Jurgi Camblong
Analyst · Morgan Stanley. Please go ahead
Thank you, Katherine, and good morning, everyone. We appreciate you joining us on our call this morning. I am pleased to share that our first quarter results came in strong, with total revenue for the first quarter, growing 37% year-over-year on a constant currency basis after adjusting for COVID-19-related revenues. We delivered this growth while maintaining our fiscal discipline, resulting in meaningful expense reductions from the prior year period, and so I am equally pleased to tell you that our operating loss on an adjusted basis was $16.2 million, an improvement of $4.8 million for the first quarter of 2022. On today's call, I will start by reviewing our progress in the first quarter as it relates to our strong business momentum and the continued customer adoption of our market-leading platform. And I will then turn it over to Ross Muken, our Chief Financial Officer, and Chief Operating Officer, to share our financial results for the period in more detail and our outlook for the remainder of 2023. And then we will end by taking your questions. Let me start with a review of the first quarter highlights. Momentum in our business continues to be robust on a global basis. We added 18 new logos in Q1. Of our more than 750 customers, 437 are core genomics customers that utilize our platform regularly to our dry lab, bundle, and integrated access modes. Our strong Q1 performance is demonstrated by very robust usage numbers across the board. For the first quarter of 2023, analysis volume across our core genomics customers across proxy for patients was 77,819, an all-time high, up 9% sequentially and up 18% year-over-year. When excluding COVID-19-related volumes, platform analysis volumes were 75,868 for the first quarter of 2023, up 12% sequentially and up 25% year-over-year. We ended the quarter at nearly 30,000 analyses a month, indicating that we are well on our way to being the leader for technology-agnostic software for genomic and multimodal analysis. I will now highlight some areas of particular strength in the quarter. In EMEA, France, a country with one of our largest and longest-standing presence, continues to demonstrate strong growth. Customers such as Institut Gustave Roussy in Paris, among the top cancer centers in Europe, and arguably among the top specialized hospitals in the world for the treatment of rare and complex tumors are expanding their use of our platform. Institut Gustave Roussy began working with SOPHiA GENETICS in 2017 with a vision to offer patients personalized treatment. They will now be using the SOPHiA DDM capabilities for the analysis of over a dozen cancer-related applications, including solid tumors, and hematological and hereditary cancers, establishing our platform as a core genomic analytics platform. We also recently established for Gustave Roussy a new bidirectional communication link from SOPHiA DDM directly to their database. This will enable them to facilitate a more efficient interpretation of their research data and helps to further grow the internal knowledge database of Institut Gustave Roussy. In the APAC region, I would highlight India, which has usage growth well ahead of our company average in the quarter and well ahead of our expectations. During the quarter, Krsnaa Diagnostics, a Central Lab, went live on SOPHiA DDM technology. Krsnaa Diagnostics is India's largest diagnostic service provider in radiology and pathology. They will be expanding their current next-generation DNA sequencing offering by adopting SOPHiA DDM for their hereditary cancer need. In addition, we announced that Unipath, a leading diagnostic brand in India, has launched HRD testing capabilities with SOPHiA DDM. The SOPHiA DDM HRD solution will enable Unipath to retain full ownership of their data, saving time and expense while offering comprehensive genomic insights powered by deep learning algorithms. In LatAm, Brazil is a country that delivered usage growth in the quarter, well above the company average. In this region, I would highlight for you DASA as an example of an expanding customer within our land-and-expand strategy. DASA is the largest diagnostic company in Latin America and the largest integrated healthcare network in Brazil, serving approximately 10% of the Brazilian population. DASA has been a long-standing customer and partner of SOPHiA GENETICS. A year ago, DASA launched HRD testing capabilities on SOPHiA DDM. And we are pleased to tell you that just one year after implementation, DASA has now analyzed over 2,000 samples using HRD on SOPHiA DDM, a true testament of the democratization of data-driven medicine. Next, turning to Maryland customer momentum. I would like to highlight a recent win at the University of Maryland Medical Center, UMMC, who selected SOPHiA DDM to enhance their capabilities around rare disease detection through the combination of Whole Exome plus mitochondrial DNA sequencing. Thanks to SOPHiA DDM, UMMC can maintain their samples in house and using our artificial intelligence and machine learning capabilities, find a more efficient way to analyze and interpret data, further developing their expertise in rare disease. Looking at the first quarter from the standpoint of application areas on the SOPHiA DDM platform, in rare diseases, we saw Whole Exome sequencing data volumes growth above the company average year-over-year, which supports the broader view that as sequencing costs continue to grow up, customers will shift to larger panels at higher volumes. We are encouraged that this trend supports increased value for those that enable large-scale data production within an increasingly complex workflow. In cancer applications, hereditary cancer and solid tumors grew volumes above the company average and some newer areas like HRD and liquid biopsy grew analysis volumes in triple digits. On the biopharma front, we continue to be very active in our engagement with top biopharma companies. The more we discuss our capabilities with the top 20 players, the more we realize their need to have real-world and real-time data. At the recent American Association for Cancer