Alternatives to DNAnexus Apollo
Compare DNAnexus Apollo alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to DNAnexus Apollo in 2026. Compare features, ratings, user reviews, pricing, and more from DNAnexus Apollo competitors and alternatives in order to make an informed decision for your business.
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GenomiX
VE3 Global
GenomiX is a unified analytics platform built to manage the complexity of modern genomics research and clinical workflows. It supports large-scale sequencing data, integrates fragmented systems like LIMS and EHRs, and enables multi-omics analysis across DNA, RNA, and epigenetics. With its cloud-agnostic, container-native architecture, GenomiX ensures flexibility, compliance, and scalability for both research and healthcare environments. The platform streamlines workflows with support for popular engines like Nextflow, WDL, and Snakemake, while offering preconfigured bioinformatics pipelines. Advanced AI and ML integrations accelerate clinical interpretation and research insights. GenomiX also prioritizes security, ensuring GDPR, HIPAA, and NHS compliance while facilitating collaboration across institutions. -
2
Nextflow
Seqera Labs
Data-driven computational pipelines. Nextflow enables scalable and reproducible scientific workflows using software containers. It allows the adaptation of pipelines written in the most common scripting languages. Its fluent DSL simplifies the implementation and deployment of complex parallel and reactive workflows on clouds and clusters. Nextflow is built around the idea that Linux is the lingua franca of data science. Nextflow allows you to write a computational pipeline by making it simpler to put together many different tasks. You may reuse your existing scripts and tools and you don't need to learn a new language or API to start using it. Nextflow supports Docker and Singularity containers technology. This, along with the integration of the GitHub code-sharing platform, allows you to write self-contained pipelines, manage versions, and rapidly reproduce any former configuration. Nextflow provides an abstraction layer between your pipeline's logic and the execution layer.Starting Price: Free -
3
AWS HealthOmics
Amazon
Securely combine the multiomic data of individuals with their medical history to deliver more personalized care. Use purpose-built data stores to support large-scale analysis and collaborative research across entire populations. Accelerate research by using scalable workflows and integrated computation tools. Protect patient privacy with HIPAA eligibility and built-in data access and logging. AWS HealthOmics helps healthcare and life science organizations and their software partners store, query, and analyze genomic, transcriptomic, and other omics data and then generate insights from that data to improve health and advance scientific discoveries. Store and analyze omics data for hundreds of thousands of patients to understand how omics variation maps to phenotypes across a population. Build reproducible and traceable clinical multiomics workflows to reduce turnaround times and increase productivity. Integrate multiomic analysis into clinical trials to test new drug candidates. -
4
BenevolentAI
BenevolentAI
BenevolentAI is an AI-enabled drug discovery platform and scientific technology company that unites advanced artificial intelligence, machine learning, and domain-specific science to accelerate the discovery, design, and development of new medicines for complex diseases by making sense of vast, diverse biomedical data and generating actionable scientific insights faster than traditional methods. Its proprietary Benevolent Platform ingests and harmonizes structured and unstructured biomedical information, including literature, genomics, clinical information, and multi-omics data, into a comprehensive knowledge graph, enabling scientists to reason across biological systems, generate hypotheses, predict novel drug targets, and design candidate molecules with higher confidence and lower failure rates. -
5
BigOmics Analytics
BigOmics Analytics
BigOmics Analytics is a biodata analytics startup developing platforms for biologists to easily visualize and understand their omics data. Our flagship product, Omics Playground, is a user-friendly bioinformatics software for RNA-seq and proteomics data that allows users to store and interactively visualize data from experiments. BigOmics Analytics offers over 18 interactive analysis modules and 150+ interactive plots, enabling co-analysis with more than 6,000 public datasets and access to 50,000+ public gene sets and pathways. The platform also integrates drug connectivity and drug sensitivity databases with over 30,000 drug expression profiles. Designed to facilitate collaboration between biologists and bioinformaticians, BigOmics Analytics helps users discover more while spending less time on data analysis, all without requiring coding skills. The platform ensures robust and reproducible results by utilizing best-in-class methods. -
