Solutions

AI models and agents

LinkTec designs bespoke AI systems combining models, knowledge, agents, tools, business capabilities and workflows. They integrate with your software and run in the environment selected with you.

System architecture

From specialised models to systems that act.

  1. KnowledgeAuthorised documents, databases and data, retrieved at the right moment through custom RAG.
  2. Specialised modelChosen for the use case, configured and, where the use case calls for it, specialised through fine-tuning.
  3. SkillsReusable know-how: the procedures, rules and formats specific to your business.
  4. Agents and orchestrationAgents chain the steps of a workflow and distribute work between components.
  5. Tools and integrationsYour software, documents and APIs, used within a scope of action defined with you.
  6. Human approvalSensitive decisions go through your teams, at the steps you choose.
  7. Interfaces and resultsAn assistant built into your tools, an API or a dashboard: results arrive where your teams work, evaluated on your cases.
Capabilities

What your system can do.

Six dimensions we design and assemble for your use cases, from knowledge to action.

  1. Specialised models

    A model selected and adapted to your business: instructions, knowledge specific to your context and fine-tuning when that approach is chosen.

  2. Agents and business tools

    Assistants and agents that consult your sources, use your tools and contribute to actions within a scope defined with you.

  3. Skills

    Your know-how becomes reusable skills: a procedure, a check or a response format, applied consistently to every request.

  4. Workflows and orchestration

    The steps of a process follow on from one another — collection, analysis, drafting, review — with the human approvals that matter.

  5. Integration

    The system connects to your software, documents and data, or works as an assistant inside the tools your teams already use.

  6. Evaluation and operation

    We compare configurations on your project’s use cases, document how the system works and prepare it to run in the chosen environment.

Build the adaptation your system needs

Instructions, RAG, configuration and fine-tuning are among the techniques we use in system design.

  • Instructions
  • Custom RAG
  • Configuration
  • Fine-tuning

Results evaluated in context

Prerequisites
We identify with you the use cases, accessible data and usage rights, tools to connect and deployment constraints.
Deliverables
Specialised models, agents, tools, skills, workflows and integrations with your software.
Evaluation
We build representative test cases and validation criteria with you, then analyse the results to refine the system.
Deployment

Hosting, access and dependencies

Installation on your premises or in a cloud selected with you, configured for the chosen environment.

Sovereignty & security
Hosting
On your premises or in a cloud selected together; we prepare the chosen environment.
Access
We define roles, administration and data access with you.
Dependencies
We document versions, licences, data flows and telemetry for the selected components. No external model API without your request.
Exit conditions
Handover items, formats, rights and takeover conditions are set out in the proposal, taking licences into account.

AI-Ready Diagnostic and project scoping

The AI-Ready assessment evaluates your organisation’s maturity; scoping defines the system to build, with the prototypes and tests your project needs.

AI-Ready Diagnostic and project scoping

Each proposal specifies the scope, deliverables and budget.

Engagement terms
Next step

Let’s define use cases and evaluation criteria.

Describe the tasks, available data and tools to integrate: we derive the architecture, agents and model adaptation from them.