Bitext
Bitext is a private, Madrid-headquartered multilingual NLP infrastructure vendor that licenses a deterministic, CPU-based NLP SDK across 70+ languages to enterprise software platforms. Named customers include Amazon, Salesforce, Volkswagen, Audi, Renault and MarkLogic, with distribution via Databricks Marketplace and the Elasticsearch partner ecosystem.
- Company typePrivate
- Founded2007
- HeadquartersSan Francisco, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Bitext does
Bitext Innovations SL, founded in 2007 and headquartered in Madrid with a US office in Redwood City, builds deterministic multilingual natural language processing (NLP) infrastructure for enterprise software platforms. Its core product is a full-pipeline NLP SDK that performs language detection, tokenization, lemmatization, decompounding, POS tagging, morphological analysis, named entity recognition, entity extraction, phrase extraction and concept extraction across more than 70 languages. The SDK is designed to run on CPU infrastructure (claimed 640k words/second on an 8-core CPU with a 50MB per-language footprint and 200MB RAM total), supports on-premises or cloud deployment, and is positioned as the linguistic pre-processing layer that sits upstream of search engines, vector databases, retrieval-augmented generation (RAG) pipelines, knowledge graphs and document intelligence systems. Supporting products include Bitext NAMER for multilingual named entity recognition, a Text Classification API aligned to IAB's contextual taxonomy, a Synthetic Training Data service for chatbot/NLU training (with a stated 90% accuracy SLA), a custom Elasticsearch plugin, and lexical data resources for 77 languages plus 26 regional variants.
The company monetizes primarily through enterprise SDK and API licensing (recurring subscriptions) and OEM/embedded licensing for product teams that embed its multilingual NLP inside enterprise software. Go-to-market is enterprise field sales with "Request SDK evaluation" and "Request technical review" CTAs, supplemented by distribution through the Databricks Marketplace (where Bitext is a launch partner with 75+ AI models available) and the Elasticsearch partner ecosystem. Named enterprise customers include Amazon, Audi, BankABC, FC Barcelona, Kantar, Lionbridge, MarkLogic, Renault, Salesforce, TechCrunch and Volkswagen, with the company stating that it works with three of the top five NASDAQ-listed companies. The company is privately held and founder-led by Antonio S. Valderrabanos (founder and CEO) with Daniel Benito as chief architect, with disclosed funding to date of approximately $2.88M across a 2015 round from Inveready and a 2018 round from EISMEA.
Bitext firmographics
Firmographics- Name
- Bitext
- Legal name
- Bitext Innovations SL
- Website
- https://bitext.com
- Company type
- Private
- Founded year
- 2007
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Bitext is a private, Madrid-headquartered multilingual NLP infrastructure vendor that licenses a deterministic, CPU-based NLP SDK across 70+ languages to enterprise software platforms. Named customers include Amazon, Salesforce, Volkswagen, Audi, Renault and MarkLogic, with distribution via Databricks Marketplace and the Elasticsearch partner ecosystem.
- Ownership category
- akta.pro rank
Bitext industry classification
Industry- Product category
- Multilingual Natural Language Processing Software
- NAICS
- Software Publishers (5132)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- NLP Developer Tools & Evaluation (prompting, testing, benchmarks) (HDAAADAK)
- akta.pro secondary industries
- Text Analytics & Information Extraction (NER, classification, sentiment) (HDAAADAA), Knowledge Graphs, Ontologies & Entity Resolution (HDAAADAI), Question Answering & Retrieval-Augmented Generation (RAG) (HDAAADAC)
Keywords
Where Bitext is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
Bitext business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations
Revenue model
- SDK/API Licensing: Enterprise NLP infrastructure SDK licensed to product and platform teams. CPU-based deployment model with on-prem or cloud options. The technology is designed for OEM products, enterprise software platforms, internal AI systems and regulated workflows.
- OEM/Embedded Licensing: Architecture ready for embedded enterprise products. Bitext provides multilingual NLP capabilities embedded inside enterprise products and workflows.
Go-to-market motion1 record
Distribution channels4 records
Marketing channels3 records
Bitext product offering
Product offeringCore offering
Bitext develops and licenses a deterministic multilingual natural language processing (NLP) SDK and supporting APIs that prepare raw enterprise text for downstream AI systems. Its core product, the NLP Pipeline SDK, performs language detection, tokenization, lemmatization, decompounding, POS tagging, and named entity recognition across 70+ languages, with CPU-based on-premises or cloud deployment designed for OEM embedding, enterprise software platforms, and regulated workflows. Supporting offerings include Bitext NAMER for multilingual entity extraction, a Text Classification API, synthetic training data for chatbots, an Elasticsearch plugin, and lexical data resources.
Product overview
Bitext provides deterministic multilingual NLP technology that transforms raw enterprise text into structured linguistic outputs. The core product is the NLP Pipeline SDK, which powers search, embeddings, RAG, knowledge graphs, entity extraction, and enterprise software platforms. Supporting products include Bitext NAMER for multilingual named entity recognition (70+ languages), the Text Classification API for IAB-compliant content tagging, Synthetic Training Data service for chatbot NLU training, an Elasticsearch Plugin for search enhancement, and Lexical Data Resources covering 77 languages with morphological data and processing tools.
