Modular engineering
Select specialist Labs and capabilities for each project.
ORTHEVS — FATHOM NEW HORIZONS
Understand complexity Expand horizons
Engineering Beyond Boundaries. Orthevs is conceived as a modular technology and engineering ecosystem: specialist applications, reusable foundations and controlled execution support solutions from first idea through ongoing evolution.
- Cross-disciplinary
- Lifecycle-oriented
- Open & extensible
AMELAI & ML
BCELBlockchain
SELSecurity
PELPlatform
IELInfrastructure
OSELOperating System
What is Orthevs?
From requirements to technology products.
Orthevs aims to make technological solutions understandable, developable, verifiable and operable throughout their lifecycle. A shared engineering context links domain applications, resources, decisions and outcomes while preserving domain autonomy.
Unified lifecycle
Keep requirements, architecture, execution and operations connected.
Technology independence
Connect custom components and existing technology through defined interfaces.
Existing engineering activities across the lifecycle
Explore ideas and design systems
Requirements, models, architectures and technical decisions are developed transparently and retained as versioned engineering artifacts.
Create technologies and capabilities
Labs combine their Factories as specialist tools with native or integrated Engines to form reproducible engineering flows.
Test, evaluate and qualify
Function, security, quality, performance, resilience and recovery are evaluated against transparent criteria with reproducible evidence.
Deliver and connect with control
Technologies are integrated into different target environments, approved and transferred into operation through traceable handovers.
Operate, observe and secure
States, events, policies, risks and service objectives remain visible and governable through shared platform services.
Improve, modernize and evolve
Operational insight feeds back into new releases, adapted baselines and the next engineering cycle under version control.
Defined engineering lifecycle · target architecture
From idea to technology product.
Structured discovery is intended to turn requirements into versioned Engineering Contracts. Foundations, architecture, capabilities and validation then form a continuous path. This is the target model; full automation is not yet available.
- 01
Discover
Clarify ideas and requirements through structured questions.
- 02
Define
Record goals, boundaries and decisions in an Engineering Contract.
- 03
Design
Model architecture and select suitable Foundations.
- 04
Engineer
Build artifacts with Labs, Factories and Engines.
- 05
Validate
Evaluate simulations, dry runs, tests and evidence.
- 06
Deploy & Operate
Deploy, observe and operate approved solutions.
- 07
Evolve
Evolve products and engineering foundations under version control.
Engineering Labs
Specialist applications. One engineering context.
Each Engineering Lab is designed as an independent domain application and SDK-like interface for a specialist discipline. Workspaces, editors and programmatic interfaces expose its Factories. Labs can run separately or collaborate through documented Contracts.
AMEL
AI & ML Engineering Lab
Develop and evaluate data, algorithms, models, experiments and inference architectures.
BCELBlockchain Engineering Lab
Design distributed ledgers, blockchain networks, smart contracts and protocols.
OSELOperating System Engineering Lab
Engineer operating systems, kernels, packages, distributions, images and VM tests.
IELInfrastructure Engineering Lab
Develop infrastructure resources, networks and physical or virtual topologies.
PELPlatform Engineering Lab
Engineer platforms and clusters through design, deployment, operations and evolution.
SELSecurity Engineering Lab
Develop security architectures, controls, policies and validation methods.
Foundations & Standards
Structure engineering knowledge for reuse.
Universal Engineering Foundations combine versioned models, rules, workflows, tests and implementations. Requirements and constraints guide their selection and produce an approved project baseline. Factories provide capabilities; Engines process, calculate and execute.
Versioned solution template
Scope, processes, workflows, capabilities, reference architecture and operational knowledge are maintained as one coherent, adaptable solution blueprint.
Transparent evaluation, not blanket claims
Reviews, reproducible tests and security, operations and quality gates create versioned evidence for a clearly bounded scope.
Shared foundation – individual context
Organizations adopt a Foundation under control, add parameters and extensions, and document deviations, approvals and upgrade decisions.
Engineering building blocks · target model
Four concepts, one traceable solution path.
A Contract resolves a suitable Foundation into an approved Baseline. Factories and Engines supply the required capabilities and execution steps.
- 01
Foundations
Reusable engineering knowledge, models, rules and workflows.
- 02
Baselines
Concrete, versioned and approved system definitions.
- 03
Factories
Specialist Lab tools for creation and processing.
- 04
Engines
Mechanisms for processing, computation, orchestration and execution.
Foundation as a solution blueprint
From versioned design to an operable solution
A Foundation preserves more than an outcome: it preserves the traceable route to the solution. It translates the design into processes and workflows and binds the right capabilities to them.