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Aspect Analytics
Aspect Analytics
Aspect Analytics offers a spatial multi-omics platform for collaborative, cross-disciplinary data analysis and management. For research teams in drug development, biomarker discovery, pathology analysis, and beyond. Aspect Analytics enables breakthrough research and facilitates cross-disciplinary teamwork by bringing multi-omics data into a single-view, collaborative platform. Layer in different spatial omics measurements in one joint visualization, simultaneously. Our platform combines data from all your spatial multi-omics assays to ensure you get the insights you need. Store & manage petabytes of data, securely. Access it anytime, anywhere. Scale up and customize data infrastructure according to your needs. Integrate spatial biology data from different technologies and from all different vendors, no matter which data format. Set up automated workflows and run in-depth analyses on large datasets, in parallel. -
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SOPHiA GENETICS
SOPHiA GENETICS
Our global data-sharing network generates clinically actionable insights from data to improve patient outcomes worldwide. SOPHiA GENETICS’ mission is to build the future of AI-assisted medicine. We are integrating multimodal healthcare-omics data, unlocking the existing data silos, and developing machine learning models to produce actionable insights that could eventually support healthcare professionals to improve patient outcomes. The revamped interface, new features, and cutting-edge capabilities are set to further accelerate precision medicine workflows, bringing us another step closer to democratizing data-driven medicine. Powered by AI and machine learning (ML), our global cloud-based platform provides a safe, secure, and instantly accessible environment to standardize, compute, and analyze digital health data, generating insights from complex multimodal data sets that have the potential to improve diagnosis, therapy selection, analysis, and drug development. -
8
Illumina Connected Analytics
Illumina
Store, archive, manage, and collaborate on multi-omic datasets. Illumina Connected Analytics is a secure genomic data platform to operationalize informatics and drive scientific insights. Easily import, build, and edit workflows with tools like CWL and Nextflow. Leverage DRAGEN bioinformatics pipelines. Organize data in a secure workspace and share it globally in a compliant manner. Keep your data in your cloud environment while using our platform. Visualize and interpret your data with a flexible analysis environment, including JupyterLab Notebooks. Aggregate, query, and analyze sample and population data in a scalable data warehouse. Scale analysis operations by building, validating, automating, and deploying informatics pipelines. Reduce the time required to analyze genomic data, when swift results can be a critical factor. Enable comprehensive profiling to identify novel drug targets and drug response biomarkers. Flow data seamlessly from Illumina sequencing systems. -
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Recursion
Recursion
Recursion is a TechBio company focused on transforming drug discovery by combining biology, data, and artificial intelligence. Founded over a decade ago, the company pioneered the use of large-scale cellular imaging to train AI models that decode the biological drivers of disease. Recursion’s mission is to deliver better medicines through novel insights and precision design, reducing the high failure rates of traditional drug development. Its proprietary Recursion OS platform integrates massive biological datasets with machine learning to accelerate discovery from target identification to clinical development. The company has built an advanced pipeline of potential first-in-class and best-in-class therapies targeting aggressive cancers and rare diseases. Automated wet labs and robotics enable millions of experiments per week, feeding continuous learning into its AI models. -
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Eidogen-Sertanty Target Informatics Platform (TIP)
Eidogen-Sertanty
Eidogen-Sertanty's Target Informatics Platform (TIP) is the world's first structural informatics system and knowledgebase that enables researchers with the ability to interrogate the druggable genome from a structural perspective. TIP amplifies the rapidly expanding body of experimental protein structure information and transforms structure-based drug discovery from a low-throughput, data-scarce discipline into a high-throughput, data-rich science. Designed to help bridge the knowledge gap between bioinformatics and cheminformatics, TIP supplies drug discovery researchers with a knowledge base of information that is both distinct from and highly complementary to information furnished by existing bio- and cheminformatics platforms. TIP's seamless integration of structural data management technology with unique target-to-lead calculation and analysis capabilities enhances all stages of the discovery pipeline. -
