AI technology to analyze any type of microbiome and can be trained to classify them. The technology stack (Bangkok) is for sale and can be applied generically to analyze any type of microbiome and can be trained to classify them. Bangkok has also devised its own extraction protocols and an elaborated meta-genomic pipeline. Additionally, they have created a toolbox that includes various machine learning algorithms, all of which have been optimized to run on high-performance compute clusters powered by SLURM.

Particularities
The technology is extremely well suited to solve data science challenges in the microbiome analysis domain. It has proven itself in the Oil and Gas exploration workflows but can be applied in the same way to any microbiome study. It gives the acquiring Company the opportunity to make a quick start with a proven method and save years of development work. The technology stack can be applied for any microbiome study and with little adaptation, any genomic studies.

The organisation
Meta-genomic pipeline software: The software is designed to generate optimal fingerprints from raw 16S rDNA sequencing data of each sample. Our use of 'DNA fingerprints' refers to alpha diversity – i.e., the distribution of microorganisms in a sample. The company uses various approaches to clean up the sequencing data and ensure that the resulting fingerprints maintain high quality while minimizing the inclusion of spurious microbial strains. Additionally, our software includes tools for quality-checking the data that comes from the sequencing lab. By leveraging a high-quality curated ribosomal database, our tools achieve higher-than-industry standard performance.

Business activities

• Machine Learning software: Our software enables users to easily train models capable of classifying DNA fingerprints into targeted categories. These categories reflect the distinct characteristics of the sample's environment. For example, they can discriminate based on factors such as the degree of pollution, wastewater quality, gut flora health-promoting properties, skin health, and more. By creating a suitable training set that reflects the targeted classification, our software generates models that accurately classify the samples.
• NLP software and knowledge mining: The software is designed to link the distinguishing species – the critical strains on which machine learning models base their predictions – to their known metabolic functions as reported in the scientific literature. For Bangkok this meant linking microbes to their ability to metabolize oil and gas, or conversely, to their diminished spread in the presence of increased hydrocarbon concentrations, to validate the classification results. Several Patents and Publications are available and part of the transaction.

Key figures
AI software market is growing with 22,97% CAGR up to 1094.52 Billion $. As per Precedence Research, the global artificial intelligence (AI) software market size was estimated at USD 138.4 billion in 2022. Artificial intelligence software includes machine learning, voice recognition, and virtual assistants. It mimics human behavior by learning data patterns. Artificial intelligence software can recognize speech, images, and text to solve problems and develop better analytics. Artificial intelligence software is admired globally due to its supervision to manage the business and operating systems with reduced risk management techniques. Artificial intelligence software is used in multiple sectors such as education, healthcare, automotive, IT & Telecommunication and oil and gas. As more industries become dependent on artificial intelligence techniques, the artificial intelligence software market is expanding all over the globe.

Possibilities
With the Bangkok technology stack several business options are possible. It can be used as it has been used in the past. Meaning in the oil and gas industry to apply this software for robust and accurate reservoir predictions or in the healthcare market to predict, in an early stage, glandular cancer by analyzing the microbes, such as the bacteria population using the Bangkok AI/ML software. In the past few years over 3M € revenue was generate in the oil and gas sector with the Bangkok AI stack and the related services. Besides the software there is an existing pipeline as well. A possible hand over of this pipeline can be discussed.

Other information
Bangkok has been in operation for 8 eight years since a successful spin-out from TNO. With a total revenue of approx. 3 million euros, the company that owns Bangkok has faced challenges in selling enough projects to sustain its operations, despite successful proof of concept studies and pilot projects. Consequently, the company has decided to seek a suitable buyer for the technology stack.