Differentiator
Problem solved
Functional benefit
Brands
- Bitext NAMER: Multilingual Named Entity Recognition solution for knowledge graphs, supporting 70+ languages.
Products and services
- NLP Pipeline SDK Full-pipeline multilingual NLP SDK providing language detection, tokenization, lemmatization, POS tagging, NER, and linguistic features. CPU-based deployment with on-prem or cloud options, designed for OEM products and enterprise software platforms.
- Bitext NAMER Multilingual Named Entity Recognition system for entity extraction and knowledge graph construction. Supports 70+ languages with precision, automating key steps in knowledge graph creation for faster, more cost-effective deployment.
- Text Classification API API-based text classification service supporting IAB's standard contextual taxonomy for automatic content tagging and semantic ad targeting. Enables compliance with industry standards for large-scale content categorization.
- Synthetic Training Data Artificial training data generation service for NLU engines and chatbots. Generates multilingual synthetic utterances for intent detection and chatbot training, with guaranteed 90% accuracy SLA. Available via GitHub and Hugging Face repositories.
- Elasticsearch Plugin Custom Elasticsearch plugin adding multilingual linguistic normalization layer including lemmatization, decompounding, and entity extraction before indexing. Improves search relevance for lexical, semantic, and hybrid retrieval.
- Lexical Data Resources Comprehensive lexical data covering 77 languages and 26 regional variants. Includes full morphological descriptions with lemma, POS, voice, tense, aspect, person, gender, case, and other attributes. Accompanied by software tools including lemmatizers, POS taggers, phrase extractors, and parsers.
Quantifiable outcome
- Processing speed: 640k words/sec on 8-core CPU
- +1 more outcomes
Companies that use Bitext
Customer profileNamed customers11 records
Segments3 records
Ideal customer profiles2 records
Bitext technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration2 records
AI capability2 records
Feature6 records
Bitext partnerships and signals
Strategic signalPartnerships
Three partnerships are on record, tiered core.
- DatabrickscoreBitext is listed as a launch partner and customer for AI Model Sharing on Databricks Marketplace, enabling organizations to share and serve AI models securely across clouds, platforms, and regions. Bitext's NLP models are available alongside 75+ AI models on the marketplace.
- DatabrickscoreBitext is listed as a new data provider on Databricks Marketplace, which expanded to 230+ data providers and 2,200+ total listings in Q2 2024. Bitext provides AI/ML tools and linguistic data resources through the marketplace.
- ElasticcoreBitext is an Elasticsearch partner providing a multilingual linguistic layer before Elasticsearch for improved search, semantic search and RAG teams. The Bitext plugin adds lemmatization, decompounding, language-aware segmentation and entity extraction before the search layer.
Scale indicators7 records
Recent moves5 records
Expansion highlights6 records
Bitext competitors and assessment
Company assessmentMarket position
Competitive moat5 records
Key risks5 records
Key highlights6 records
Customer concentration
Bitext social profiles
Digital presenceBitext financial estimates
Financial estimateRevenue estimate
Valuation estimate
Bitext leadership team
Management profileNumber of profiles
Profiles2 records
Bitext funding detail
Funding detailFunding overview
Funding rounds2 records
Investors2 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Bitext M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Bitext
What does Bitext do?
Bitext develops and licenses a deterministic multilingual natural language processing (NLP) SDK and supporting APIs that prepare raw enterprise text for downstream AI systems. Its core product, the NLP Pipeline SDK, performs language detection, tokenization, lemmatization, decompounding, POS tagging, and named entity recognition across 70+ languages, with CPU-based on-premises or cloud deployment designed for OEM embedding, enterprise software platforms, and regulated workflows. Supporting offerings include Bitext NAMER for multilingual entity extraction, a Text Classification API, synthetic training data for chatbots, an Elasticsearch plugin, and lexical data resources.
Is Bitext a public or private company?
Bitext is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Bitext founded?
Bitext was founded in 2007. It employs 11 to 50 people.
Where is Bitext based?
Bitext is headquartered in San Francisco, United States, in the North America region.
How does Bitext make money?
Two revenue lines are on record. SDK/API Licensing is the primary driver. The others are OEM/Embedded Licensing.
Does Bitext have an API?
Yes. Bitext offers a Text Classification API that supports IAB's standard contextual taxonomy for content tagging. The API enables automatic tagging of large volumes of content in compliance with industry standards. A demo/test console is available for testing the API. Developer documentation is at www.bitext.com/contact-us.
What industry is Bitext in?
Bitext's product category is Multilingual Natural Language Processing Software. Its primary akta.pro industry code is HDAAADAK, NLP Developer Tools & Evaluation (prompting, testing, benchmarks), with a secondary code of HDAAADAA, Text Analytics & Information Extraction (NER, classification, sentiment). Its NAICS code is 5132 and its SIC code is 7372.