarisation
• AI assistants tailored to specific business functions
• No per-token charges
Practical use cases
for industrial teams
PRIVATE AI + KMS + STRUCTURED DATA FOUNDATION
Manage your business through natural-language queries:
identify where profitability is falling and why
YOUR NEED
“Which projects are losing margin, with which customers, and why?”
A seemingly simple question that usually means navigating dozens of applications, hundreds of tables and thousands of documents. Information is scattered across ERP and CRM systems, accounting, procurement and project management tools, Excel files and business reports.
WITH OUR AI
Connected to a KMS and a structured data foundation, our private AI brings together your business data and knowledge through a single conversational interface. It links information from different systems, combines financial and operational data, compares forecasts with actual results and identifies potential causes of declining profitability: cost overruns, excess hours, unplanned purchases, delays or unbilled services.
YOUR BENEFIT
Turn the complexity of your information systems into a resource for better business decisions. Identify where profitability is being lost, understand the underlying causes and make informed decisions, without tying up your teams for days searching for and consolidating information.
PRIVATE AI + INTELLIGENT AGENTS
Detect cyber threats and accelerate analysis
YOUR NEED
A Security Operations Centre (SOC) receives thousands of events every day from its monitoring sensors. Identifying genuine threats, correlating alerts and investigating incidents takes considerable time.
WITH OUR AI
Using our private AI platform, we have developed a chain of intelligent agents that analyses and correlates data from different sensors, checks it against the latest known vulnerabilities and cyber threats, and generates structured investigation reports with prioritised risks and recommendations for further analysis.
YOUR BENEFIT
Accelerate investigations, focus your experts on priority threats and preserve the confidentiality of sensitive data, without incurring external AI API charges for every analysis.
PRIVATE AI + KMS
Unlock and share your organisation’s collective expertise
YOUR NEED
Technical reports, scientific studies, procedures, reference frameworks and lessons learned: decades of expertise are scattered across thousands of documents and systems, often difficult to access and underused.
WITH OUR AI
Connected to the KMS, our private AI makes this knowledge accessible to your teams through natural-language queries, in line with their access permissions.
AI retrieves and cross-references information, facilitates the sharing of good practice, compares technical solutions and helps assess their compliance with internal requirements and reference frameworks, using verifiable sources.
YOUR BENEFIT
Build on your collective know-how, make it easier to pass on and share knowledge across your organisation. Accelerate analysis, align working practices and enable every employee to benefit from expertise accumulated over the years.
A scalable approach:
start with your needs and expand at your own pace
Invest in a sovereign AI platform that meets today’s needs and lays the foundations for future use cases.
Build on this foundation to progressively extend your use cases and scale AI across your organisation.
4
Future AI agents and automation
Progressively add workflows, agents and business applications. Create new opportunities to improve performance.
3
AI connected to your knowledge
Adapt your AI assistant to business-specific needs.
2
Knowledge management
KMS: centralise, organise and retrieve your internal knowledge.
1
Private AI assistant
Local generative AI. Immediate productivity gains in everyday tasks.
AUTOMATE
CONNECT
STRUCTURE
START
Sovereign AI
within your infrastructure
How does on-premises AI work on your local servers?
Internet search features and connections to external tools involve data exchanges with the relevant services. These data flows must be defined and governed in accordance with your security policy.
SERMA: AI designed and proven
by industrial experts, for industry
Our AI offering draws on the Group’s industrial expertise and two years of development and real-world use within SERMA.
Expert
in electronic and cybersecurity
for critical systems.
+2
years
of development and continuous improvement through real-world use.
1500
employees
working every day on demanding, confidential industrial projects.
+35
years of experience
supporting the most demanding industries.
How do we deploy
your private AI platform?
03
Phased deployment
On-premises production deployment, support and progressive scaling.
02
Tailored demonstration
Proof of concept using a representative subset of your data.
01
Scoping workshop
Identify your priority use cases and technical constraints.
FAQ
Frequently asked questions about private, sovereign and on-premises AI.
What is the difference between private, local and sovereign AI?
Private AI is reserved for your organisation. Access and usage are governed by each user’s profile and permissions.
Local AI runs on servers within your own environment. Models process your data there, without requiring it to be sent to a remote AI service.
Sovereign AI enables you to retain control over sensitive and strategic data, technology choices and operating conditions. It aims to reduce dependencies imposed by third-party providers by maintaining control over hosting, access, licences, costs and maintenance.
