MULTILINGUAL AI TRAINING DATA PREPARATION

Natural Language Processing (NLP) is the branch of AI focused on helping computers understand and interpret human language.

When we say we apply NLP expertise to your data, it means we don’t just run basic spreadsheet macros or generic IT cleaning rules on your text. We use specialized language algorithms combined with 20+ years of linguistic know-how to repair, structure, and optimize your messy datasets—fixing broken alignments, unifying terminology, and eliminating noise—so your enterprise AI models actually perform.

We follow a straightforward process:

• Initial conversation: Covers challenges and expectations for the project. Includes conversations on what kind of data you have, what format is it in, how and where is it stored, etc. Where do you need help? Style, terminology, clean up, format etc.

• Fixed-Scope Execution: After reviewing the data, we set clear targets and execute the technical data engineering—cleaning, deduplicating, aligning, and restructuring your files according to agreed terminology and structure.

• Handover & Integration: We share finalised version-controlled datasets ready to deploy into your LLMs, RAG search pipelines, or MT engines.

Your cleaned data remains 100% yours and is structured to fit seamlessly into any tech stack:

• Private / Enterprise LLMs: Fine-tune open-source or proprietary LLMs with clean, domain-specific datasets.

• Commercial & Custom MT Engines: Boost performance across engines like DeepL, Google, or Microsoft with structured terminology and aligned data.

• Internal RAG & Semantic Search: Eliminate noise and hallucination risks in internal enterprise search tools.

• TAUS EPIC (Optional): Feed structured datasets straight into TAUS EPIC to build custom Quality Estimation models.

We work across all language pairs and text data formats, including TMX, XLIFF, CSV, JSON and TXT. We normalize disparate sources into clean, unified structures tailored to your technical requirements.

We work with sensitive enterprise assets. We assist you in structuring data pipelines to support your internal security, anonymization, and data retention standards. Your proprietary data is never shared or used outside your agreed scope.

Yes. We recommend starting with a sample audit. Send us a representative export of your text data, and we will run an initial health check to show you exactly what can be cleaned, repaired, and restructured.