ADXO orchestrates specialized AI agents for data intake, transformation, data quality and search. This creates controlled, transparent and reusable data processes – with review options, governance and a scalable suite foundation for productive AI applications.
ADXO starts where companies currently lose a lot of time: data comes from heterogeneous sources and needs to be understood, mapped, validated and made usable for downstream processes.
ADXO supports data migrations from legacy sources into target systems through automated analysis, intelligent mapping, rule-based transformation and quality checks before loading. Reusable workflows make migration waves reproducible, transparent and easier to control.
ADXO analyzes data inventories independently, detects incomplete, invalid, inconsistent or suspicious records and makes the need for action transparent. Dashboards, scores and review workflows create a foundation for continuous data quality improvement.
The suite combines orchestration, user interface, run history, reuse, roles, logging, monitoring and core connectors. This creates a scalable foundation for recurring data workflows.
ADXO Suite
A central workspace where business units, data teams and IT jointly manage AI-powered data processes.
ADXO is open across models and services. AI models, agents, services and integrations can be flexibly combined, extended or replaced - without dependency on a single provider. Companies can use ADXO as the foundation for a suite, integrate individual agents into existing systems or receive support when building their own AI suite.
For sensitive data, ADXO supports controllable deployment scenarios - from on-premises to customer-specific security requirements and individual operating and integration models. This allows ADXO to fit existing IT and data landscapes.
New sources, data inventories and customer-specific requirements are not treated as isolated one-off projects, but transferred into standardized and reusable processes. ADXO Core provides the foundation for runtime, governance, review and reuse; complementary agent modules such as AutoMapper, DropZone, Data Quality, Translation, Classification or Search extend the suite in targeted ways.
Human-in-the-loop, traceable suggestions, review processes, prompt versioning, run history, auditability and monitoring build trust in AI-powered data work - with governance, GDPR and Swiss data protection requirements in mind.
ADXO Suite offers specialized agents that can be integrated standalone into existing systems or used together as an orchestrated workflow - for data intake, mapping, quality, classification, search and other data-related tasks.
The agent layer for mapping, quality, classification, search and data enrichment.
Accelerates the transfer of different data sources into a unified target model and reduces manual coordination effort.
Enables an easy entry point for many file types and quickly makes incoming data usable for further workflows.
Makes quality issues visible, prioritizes required action and supports business teams in targeted data improvement.
Helps derive a robust business data model from existing data and launch new data initiatives faster.
Ensures consistent multilingual content, accounts for terminology and supports controlled approval processes.
Classifies data into business categories in a traceable way, improving search, reporting and downstream processes.
Finds relevant, similar or related information faster and supports better decisions across the data inventory.
Supports duplicate cleanup and helps create reliable, aligned data views for operational processes.
Articles and insights show how ADXO turns complex data processes into controlled, reusable workflows and makes agentic AI productive.
Why AI agents need more than technology: clear use cases, data, governance and integration determine productive impact.
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How companies turn AI ideas into productive applications: from clear goals to data, processes, governance and controlled implementation in everyday operations.
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How AI structures and matches heterogeneous supplier data automatically - with mapping suggestions that stay under human control in PIM and MDM environments.
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AI translation combined with brand glossaries and human oversight: consistent product texts in more than ten languages, governed by terminology and measurable quality.
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Semantic and hybrid search recognises the intent behind a query instead of matching keywords only - customers reach the right product faster.
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Where large language models optimise product communication, translation and personalisation - and which data quality and governance practices this requires.
Read nowBring a real dataset, a target model or a concrete pain point. Together we identify which ADXO use case can create value quickly and how it can become an MVP, an agent module or a reusable workflow.