Research AACR meeting, we noted high interest in new applications and a particular focus on MSK-ACCESS liquid biopsy, not the last of which included discussions around DX and global commercial partnerships to support upcoming drug launches with several top 20 pharma. At the AACR meeting, we gave a talk on the decentralization and collective intelligence in precision medicine, highlighting the benefits of having a harmonized platform approach to promote the greater switch in the 70-plus countries we serve while simultaneously collecting key data in real-time and the real world that can benefit decision-making. Interest in our multicentric DEEP-Lung-IV study was high, particularly with respect to multimodality and predictive analytics, with discussions at the conference looking to apply a similar approach but beyond the lungs and into additional indications such as prostate and breast cancer. As you know, SOPHiA GENETICS started 12 years ago on the clinical side, and clinical has been our primary customer focus today. Biopharma is a new class of customer for us and while other informatics players have approached the market launching initially with biopharma, we feel confident about our approach and its uniqueness and value. As we introduce biopharma to SOPHiA GENETICS and provide them with this unique pathway to anonymize real-time and real-world data not previously available, we believe in our differentiation and its likely success over time. On a related note, we are very much looking forward to attending ASCO, the conference of the American Society of Clinical Oncology next month in Chicago, where SOPHiA GENETICS technology will be featured in several poster sessions. Of note, our collaborators at [indiscernible] French, will provide an important update on the clinical validation of HRD using samples from the PAOLA-1 study, which was the study supporting the approval of AstraZeneca PARP inhibitor olaparib in the first-line treatment for ovarian cancer. Additionally, SOPHiA will be showcasing exciting new results in the multimodal analytics space as applies to kidney cancer and highlighting how our proprietary multimodal capabilities enable next-generation sequencing stratification of patients according to the risk of progression. We expect this work may open many promising avenues for further collaborations with biopharma companies. Taking a step back, I would like to touch on our continued scientific innovation. On this topic, I would like to review for you today a recent publication we made, which was accepted in translational medicine. It involves the topic of molecular barcoding, a genomics technique that allows labs to detect mutation signals with low tumor content, which is becoming quite popular in applications such as somatic genomic profiling or MRD tracking. However, its benefits in different application contexts is not well studied. At SOPHiA GENETICS, we use DNA sequencing data generated by molecular barcoding from various types and quantities of input materials such as fresh-frozen DNA for maltreated DNA and cell-free DNA to evaluate the performance of mutation detection in different clinically relevant contexts. We have demonstrated that the benefits of applying molecular barcoding systems are not uniform across different genomic applications. We are excited that our work has been accepted in the Journal of Translational Medicine, a peer review journal, and will help clinical labs to understand better their experimental settings and how such will affect analytical performance. In light of this work, we also established a proprietary molecular barcoding system called [indiscernible] that encodes the barcode in a novel way and is combined with probability-based variant calling algorithms. This technology has already been incorporated into our offering, notably liquid biopsy, and will facilitate the detection of mutation signals with low tumor traction. Now moving from scientific aspects of our business to technology. I think it is worth highlighting that last month, we attended the HIMSS conference, which is perhaps the most influential health information technology event of the year, a gathering of approximately 40,000 attendees. This year, we were thrilled to attend alongside Microsoft, where we share the boot and the cost is a learning launch. Teams development in generative AI and LLM will highlight teams in the provider space. The large language model is a type of artificial intelligence algorithm that uses deep learning techniques and massively large data sets. Our new collaboration with Microsoft will leverage these same technologies as well as conversational AI technologies from Microsoft's 2022 acquisition of Nuance to create a scalable approach to integrate various structures and structure multimodal data to train and test the AI in our CarePath module. Ultimately, the goal is to enable the collection and sharing of large data assets historically found not just within the EMR but also in doctor notes as well as other unstructured formats. With all this momentum, you can sense what makes us super excited about the investments we are making today and their potential in the future. Allow me to wrap up my section by telling you about two honors that we were bestowed on the company since we last spoke. In March, SOPHiA GENETICS was named to Fast Company's prestigious annual list in the World’s Most Innovative Companies for 2023, and in April, SOPHiA GENETICS joined the ranks of Actelion and Lonza in accepting the Swiss Biotech Success Stories Award for our standing contribution as a leader in data-driven medicine. So to conclude my section, I feel as excited today as ever that SOPHiA GENETICS has the elements in place that will enable us to accomplish what we set out to do 12 years ago to harness data from the global community, to generate actionable insights that contribute meaningfully to patient care and patient outcomes, insights that contribute meaningfully towards our customer success and that deliver outstanding performance of SOPHiA GENETICS in 2023 and beyond. And now I will turn the call over to Ross to discuss our financial performance in more detail.