OpenBinacle® Translate

Introducing NMT and GPT-1, OpenBinacle's most advanced AI system. Join our large community around the world and help create a world without language barriers.

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OBTranslate® also known as "OpenBinacle Translate", is a deep learning, CAT (Computer Assisted Translation) tool, neural machine translation (NMT) and Generative (AI) artificial intelligence platform for languages. A registered trademark and subsidiary of OpenBinacle® Group

The goal of automatic translation of free-text and documents from foreign languages into African languages (or between any two languages) is one of the oldest pursuits of artificial intelligence research in OpenBinacle. Our community of scientists are exploiting large datasets of translated and monolingual text to learn translation with statistical models, with a current focus on neural models.

With our indigenous communication technology and machine translation (MT) assisted by artificial intelligence (AI), we are digitizing and modeling over 2,995 indigenous African languages, a massive multilingual data repository of over 800 trillion language corpus datasets. With this advantage, language differences will no longer become a barrier for people of African descent; this will foster quality education, and intra-African trade, and give access to global markets and collaboration amongst all ethnic groups in all 55 African countries.

We simply want most (spoken or written) languages to talk to each other seamlessly. We have built machine translation models and artificial intelligence (AI/MT) innovative platforms that could enable self-driving cars, speaker devices, humanoid robots, smartphones, wireless technology, and OBMeet® messaging and video conferencing platform to interact with humans in diverse languages.

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Artificial Intelligence & Responsibility

Our research and work involve creating a community-centered, humanistic, and interdisciplinary engagement that benefits all stakeholders, diverse communities, creatives, and researchers around the world.

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A decentralized cloud for artificial intelligence. Releasing v1 of OpenBinacle GPT-1 and NMT.

OBTranslate® neural machine translation (MT/GPT-1) platform is optimized on over 2 billion tokens, which could surpass most 100B+ parameter models in classification. Our GPT-1 is formed and trained with a decentralised algorithm with an interconnection of 1 Gbps, contrary to the typical data centre networks of 100Gbps-1.6Tbps.

At OBTranslate®, we are a team of programmers, data scientists, physicists, mathematicians, cloud architects and hackers, working together to tackle a single problem with "artificial intelligence and deep learning."

We are working hard to bring computation power together to support the open models ecosystem, while developing decentralized training algorithms for heterogeneous GPU hardwares connected over slow (1Gbps) internet links. We are building state-of-the-art models that are much larger, that can outperforms many 100B+ parameter models on classification benchmarks. Training foundation models, such as GPT and MT can be extremely expensive, often involving tens of thousands of GPUs running continually for months and even years.

Our AI models, known as Large Language Models (LLMs), are very complex and expensive to train. These models are typically trained in specialized clusters featuring fast, homogeneous interconnects and using carefully designed software systems that support both data parallelism and model/pipeline parallelism. Training foundation models, such as OBTranslate® GPT and MT can be extremely expensive, often involving tens of thousands of GPUs running continually for months. The server costs required to train these models run into hundreds of thousands of dollars.

OBTranslate GTP-1 is a state-of-the-art generative AI model based on the Transformer architecture. Our Transformer architecture is a special kind of neural network.

The OBTranslate GTP-1 generative AI model is inherently good at generating text based on given inputs. Depending on your input, you can tell your AI model to do different things. For example, you can ask the model to classify text, extract specific entities from text, summarize large pieces of content, paraphrase some content, answer questions, and of course act as a chatbot.

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Models (NMT/GPT-1/NLP Research)

We are investing in research, education, and training to ensure that the next generation of AI researchers, practitioners, and users have the skills and knowledge to work with OBTranslate "Machine Translation and Generative AI" (Statistical modeling of communication, human languages, arts, and cultures), in a way that is community-centered, humanistic, and interdisciplinary.

Machine Translation

OpenBinacle's AI tools and machine translation (MT) for development, provisioning of non-discriminatory language data modeling, and open-source AI technology that play a significant role in promoting development and reducing language barriers in rural and urban areas.

Our machine translation can help to break down language barriers, enabling people to access information and services in languages that they may not be fluent in. This can help to promote economic development by making it easier for people to participate in global markets and access new business opportunities.

We are working hard to ensure that the data used to train our AI models are non-discriminatory and reflects the diversity of the population. This can help to avoid perpetuating biases and discrimination in our AI systems. By developing non-discriminatory language data models, our AI can promote more accurate and equitable outcomes.

Text & Code Generation

OpenBinacle's text generation algorithms, also known as large language models (LLMs), are trained on large amounts of textual data and can generate new text that is similar in style and content to the input data. Common applications of text generation include language translation, chatbots, and content creation and many more

Image Generation

Image generation in AI refers to the use of artificial intelligence algorithms to create new images that are not based on existing data. These algorithms use a generative model to produce images that mimic the patterns and features of a training dataset.

There are different types of image generation techniques in AI, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Deep Belief Networks (DBNs). These models are trained on large datasets of images, and can generate new images that resemble the original dataset, but with variations and new details.

Voice Translation & Transcription

Voice translation and transcription are essential components of modern communication and are increasingly being used in a wide range of industries, including healthcare, education, and business.

Voice translation involves the use of natural language processing (NLP) and machine learning algorithms to translate spoken language from one language to another.

Chatbot / Conversational AI

Chatbots and conversational AI have become increasingly popular in recent years, as businesses and organizations look for ways to automate customer service and support, and provide 24/7 access to information and assistance.


Paraphrasing in AI can be useful in many contexts, such as improving readability of complex text, generating variations of existing content for SEO purposes, and helping non-native speakers understand and use English more effectively.

There are several approaches to paraphrasing in Artificial intelligence, ranging from rule-based methods to more advanced machine learning techniques. Rule-based methods involve using pre-defined rules and patterns to replace words or phrases with synonyms, while machine learning techniques use large datasets to learn how to generate paraphrased sentences based on input data.

Semantic Search

Semantic search involves analyzing the relationship between words and phrases, and identifying the concepts and entities that are related to the search query. This can include synonyms, related terms, and other semantic relationships that go beyond simple keyword matching.

Semantic search is used in a variety of applications, including web search engines, enterprise search, and chatbots. It can also be used to improve the accuracy and effectiveness of recommendation systems and personal assistants.

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For University

Universities are home to some of the brightest minds in the field of machine translation and artificial intelligence (AI). By partnering with us, OBTranslate® can gain access to a pool of talented individuals who can help advance our research and development efforts.


Collaborate With Us

Together, academic institutions around the world can join us further collaborative research in a broad range of machine translation, artificial intelligence technologies for European and African languages.

We are focused on setting up our AI/LAB or Hub across universities, wherein OBTranslate experts and scientists will provide digital materials and knowledgebase through our interactive, educational, training and e-learning web-based platform.

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