axem solutions
axem is a team of engineers building sovereign, secure AI products for highly regulated and mission-critical industries. Its platform lets organizations run models, agents, knowledge retrieval and coding assistance on infrastructure they control, including on-premise and air-gapped environments.
At a Glance
- Defense
- Aerospace and space
- Automotive and embedded systems
- Critical infrastructure
- +6 more
AI Tools by axem solutions
(1)
shaide
Self-Hosted AI for Kubernetes
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Latest News
Axem open-sourced the core of shaide under Apache 2.0, making the self-hosted community edition available for on-premise and private-cloud deployment.
Axem published its air-gapped AI infrastructure position for defense, aerospace and regulated industries.
Axem published an overview of how controlled AI can transform safety-critical software development through requirements, testing, traceability and assurance.
Axem compared generic AI coding tools with regulated-industry platforms, emphasizing governance, security, traceability and audit evidence.
Products & Services
An open-source, self-hosted sovereign AI platform for serving multiple AI models at scale on customer-owned Kubernetes clusters, including fully air-gapped clusters. It packages model serving, orchestration, gateway, registry, application services and observability as an installable infrastructure-as-code platform.
A sovereign AI coding agent for regulated software development, with offline/on-premise deployment, requirement-aware code generation, code completion, refactoring, test generation, documentation, agent mode and flexible IDE and LLM support.
A controlled conversational AI agent for high-security teams, providing private knowledge retrieval, explainable and auditable responses, permission-controlled knowledge management and secure connections to internal systems.
A packaged on-premise AI appliance combining enterprise AI hardware with the shaide platform. Packages are configured for evaluation/small teams, multi-team scale and enterprise workloads, with deployment guidance and support.
Market Position
Axem positions itself between generic cloud AI/coding assistants, which optimize individual productivity but may not provide sovereignty or auditability, and very large, expensive platform deployments such as Palantir-scale implementations. Its differentiation is a deployable, Kubernetes-native, open-source and air-gap-capable platform combining model serving, private knowledge, agents, governance and observability for regulated organizations.
Leadership
Founders
Eszter Vezdén
Co-founder and CEO. Before co-founding axem, she worked in safety-critical development, product management and project management.
János Murai
Co-founder and CTO. He is an embedded/software engineering leader and holds a master's degree from Budapest University of Technology and Economics; his public profile identifies him as Techstars '25.
Executive Team
Eszter Vezdén
Co-founder and CEO
Background in safety-critical development, product management and project management.
János Murai
Co-founder and CTO
Embedded/software engineering background and master's degree from Budapest University of Technology and Economics; public profile identifies him as Techstars '25.
Founding Story
The founders started axem to bring modern technology to regulated industries and close the productivity gap between critical-system builders and less regulated sectors. The initial vision was to help teams building defense, aerospace, automotive and other critical systems move faster without sacrificing security, compliance, traceability or control of sensitive data.
Business Model
Revenue Model
The shaide community core is free and open source, while axem monetizes enterprise features, enterprise deployment/onboarding and updates, priority support/account management, custom features, and sales of configured LLM Box hardware plus deployment and integration services.
Pricing Tiers
Ongoing community license; hosted on-premise or in a private cloud with the community feature set enabled.
Enterprise Knowledge Management, enterprise user management, custom features, enterprise onboarding and updates, priority support and account management.
Evaluation and small-team package; supports models up to 400B parameters and up to 20 users.
Scaling package; supports models up to 500B parameters and up to 50 users.
Enterprise package for high-volume workloads, multiple models, large knowledge bases and 50+ users; supports models up to 1T parameters.
Target Markets
- Defense
- Aerospace and space
- Automotive and embedded systems
- Critical infrastructure
- Public sector
- Semiconductor design
- Secure AI assistants and coding agents for defense and aerospace software teams
- AI deployment in air-gapped or disconnected environments
- Safety-critical automotive and embedded software development
- Private enterprise knowledge retrieval and operational decision support
- Multi-model inference and AI-agent fleets on customer-owned Kubernetes clusters
- Compliance, traceability, testing and evidence generation for regulated software