We help AI understand humans. Multilingual Synthetic Training Data for Conversational AI

Company. Bitext brings a unique approach to the market of Natural Language by combining symbolic computational linguistics and statistical machine learning. Bitext works in more than 70 languages and 25 language variants. Bitext works for the largest software companies in the world, for 3 of the 5 Big Tech.

Product. Bitext provides linguistic knowledge to make Generative AI reliable. With that goal, Bitext has engineered the best performing and most accurate Multilingual NLP SDK in the market. The main competitive advantages of the Bitext NLP SDK are:
- Speed. Processes 640.000 words per second on an 8-core CPU
- Multiplatform. Runs on any OS/Architectures: Linux, MacOS, Windows; ARM, x64
- Multi-API. Native C available via C, Python, and Java APIs
- Ubiquitous. Deployable both on premises and in the cloud
- Light footprint. 50 MB HD, 200MB memory with no external dependencies

The Bitext NLP engine covers the full text analysis pipeline, from language identification to full parsing. Some of the main functionalities for 70+ languages and 25 language variants, including 4 variants of Arabic:
- Language Identification at sentence level
- Lemmatization & Word Segmentation, including Chinese & Japanese
- Decompounding & Agglutination for German, Korean, Swedish, Turkish...
- POS Tagging, including Phrase Structure Tagging
- Entity Extraction
- Concept Extraction and more

Use Cases. The main uses cases in the current Generative AI trend are:
Entity and Concept Extraction. Extremely fast and efficient multilingual data extraction so entities and concepts can be easily consumed by vector search, graph databases, or compliance workflows.

Semantic RAG & Semantic Search. By tagging text with linguistic knowledge (POS, lemma, entities, concepts...) the Bitext SDK provides grounding, context control, and precision, reducing noise, hallucinations, and downstream inference costs in LLM-based systems.

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