
Labs don't need another LIMS. They need a complete operating system for modern lab operations - and that's QBench, reshaping everything from order placement through sample processing to automated reporting.
Simple. Powerful. Adaptable. Where other LIMS force labs into rigid structures built on heavy custom code and vendor dependency, QBench moves with you. It bends. It adapts. Your processes evolve, and QBench evolves too.
It adapts to your secret sauce. Every lab has its own workflow, its own rhythm, and QBench respects that with unmatched configurability. You shape the workflows. You define the data fields. You stitch together the automations. QBench's former bench scientists work alongside you throughout, offering expert guidance and workflow suggestions.
It automates the tedious work. File parsers and a robust API connect QBench to the instruments and systems you already run, so data flows on its own. No manual entry. No transcription errors.
It unifies everything in one platform. Real-time inventory. A dedicated portal giving clients instant access to results. Built-in analytics. A QMS module that keeps you audit-ready, always.
QBench helps labs work smarter - cloud-based, secure, and always evolving, like the science it supports.
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Shape Software's purpose-built sales and marketing automation software empowers you to manage all aspects of your business from one platform.
The cloud-based software from Shape offers many tools to help you manage and automate your online marketing, promotions via text, email and digital marketing ads, capture leads from online sources, nurture prospects and customers and project manage your day. You can also offer customers a secure portal to streamline your intake processes, systematically score leads with ShapeIQ, and run detailed custom reporting.
Start growing your revenue with Shape's flexible suite of services today.
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Profluent
Profluent's innovative platform transforms the field of protein design by seamlessly combining cutting-edge AI technology with its own experimental capabilities, allowing for the development of proteins that are either inspired by nature or entirely newly conceived. This comprehensive methodology provides precise, flexible, and scalable solutions to intricate biological problems, resulting in advancements that push the boundaries of protein functionality. Profluent's foundational models extend protein design beyond the constraints of traditional random approaches, enabling the simultaneous optimization of various characteristics, enhancing sequence diversity, and unlocking new functionalities. By venturing into unexplored protein territories, Profluent presents distinctive opportunities that surpass the limitations of natural or patented proteins, streamlining the process for partners to achieve commercial viability in a more cost-effective and accessible manner. Underpinning Profluent's capabilities is a strong dedication to scientific excellence, utilizing a wide range of datasets and advanced AI techniques to address complex challenges effectively. As a result, Profluent not only advances protein engineering but also sets a new standard in the industry, fostering innovative collaborations and breakthroughs.
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Evo 2
Evo 2 represents a cutting-edge genomic foundation model that excels in making predictions and designing tasks related to DNA, RNA, and proteins. It employs an advanced deep learning architecture that allows for the modeling of biological sequences with single-nucleotide accuracy, achieving impressive scaling of both compute and memory resources as the context length increases. With a robust training of 40 billion parameters and a context length of 1 megabase, Evo 2 has analyzed over 9 trillion nucleotides sourced from a variety of eukaryotic and prokaryotic genomes. This extensive dataset facilitates Evo 2's ability to conduct zero-shot function predictions across various biological types, including DNA, RNA, and proteins, while also being capable of generating innovative sequences that maintain a plausible genomic structure. The model's versatility has been showcased through its effectiveness in designing operational CRISPR systems and in the identification of mutations that could lead to diseases in human genes. Furthermore, Evo 2 is available to the public on Arc's GitHub repository, and it is also incorporated into the NVIDIA BioNeMo framework, enhancing its accessibility for researchers and developers alike. Its integration into existing platforms signifies a major step forward for genomic modeling and analysis.
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