How does on-premises AI work?
On-premises AI runs within your own infrastructure. The large language model (LLM) uses the computing capacity of a dedicated AI server to process queries and generate responses. This process, known as inference, takes place without calling a public AI API.
You can connect your private AI to your data and business tools where supported, or develop your own tools. This allows you to apply AI to sensitive data without token-based usage charges, while reducing your dependence on a third-party provider.
Is data sent to an external service?
With local processing, your queries and uploaded documents are processed within your infrastructure rather than being sent to a public AI API.
Some features, such as web search or connections to external tools, do require exchanges with other services. The information transmitted depends on the features and their configuration; these data flows must be defined during project scoping.
How can you retain control over data confidentiality?
Confidentiality relies on several complementary measures: local processing, access management and controlled external connections.
Public AI services can raise concerns about transparency and “black-box” processing: you may lack direct visibility into how your data is stored, used and accessed. Transparency and control throughout the data lifecycle are therefore essential.
Project scoping defines which data may be used, who is authorised to access it and which services the assistant may connect to. This establishes usage rules aligned with the sensitivity of your information and your security policy.
Which documents and tools can be connected to the KMS?
The Knowledge Management System (KMS) helps you make better use of company knowledge, including technical documents, procedures, standards, business reference frameworks and document repositories.
Depending on available connectors and the agreed scope, it can also connect to databases, CRM systems and other information systems. Supported formats, connection methods and update frequency are defined during the project assessment.
How does the KMS help AI make full use of your knowledge?
Within a company, decades of knowledge are scattered across ERP systems, databases, business tools and thousands of documents that are often siloed, inconsistent and difficult to use.
Even a powerful AI model cannot simply ingest all this data and automatically understand its meaning. It is constrained by its context window, the quality of available information and the risk of hallucinations. Without appropriate structuring, adding more data does not guarantee better answers.
The KMS addresses these limitations by organising knowledge and combining retrieval-augmented generation (RAG) with GraphRAG. It retrieves relevant information, establishes relationships between documents, data and business concepts, and provides the context AI needs to produce more relevant analysis.
Your information assets become accessible through natural-language queries, with contextualised answers supported by verifiable sources, while you retain control over sensitive data.
What infrastructure is required?
Infrastructure requirements depend on the selected models, required features, number of concurrent users and volume of documents to be processed.
SERMA assesses your computing, memory, storage and networking requirements to size the solution that best fits your needs.
How are access permissions managed?
Our platform can integrate with your corporate directory (Active Directory or LDAP), using existing user accounts and groups.
Access governance allows permissions to be defined by profile, role or department, controlling the features and knowledge available to each user.
When combined with the KMS, this approach respects permissions for internal documents and data, using your company’s security rules without having to manage every user individually.
What deployment and operating costs should you budget for?
Your budget depends on the offerings selected: private conversational AI, KMS and on-premises AI servers, available individually or together to suit your project.
Deployment may include infrastructure, installation, configuration, connections to internal tools and support for your teams. Operating costs include energy, maintenance, support and any applicable licences, depending on the contractual scope.
SERMA’s private conversational AI offering has no per-query or per-token charges. Solution sizing and the services selected determine a budget suited to your use cases.
Let’s discuss your sovereign AI project
SERMA’s areas of expertise
Safety and cybersecurity
• Governance, consulting and compliance
• Offensive security
• Defensive security
Embedded systems engineering
• Consulting
• Engineering studies
• Production
• In-service support
Energy
• Performance, reliability and qualification testing
• Analysis, consulting and expertise
• Engineering
Electronics and materials technologies
• Electrical testing and environmental testing
• Physical analysis
• Surface analysis
• Reverse engineering
• Consulting and training
Cybersécurité et sûreté de fonctionnement
• Gouvernance, conseil et conformité
• Sécurité offensive
• Sécurité défensive
Ingénierie des sytèmes embarqués
• Conseil
• Études
• Production
• Maintien en conditions opérationnelles
Energie
• Essais de performance de fiabilité et de qualification
• Analyses, conseil et expertise
• Ingénierie
Technologies de l’électronique et des matériaux
• Tests électriques et essais environnementaux
• Analyses physiques
• Analyses de surface
• Reverse engineering
• Conseil et formation