Design as Code
Goals, requirements, architecture, assumptions and success criteria are described in a structured, versioned form.
The engineering model connects knowledge and delivery
Parameters and guardrails keep the blueprint adaptable while its origin, handoffs and mandatory rules remain traceable.
ProcessesRoles, states, handoffs and approvals.
WorkflowsSteps, conditions, dependencies and failure paths.
CapabilitiesLabs, their Factories and Engines through versioned Contracts.
Solution as Code
The complete solution includes technical artifacts, configuration, operating model, evidence and lifecycle.
A Foundation is a general, versioned engineering model. It can contain architectural knowledge, requirements, rules, workflows, tests and implementations. A Baseline is the evaluated and fixed selection of these foundations for a specific Contract, making the solution reproducible.
Qualification & approval
From a Foundation idea to a maintained catalog reference
Mandatory gates cannot be offset by an aggregate score. Failed reviews or tests lead back into controlled revision.
- 1Foundation Draft
- 2Architecture Review
- 3Integration & Functional Tests
- 4Security, Recovery & Performance Gates
- 5Evidence Pack
- 6Internal Approval
- 7Catalog Publication
- 8Maintenance & Requalification
Organization Baseline
A shared Foundation becomes a deliberately adapted organizational baseline
Origin, parameters, extensions, exceptions, approvals and upgrade decisions remain traceable throughout the lifecycle.
- 1Select & Assess
- 2Organization Baseline
- 3Tailor & Extend
- 4Validate & Approve
- 5Deploy & Adopt
- 6Operate & Measure
- 7Update & Requalify
Example · Cross-domain Foundation
A Foundation connects processes and workflows across multiple Labs into a verifiable solution blueprint
The Enterprise Kubernetes Foundation example shows how infrastructure, operating system, platform, security and operations combine their capabilities in one solution workflow with integrated quality gates.
Input · Engineering ContractRequirements, constraints and success criteria
FoundationEnterprise Kubernetes
Solution workflow
- 1Target design & parameters
- 2Provision infrastructure
- 3Apply OS baseline
- 4Configure cluster
- 5Integrate security & operations
- 6Validate complete solution
Quality GatesIntegrated architecture, security, recovery and operations checks
Organization baselineApproved, adapted organizational foundation
“Orthevs-qualified” refers to the planned internal qualification against transparent criteria. It is not a claim of independent certification or automatic regulatory compliance.
Logic-driven automation · target architecture
Automation by Design. Intelligence by Extension.
Declarative state models, rules and versioned workflows are intended to control engineering processes transparently. Users can choose manual, assisted or automated paths. AI may assist but is not required for core execution.
- 01Manual
- 02Assisted
- 03Automated
Orthevs Everywhere
Engineering across infrastructure boundaries.
The modular Core and independent Labs are designed for workstations, servers and distributed environments. Federation preserves each instance's authority. Orthevs OS is a long-term vision for an integrated desktop.
Engineering on site
Platform Core, selected Labs and capabilities run on a workstation, VM or single server, including isolated environments.
Scalable and distributed
Private or public cloud environments provide scalable workloads, shared resources and highly available services.
Integrated operating system
A dedicated distribution with Orthevs Runtime and a shared web, desktop, CLI and TUI experience as a long-term target.
Collaborate through federation
Local, cloud and OS instances exchange capabilities, events and artifact references under control without dissolving their trust boundaries.
This is a design baseline. Discovery, autonomous Contract execution, comprehensive simulation, federation and Orthevs OS are target capabilities, not generally available product features.
System architecture
Modular at the core. Connected by Contracts.
A hybrid modular Core connects Experience, resources, Contracts and shared control. Independent Labs provide domain environments; Factories and Engines provide capabilities and execution. Deployment may be local, distributed or federated.
ArchitectureStrategic target modelORTHEVS ECOSYSTEM
Platform CoreRuntimeExperience
Local ServiceCloud ServiceOrthevs OSConnected
Platform Core
Identity, registry, policy, audit, projects, tenants, secrets, events, state, workers and artifacts form the shared governance, runtime and integration foundation.
Engineering Labs
Labs combine domain applications, workbenches and SDK-like interfaces. They own their disciplines and expose Factories through Contracts.
Factories & Engines
Factories are the specialist engineering tools of a Lab. They may be provided as plugins, packages, services or adapters and use Engines for processing and execution.
