AXENTYR / Platform

Connect AI to the work it needs to do.

A proposed foundation connecting authorised inputs and business context with AI models, clear permissions and results teams can evaluate.

Discuss your use case Explore the architecture

The proposed foundation

Six layers.
Clear responsibilities.

The architecture separates access to information, the meaning of the business context, AI workflows and the controls around them. Evaluation would connect the result back to the assumptions that produced it.

Target architecture

Common technical foundation

Six responsibilities to implement and evaluate.

  1. Authorised connectors

    Connect agreed sources, client systems and equipment within verified access rights.

  2. Business domain model

    Represent entities, relationships, events and the constraints that shape the task.

  3. Models, agents and tools

    Orchestrate AI models, agent workflows and explicit tool use around a defined objective.

  4. Permissions and human control

    Apply access boundaries, approval steps and failure handling outside model responses.

  5. Evaluation and traceability

    Evaluate results, retain their evidence and monitor outcomes against agreed criteria.

  6. Deployment options

    Assess cloud, local or embedded placement against the task and operating constraints.

Evaluation feeds back into the foundation. Review results, then revisit sources, domain assumptions, workflows and controls.

Three independent offerings

Separate scope and contract for each

AXENTYR Intelligence

Sourced analysis and analyst workflows.

Explore Intelligence

AXENTYR Security

Alert qualification and incident workflows.

Explore Security

AXENTYR Robotics

Mission intelligence and equipment integration.

Explore Robotics

Robotics safety boundary. Robotic integrations would keep manufacturer navigation and safety controls independent from AI mission models. Intelligence and Security do not require Robotics.

Authorised connectors

Define what may be connected, which data may be used and how permissions, freshness and source references are retained.

Business domain model

Give documents, organisations, assets, incidents or missions a defined meaning in the client’s context, with relationships and operating constraints made explicit.

Models, agents and tools

Specify the role of each model or agent, the tools it may request, the information it needs and the conditions under which its output is useful.

Permissions and human control

Separate a recommendation from permission to act. Define who reviews, who approves, what happens when a tool fails and when a workflow must stop or return to a person.

Evaluation and traceability

Define evaluation cases, source and tool traces, result review and outcome monitoring. Use findings to revisit inputs, domain assumptions, workflows and controls.

Deployment options

Choose placement only after assessing data boundaries, connectivity, latency, compute requirements, supervision and maintenance.

An architectural possibility

A possible decision interface.

A Decision API could provide an interface for context, recommendations and review outcomes. It would require a defined protocol, permissions and approval model. No public endpoint, developer access or production business integration is established.

Independent safety controls

Mission intelligence within operating limits.

For robotic uses, an AI mission model must not override manufacturer navigation or safety functions. A proposed integration would need separate operating limits, supervision, failure handling and safe fallback behaviour, assessed with the selected equipment.

Current maturity

What exists.
What remains to build.

The website, interface examples and target platform have different levels of maturity. An interface demonstration does not establish a functioning business service.

Website and contact
Implemented
The website and its contact journey are the operating parts of the current project. They demonstrate site navigation and the contact workflow.
Interface prototypes
Synthetic examples
Offering pages include interface prototypes using synthetic content. They demonstrate presentation and intended interactions, without a live backend for intelligence, security or robot operations.
Target platform
Not validated
The six-layer foundation, its business connectors and orchestration remain architectural targets. A deployed business backend and production results are not established.

Options to evaluate

Place the intelligence
where the task needs it.

Cloud, local and embedded placement are options to assess against a client’s constraints. These are target arrangements; no business deployment in any of these modes is demonstrated.

Cloud

Shared access and coordinated workflows.

Hosting boundaries, access controls, data residency, connectivity and recovery arrangements would need to be defined and evaluated.

Local

Work within a client-controlled environment.

Installation, source connections, compute capacity, network restrictions, updates and maintenance responsibilities would need validation.

Embedded

Place selected functions near the equipment.

Latency, available compute, equipment interfaces and supervision would need testing. Manufacturer navigation and safety controls must remain independent of mission models.

From architecture to a defined scope

Start with the task.
Define the integration.

Tell us about the decision, workflow or mission you want to explore, the authorised inputs and the constraints of your environment. Choose Intelligence, Security or Robotics independently, or discuss a combination.

Discuss an engagement