Solutions

Make the internal assets that feed your AI and transformations reliable

Product logic

Before automating, make what already exists inside the enterprise reliable.

Organisations already hold a vast internal asset base. The challenge is not only to find it: it is to qualify it, connect it and make it usable without losing control.

Starting point

Two assets determine the quality of AI, data and IT initiatives.

On one side, application knowledge: what systems actually do, why they do it and how they depend on each other. On the other, operational data: repositories, entities, duplicates, anomalies and arbitration rules that structure the business.

Capture

Bring useful sources together

Connect data, documentation, code, tickets, business rules and human expertise that describe operational reality.

Qualify

Reduce uncertainty zones

Identify inconsistencies, gaps, duplicates and dependencies before they weaken an AI, IT or data initiative.

Expose

Make assets usable

Turn those assets into governed, traceable repositories usable by teams, workflows and AI assistants.

The products

Applicative knowledge

Visit the KONTEX website

Understand critical systems before transforming them.

KONTEX transforms dispersed knowledge of critical applications into a reliable, traceable repository that teams and AI systems can use.

Value

Reduce uncertainty around critical applications before modernisation, migration or the deployment of internal assistants.

What KONTEX structures

Code, documentation, tickets and project history
Business rules, dependencies and application exceptions
Decisions, trade-offs and team expertise
Links between sources, human validation and traceability

When to activate it

Application modernisation
IT migration preparation
Impact analysis and living documentation
Internal AI assistants fed by reliable context

Application knowledge and modernisation Context engineering for technical teams

Data quality

Visit the DUPLIK website

Create reliable repositories from fragmented operational data.

DUPLIK consolidates and makes operational data reliable to create stable, explainable and auditable repositories.

Value

Turn scattered data into usable business truth before migration, AI initiatives or operational consolidation.

What DUPLIK makes reliable

Deduplication and entity matching
Anomaly detection and normalisation
Human arbitration, history tracking and justification
Auditable repositories for teams and systems

When to activate it

Customer, supplier, product or equipment repositories
Data migration preparation
Data quality before exposure to AI assistants
Consolidation of heterogeneous operational sources

Data quality and AI

The Adilian layer

KONTEX makes knowledge reliable. DUPLIK makes data reliable.

Their shared role is to make fragmented internal assets reliable, governed and directly usable. This trust layer then allows organisations to automate, migrate or expose assets to AI with greater control.

Applicative knowledge becomes governable.

Teams better understand existing systems, dependencies, rules and impacts before transforming them.

Operational data becomes reliable.

Repositories gain consistency, explainability and auditability before being exposed to critical use cases.

Identify the right entry point to make your internal assets reliable

Let's start from a concrete scope: a critical application, a business repository, an IT migration or an internal AI assistant.

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