Foundations, standards & solution workflows
Versioned engineering models connect knowledge, architecture, rules and workflows. An evaluated Baseline fixes the project-specific selection.
Research & Design
Build & Engineer
Test & Validate
Deploy & Operate
Factory Portfolio
Engineering Capability Portfolio · 272 conceived capabilities
The portfolio maps planned Factories as specialist Lab tools. Their records describe responsibility and the target model, not universally available features. Version, maturity, qualification profile and evidence are intended to show each Factory’s actual status.
Foundations · Wiki · Tools · Engines · Academy
Explain solutions, knowledge and execution separately – connect them deliberately
Dedicated sections show the role Foundations, wiki knowledge, tools and engines play in the Orthevs system. Every entry states its goal, integration, maturity and explicit boundaries.
Foundations & Standards
A Foundation is a versioned engineering model that can connect knowledge, architecture, rules, workflows, tests and implementations. Requirements guide selection; an evaluated Baseline fixes the concrete solution reproducibly.
Open details ↗Orthevs Wiki
The wiki brings together the complete documentation for every Academy workshop and explains core technologies, architecture terms and engineering principles.
Open details ↗Tools
The specialist tools in Orthevs are the Factories of its Engineering Labs. This catalog explains external technologies a Factory may use through adapters or native implementations. Contracts keep function, version and boundaries explicit.
Open details ↗Engines
Engines are specialist mechanisms for processing, computation, simulation, orchestration and execution. They use versioned definitions and are integrated into engineering processes through authorized capabilities and controlled contracts.
Open details ↗Orthevs Academy
The Academy organizes 15 technical workshops into consistent learning paths. Each workshop combines foundations, exercises, assessments and 31 practical modules with a fully traceable material structure.
Open details ↗Principles
Technological freedom through clear architecture
Clear responsibilities, versioned contracts and verifiable outcomes create room for native development, integration and continuous evolution.
Modularity over monoliths
Labs and Factories can be developed, versioned and operated independently.
Contracts over implicit coupling
Versioned APIs, events and Capability Contracts make collaboration explicit.
Traceability from the start
Concepts, process chains, runs, configurations, artifacts and provenance form one engineering result.
Security as a platform concern
Identity, secrets, policies and auditing are shared concerns instead of being reinvented by every Lab.
Evaluation before approval
Simulations, tests and measurements show where a Foundation is suitable and where its limits lie.
Shared foundation, individual context
Organizations share proven approaches while adding their own policies, providers, target environments and approvals.
Deployment freedom
Capabilities are intended to remain usable on single servers, clusters and, over time, in Orthevs OS.
Continuous evolution
New technologies, insights and requirements flow back into versioned systems and Foundations under control.
Project status
A target model built through verifiable steps.
The architecture roadmap states an order for technical proof, not delivery dates. Each stage should be checked against working Contracts, tests and traceable outcomes.
- 01
Core & Contracts
Define resource model, Capability Contracts, modules and security boundaries.
- 02
Discovery & Foundations
Turn requirements into Contracts and resolve suitable foundations into Baselines.
- 03
Reference Lab
Prove an end-to-end flow with workspace, Factory, validation and artifact.
- 04
Connection & OS
Connect Labs, validate distributed execution and federation; develop Orthevs OS over time.
Engagement models
A vision that grows from clear foundations
Orthevs is building its technological foundation. Engagement therefore follows a traceable scope and the next verifiable outcome — not already-claimed standard editions.
Target model & scope
A concrete problem is translated into requirements, system boundaries, architecture decisions and a realistic first engineering slice.
- Architecture and requirements analysis
- Selection of Labs and Factory plugins
- Risks, invariants and evaluation criteria
- Prioritized development roadmap
Working modelClearly bounded entry point
Foundation Engineering
A selected reference solution is developed into a versioned Foundation with architecture, processes, implementation, tests and an operating model.
- Platform Core and shared services
- Selected Labs and Factory plugins
- Security, quality and operations gates
- Documentation, evidence and lifecycle
Working modelVerifiable milestones
Engineering Partnership
Foundations and Organization Baselines are adapted, operated, updated and requalified under control as knowledge evolves.
- Prioritized Factory-plugin roadmap
- Architecture and implementation support
- Quality, security and governance
- Versioning, reviews and requalification
Working modelContinuous lifecycle
These models describe possible forms of engagement at the current stage of development. They are not published standard editions or flat-rate product offers.
Fathom new horizons
The future of technology is not a single product
It emerges from the interplay of ideas, people, systems and disciplines. Explore technology. Engineer possibilities. Fathom new horizons.