11
Correlation Engine
Illumina
Correlation Engine is an interactive omics knowledgebase that puts private omics data in a biological context with highly curated public data. One of the largest biological databases in the world, Correlation Engine provides life science researchers with unprecedented access to vast numbers of high-quality whole-genome analyses and insightful scientific tools. The knowledgebase enables novel discoveries by interrogating billions of data points derived from standardized analyses of whole genome studies. A suite of applications to determine biological context, a continually growing library of curated data sets, and support for multiple species and multi-omic datasets. Utilize a simple graphical user interface to leverage guided workflows, push-button applications, and APIs. Accelerate your journey from omic data to decision and get access to over 25,000 multi-omics studies (from over 250,000 signatures) that have been reanalyzed. -
12
Kanteron
Kanteron Systems
Kanteron Platform ingested medical images, digital pathology slides, genomics sequences, and patient data from modalities, scanners, sequencers and databases, and provided a complete data toolkit to every team in hospital networks. Pharmacogenomics for adverse medication event prevention, and Precision Medicine application at the point of care: Incorporates sources of drug-gene interaction data that were previously only available in in accessible formats (e.g. tables in a PDF document), implementing the major Pharmacogenomic databases (like PharmGKB, CGI, DGIdb, OpenTargets...) Allows the user to refine their query to certain gene families, types of interactions, classes of drugs, etc. Flexible AI means you can choose the data set that best fits your use case, and apply it to your relevant medical images. -
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OmicsBox
BioBam Bioinformatics S.L.
OmicsBox is a leading bioinformatics solution that offers end-to-end data analysis of genomes, transcriptomes, metagenomes, and genetic variation studies. The application is used by top private and public research institutions worldwide and allows researchers to easily process large and complex data sets, and streamline their analysis process. It is designed to be user-friendly, efficient, and with a powerful set of tools to extract biological insights from omics data. The software is structured in different modules, each with a specific set of tools and functions designed to perform different types of analysis, such as de-novo genome assemblies, genetic variation analysis, differential expression analysis, and taxonomic classifications of microbiome data, including the functional interpretation and rich visualizations of results. The functional analysis module includes the popular Blast2GO annotation methodology and makes OmicsBox particularly suited for non-model organism researchStarting Price: €100/month/seat -
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Nygen
Nygen
Nygen is a cloud-based single-cell RNA-seq (scRNA-seq) and multi-omics data analysis and discovery platform designed to let researchers upload, explore, visualize, analyze and interpret complex cellular datasets with an intuitive, no-code interface that supports drag-and-drop workflows and advanced scientific analysis without requiring programming expertise; it combines Nygen Analytics for rapid, reproducible scRNA-seq exploration with collaborative dashboards and publication-ready outputs, Nygen Database for accessing and hosting curated single-cell datasets to accelerate research and comparative studies, and Nygen Insights, an AI-augmented tool that delivers highly accurate cell annotations, in-depth disease impact analysis and tailored biological insights; it supports a wide range of data formats, integrates public data, enables secure cloud-based collaboration, and provides features like literature-linked evidence and biomarker-focused analyses. -
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Amazon Bio Discovery
Amazon
Amazon Bio Discovery is an AI-powered application designed to accelerate early-stage drug discovery by combining computational biology models with real-world laboratory testing in a unified, “lab-in-the-loop” workflow. It provides scientists with direct access to a broad catalog of biological foundation models trained on large-scale biological datasets, enabling them to generate and evaluate potential drug candidates such as antibodies with greater speed and precision. Through an integrated AI agent, users can interact in natural language to select appropriate models, configure experiments, and optimize inputs without requiring advanced coding or infrastructure expertise. It allows researchers to build multi-step pipelines that combine different models, benchmark their performance, and reuse workflows across teams, improving collaboration between computational biologists and lab scientists. -
