Single Technologies

Single Technologies is a Stockholm-based deep tech company founded in 2012 by Johan Strömqvist, Bengt Sahlgren, Annika Bolind Bågenholm, and Raoul Stubbe. The company originated from research at the Royal Institute of Technology (KTH) in Stockholm combined with R&D from the fiber optical grating industry. The founding team combines expertise in biophysics and fiber optics. The company is developing a disruptive 3-D Sequencing™ technology to address the scalability limitations of current flat, 2-D sequencing methods.

The core of Single Technologies' offering is its upcoming Theta platform, a sequencer that performs analysis in three dimensions, significantly increasing the parallelism and throughput of DNA sequencing. This approach unites sequencing with spatial biology, providing deeper insights into biological structures. The technology is designed to deliver more data at a lower cost, with the goal of making a $10 genome a reality, a substantial reduction from current costs. The company's business model focuses on providing this high-throughput sequencing platform to innovators, researchers, and companies in sectors like AI, pharmaceuticals, and diagnostics. It aims to generate revenue by selling large biological datasets for applications such as AI model training.

Single Technologies has secured significant funding to advance its commercialization efforts. After raising $6.1 million in a 2020 Series A round and additional funds in subsequent years, the company secured SEK 170 million in 2025, led by the European Innovation Council, to transition from development to a commercial phase. The company serves clients and partners who are developing applications in proteomics, gene editing, and spatial biology. With its technology, Single Technologies aims to empower a new generation of data-driven biological discovery and personalized medicine.

Keywords: 3D sequencing, DNA sequencing, genomics, high-throughput sequencing, spatial biology, single-molecule imaging, biotechnology, deep tech, life sciences, next-generation sequencing, omics, transcriptomics, personalized medicine, data-driven biology, gene editing, proteomics, molecular diagnostics, bioinformatics, confocal microscopy, genetic analysis