AI applications

Translating a catalogue of several thousand records into five languages is not a literary quality problem, it is a pipeline problem: detecting what must be translated, preserving markup, keeping units and references intact, and automatically verifying that nothing from the source language leaked into the target.

We build those pipelines with automated checks at every stage. The check that matters is not the model score, it is the audit of the final rendering in a browser, language by language.

• Catalogue translation preserving markup and units
• Automatic detection of source-language leaks
• Editorial generation under verifiable constraints
• Quality measured on the rendering, not on raw output

A large share of value sits in documents nobody reads: supplier invoices, spreadsheet price lists, purchase orders, bank statements, catalogues in portable formats. Reliable extraction turns a folder of files into a basis for decisions.

We treat those flows with a traceability requirement. Every extracted value keeps a link back to the document and page it came from, which makes an error detectable and correctable.

• Extraction of prices and terms from supplier documents
• Bank reconciliation and accounting records
• Normalisation of heterogeneous catalogues
• Every value traceable back to its source

A useful agent is a bounded agent. We design agents with explicit tools, a maximum budget per task, a log of their actions, and a hard line between what they may propose and what they may execute.

Decisions with financial or legal consequences stay with a person. That is not a token precaution: it is the condition for the system to remain auditable.

• Explicit tools with permissions checked at execution
• Budget per task and automatic stop when exceeded
• Full, replayable log of actions
• Strict separation between proposing and executing

We do not produce content designed to mislead a reader about its origin or its nature. We do not manufacture reviews, testimonials or references. We do not let a model decide an irreversible action on a production system by itself.

These limits are not abstract scruples. They protect the value of what we build: an asset resting on deceptive content loses its worth at the first change of algorithm or regulation.