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Genospace
Genospace
At Genospace, we understand that genomics is driving the development of precision medicine, yet scaling its delivery is an unsolved challenge. We’re here to help. Our platform is designed to make biomedical data meaningful and accessible to everyone, especially those on the front lines of care delivery. Arm your clinicians and researchers with the information they need to make informed decisions and join us in our mission of leveraging high-dimensional molecular data to improve individual patient outcomes and accelerate drug development and research. Large-scale population data is necessary for drug development and research. Conduct cohort-driven analyses to inform your research activities with the Genospace platform. We specialize in clinical trial research. Use the Genospace platform to match fragmented patient data to complex trial criteria and expedite patient accruals. Integrate genomic medicine into mainstream clinical care with the Genospace platform. -
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Schrödinger
Schrödinger
Transform drug discovery and materials research with advanced molecular modeling. Our physics-based computational platform integrates differentiated solutions for predictive modeling, data analytics, and collaboration to enable rapid exploration of chemical space. Our platform is deployed by industry leaders worldwide for drug discovery, as well as for materials science in fields as diverse as aerospace, energy, semiconductors, and electronics displays. The platform powers our own drug discovery efforts, from target identification to hit discovery to lead optimization. It also drives our research collaborations to develop novel medicines for critical public health needs. With more than 150 Ph.D. scientists on our team, we invest heavily in R&D. We’ve published over 400 peer-reviewed papers that demonstrate the strength of our physics-based approaches, and we’re continually pushing the limits of computer modeling. -
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StrandOmics
Strand Life Sciences
Efficient reporting of NGS-based clinical tests requires a robust and mature platform for automatic variant prioritization, clinical interpretation and report generation. Strand Omics is a fast, HIPAA-compliant cloud-based platform that drives our clinical diagnostics practice. It has been honed over 4 years and over 10,000 clinical reports and multiple peer-reviewed publications. Strand Omics combines bioinformatics algorithms, curated databases, visualization interfaces and reporting capabilities. It has specialized workflows for both rare inherited disorders as well as somatic tumor profiling tests. The platform contains over 10,000 somatic variants curated for oncogenicity, 100 genes curated for druggability in multiple cancer types and 500 drugs curated for evidence in multiple cancer types. -
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NVIDIA Clara
NVIDIA
Clara’s domain-specific tools, AI pre-trained models, and accelerated applications are enabling AI breakthroughs in numerous fields, including medical devices, imaging, drug discovery, and genomics. Explore the end-to-end pipeline of medical device development and deployment with the Holoscan platform. Build containerized AI apps with the Holoscan SDK and MONAI, and streamline deployment in next-generation AI devices with the NVIDIA IGX developer kits. The NVIDIA Holoscan SDK includes healthcare-specific acceleration libraries, pre-trained AI models, and reference applications for computational medical devices. -
20
Atomwise
Atomwise
We use our AI engine to transform drug discovery. Our discoveries help create better medicines faster. Our AI-enabled discovery portfolio includes wholly-owned and co-developed pipeline assets, and is backed by prominent investors. Atomwise developed a machine-learning-based discovery engine that combines the power of convolutional neural networks with massive chemical libraries to discover new small-molecule medicines. The secret to reinventing drug discovery with AI is people. We are dedicated to developing the best AI platform and using it to transform small molecule drug discovery. We have to tackle the most challenging, seemingly impossible targets and streamline the drug discovery process to give drug developers more shots on goal. Computational efficiency enables screening of trillions of compounds in silico, increasing the likelihood of success. Demonstrated exquisite model accuracy, overcoming the challenge of false positives. -
21
Healnet
Healx
