Durable execution
Work that can resume.
Executions retain their state, steps and outcomes, so work can be followed and resumed under control after an interruption.
Skyeos Core / Technology
Business knowledge, access and execution come together. AI moves work forward while people retain oversight and decision-making.
Explore the architecture
Intelligence beneath the experience
Every useful AI application depends on concrete responsibilities. This is the technical foundation of Skyeos.
Design principle · Neuro-symbolic AI
Generative AI makes product knowledge accessible. Explicit rules govern calculations and checks. In a connected application, this gives NEXUS a defined role in the product process.
NEXUS helps explore a question, interpret permitted information and prepare a next step.
Configured product rules determine which combinations fit and how quantities and prices are calculated.
Your team manages the product knowledge. Permissions and agreed approvals determine which changes and actions go ahead.
Neuro-symbolic AI combines neural models, such as language models, with explicit knowledge and logical rules. At Skyeos, it describes the design principle behind the collaboration between AI and product logic. What NEXUS can access or act on is configured for each application.
Deterministic means the same inputs and rule version produce the same result. The quality of that result still depends on the source data and rules. Testing and expert review therefore belong within product management.
The public demo illustrates product management with fictional example data.
01 / The engineering foundation.
From an initial proposal to an external action: authority, progress and outcome each have their own place.
Durable execution
Executions retain their state, steps and outcomes, so work can be followed and resumed under control after an interruption.
Human oversight
Where permission is required, the proposed action is presented for review. Approval remains bound to the content of that action.
Access control
Identity, roles and permissions define which data and actions are available. The model does not grant itself those rights.
Reviewable engineering
Version control, automated checks and maintained architecture documentation make changes traceable and reviewable.
Execution state and checkpoints preserve progress. An append-only event history records steps and outcomes. Retries follow controlled rules; idempotency limits repeated processing where the execution path supports it. An uncertain external outcome requires review before resuming. Model proposals, authority and actual execution remain separate steps.
Engineering discipline
Your organisation keeps building on its platform. We connect software changes to consistent checks, versions and documentation, so quality remains reviewable with every new release.
Automated tests
An extensive test suite checks access boundaries, approvals and execution behaviour, among other areas. Changes are checked against behaviour that already works.
TypeScript · strict
Strict type checking examines how data and functions fit together during development and build. Interface changes become visible wherever other code depends on them.
Architecture parity
Code changes must be accompanied by architecture documentation. A separate check verifies that the generated architecture overview is up to date.
Continuous integration
Type checking, linting, tests, architecture checks and the application build run together in CI. Their results remain tied to the software version being assessed.
These checks make development and maintenance easier to assess. Acceptance in the customer environment remains part of each implementation.
02 / The architecture of Skyeos Core
Four architecture pillars connect business knowledge, customer boundaries, improvement and accountability.
Memory Fabric
The memory design connects current working context, past events, business facts and approved procedures. Sources, ownership and validity keep knowledge traceable. New lessons pass through review before they influence actions.
Current working context, episodic events, semantic business facts and procedural ways of working each have a distinct role in the memory design.
Provenance, access and validity determine which knowledge an execution may use. A new lesson starts as a proposal for review.
Customer Cells
The cell model is designed to keep data, memory, access and execution within one customer boundary. Central software development combines with scoped operations, recovery and data management. The physical setup follows the requirements of the implementation.
The target architecture treats identity, data, memory and execution as parts of the same bounded environment.
Recovery, retention, export and deletion belong in the design of that boundary. The technical and physical setup is defined for each implementation.
Controlled Improvement
The proposed improvement loop turns signals from work into testable proposals. Evaluation and a human decision precede a controlled trial. Versions, measured results and a rollback path keep changes governable.
The design separates observation, proposals, evaluation and decisions. A candidate reaches a controlled trial only after review.
Results are tied to a version. A previous version and explicit stopping criteria belong in the proposed improvement process.
Causal Execution Ledger
Existing execution ledgers provide the foundation for a connected record of triggers, decisions, approvals and outcomes. The target architecture links these events to make work easier to reconstruct. An uncertain outcome calls for review before retrying.
In the target architecture, triggers, decisions, approvals and outcomes should refer to one another so their relationship can be examined.
The design distinguishes rebuilding a work history from repeating an external action.
03 / Your environment
Every customer gets their own hosting environment and database. Skyeos Core provides intelligence through agreed connections. Roles, source selection and permitted processing determine which context a model or agent can use.
Processing locations, model providers, retention and recovery follow the implementation requirements. Having a dedicated database does not by itself mean every inference occurs in that same environment.
Core and your customer environment ↗04 / Agentic internet
New customer journeys can start beyond your own website. Imagine a buyer asking an AI assistant to find a suitable product. We design product knowledge, rules and permitted actions as connected, readable building blocks.
This is a development direction for the vertical digital architecture. We explicitly define which external systems may search, configure or prepare a request. A request becomes an order only through the agreed checks and approval.
From strategy to your architecture ↗Security & AI governance
Information security and responsible AI require technology, working practices and independent assessment. We make the safeguards and the status of external review explicit.
Application in progress
Information security management
The application for information security management system certification is in progress. No certificate has been issued yet.
About the ISO/IEC 27001 standardApplication in progress
Independent attestation
The request for an independent SOC 2 examination of the agreed controls is in progress. A completed SOC 2 report is not yet available.
About SOC examinations and reportingEU AI Act
The EU AI Act ties obligations to how AI is used and an organisation's role. Skyeos supports responsible use through explicit authority, human review and traceable execution.
The European framework for AIWhere approval is required, the proposal, human decision and execution remain separate steps. A model cannot grant itself additional authority.
Identity, roles and permitted sources determine which business data and actions are available to an execution.
Recorded state, events and outcomes support investigation and review. An uncertain external outcome requires a check before retrying.
Purpose, risks, data use and responsibilities are defined per implementation. The role, risk classification and applicable obligations determine the additional safeguards and assessment required.
A formal EU AI Act conformity assessment has not yet been completed. This describes the concrete safeguards and the assessment needed for each use case.