Rare diseases are often not well studied and there is a limited understanding of many of the aspects necessary to support a drug discovery program. Our AI platform, Healnet, overcomes these challenges by analyzing millions of drug and disease data points to find novel connections that could be turned into new treatment opportunities. By applying frontier technologies across the discovery and development pipeline, we can run multiple stages in parallel and at scale. One disease, one target, one drug: it's an overly simple model, yet it's the one used by nearly all pharmaceutical companies. The next generation of drug discovery is AI-powered, parallel and hypothesis-free. Bringing together the key three drug discovery paradigms. -
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SciSpace BioMed Agent
SciSpace
SciSpace BioMed is a domain-native AI “co-scientist” for biomedical research that combines a vast literature database with 150+ integrated bio-tools and 100+ academic databases and software suites to streamline complex research workflows, from genomics and single-cell analysis to drug discovery and clinical genomics. It enables researchers to ask natural-language questions, ingest datasets, interpret variants or multi-omics data, design cloning or wet-lab workflows, reason about clinical or disease biology, and generate publication-ready outputs (e.g., figures, tables, and presentations) with full transparency and citations. Users can interact with scientific papers via “chat with PDF,” highlight confusing text, math, or tables, and get clear explanations, ideal for understanding difficult methods or concepts. For literature review or exploratory research, its AI-driven semantic search accesses millions of papers and returns citation-backed summaries.Starting Price: $12 per month -
23
AIDDISON
Merck KGaA
AIDDISON™ drug discovery software combines the power of artificial intelligence (AI), machine learning (ML), and 3D computer-aided drug design (CADD) methods to act as a valuable toolkit for medicinal chemistry needs. As a unified platform for efficient and effective ligand-based and structure-based drug design, it integrates all the facets for virtual screening and supports methods for in-silico lead discovery and lead optimization. -
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Genomenon
Genomenon
Pharma companies need comprehensive genomic information to drive successful precision medicine programs, but decisions are often made using only a fraction of the data available, about 10%. Genomenon delivers 100% of the data. An efficient and cost-effective natural history research solution for pharma, ProdigyTM Patient Landscapes support the development of rare disease therapies by enhancing insights contained in retrospective and prospective health data. Using a powerful AI-driven approach, Genomenon delivers a comprehensive and expert assessment of every patient in the published medical literature, in a fraction of the time. Don’t miss anything, get insight into every genomic biomarker published in the medical literature. Every scientific assertion is supported by empirical evidence from the medical literature. Identify all genetic drivers and pinpoint which variants are known to be pathogenic according to ACMG clinical standards. -
25
LiveDesign
Schrödinger
LiveDesign is an enterprise informatics platform that enables teams to rapidly advance drug discovery projects by collaborating, designing, experimenting, analyzing, tracking, and reporting in a centralized platform. Capture ideas alongside experimental and modeling data. Create and store new virtual compounds in a centralized database, evaluate through advanced models, and prioritize new designs. Integrate biological data and model results across federated corporate databases, apply sophisticated cheminformatics to analyze all data at once, and progress compounds faster. Drive predictions and designs using advanced physics-based methods paired with machine learning techniques to rapidly improve prediction accuracy. Work together with remote team members in real-time. Share ideas, test, revise, and advance chemical series without losing track of your work. -
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GeoMx Digital Spatial Profiler (DSP)
nanoString
Quickly resolve tissue heterogeneity and the complexity of microenvironments with the GeoMx Digital Spatial Profiler (DSP), the most flexible and robust spatial multi-omic platform for analysis of FFPE and fresh frozen tissue sections. GeoMx is the only spatial biology platform that non-destructively profiles the expression of RNA and protein from distinct tissue compartments and cell populations with an automated and scalable workflow that integrates with standard histology staining. Spatially profile the whole transcriptome and 570+ protein targets separately or simultaneously from your choice of sample inputs: whole tissue sections, tissue microarrays (TMAs), or organoids. Make GeoMx DSP your spatial biology platform of choice for biomarker discovery and hypothesis testing. Decide where to draw the line and let the tissue be your guide with biology-driven profiling that empowers you to choose the tissue microenvironments and cell types that matter most to you. -
27
GPT-Rosalind
OpenAI
GPT-Rosalind is a purpose-built frontier reasoning model developed by OpenAI to accelerate scientific research across biology, drug discovery, and translational medicine. It is designed specifically for life sciences workflows, where researchers must navigate large volumes of literature, experimental data, and specialized databases to generate and validate new ideas. It combines deep domain understanding in areas such as chemistry, genomics, protein engineering, and disease biology with advanced tool-use capabilities, allowing it to interact with scientific databases, analyze experimental outputs, and support complex, multi-step reasoning tasks. It can assist with evidence synthesis, hypothesis generation, literature review, sequence interpretation, and experimental planning, helping scientists move faster from raw data to actionable insights. GPT-Rosalind transforms complex, time-intensive research processes into more efficient AI-assisted workflows. -
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Cerella
Optibrium
Proven AI-powered drug discovery. Cerella creates new value from your drug discovery data, revealing hidden insights into the best compounds and most valuable experiments for your project. It makes confident predictions, accurately filling in missing values, especially for expensive downstream experiments that can’t be predicted by other methods. This enables you to do more, even with sparse, limited data sets. -
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HPE Apollo
HPE
Defined by data growth, converged workloads, and digital transformation, the exascale era marks the start of a new era of discovery that demands a new era of capabilities. New infrastructure needs to support a diversity of processor technologies and data-intensive workloads in the architecture to support the converged use of analytics, AI, and HPC to unlock the potential of your data and accelerate innovation. Now you can solve your most complex problems with affordable access to supercomputing with HPE Apollo systems. The HPE Apollo systems with rack-scale efficiency deliver just the right amount of performance and adaptability with flexible systems that are optimized for HPC and AI workloads. Keep pace with your growth and adapt to various workloads. HPE Apollo 2000 Gen10 Plus system provides a density-optimized system that can support up to four hot-plug servers in a 2U chassis. It delivers the flexibility to tailor the system to the precise needs of your demanding HPC workload. -
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DNAnexus Titan
DNAnexus
DNAnexus Titan™ powers the future of genomics research and clinical pipelines with trusted, high-performance data analysis solutions. Legacy informatics tools were not designed to manage today's higher volumes of sequencing data. With home-grown, do-it-yourself systems, research centers and clinical diagnostic testing companies are finding it difficult and time-consuming to create, refine, validate, and execute pipelines at scale. DNAnexus Titan™ removes bottlenecks in development and production with a unified platform that brings all your data and pipelines together in one place and delivers unparalleled efficiencies. Leave the heavy lifting of managing industry and region-specific security and compliance requirements to us, while meeting the growing global demand for sequencing data. -
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BC Platforms
BC Platforms
BC platforms leverages latest science, unique technology capabilities, and strategic partnerships to achieve our mission of revolutionizing drug discovery and personalizing care. Modular, highly configurable platform for integrated healthcare data. Open analytics framework seamlessly combining latest innovative methods, analytics and technology developments in one single platform. Superior security: ISO 27001 certified, GDPR and HIPAA compliance. Complete product portfolio enabling a modern healthcare system to fully embrace personalized medicine. Scalable deployments enabling a robust start as well as large scale healthcare operation. Accelerated translation of research insights into clinical practice with our unique end to end toolbox. We help reduce your risk, enhance your pipeline value and advance your enterprise data strategy by solving the barriers of data access and enabling rapid insight generation. -
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Scitara DLX
Scitara
Scitara DLX™ offers a rapid connectivity infrastructure for any instrument in the life science laboratory in a fully compliant and auditable cloud-based platform. Scitara DLX™ is a universal digital data infrastructure that connects any instrument, resource, app and software in the laboratory. The cloud-based, fully auditable platform connects all data sources across the lab, allowing the free flow of data across multiple end points. This allows scientists to devote their time to scientific research, not waste it solving data issues. DLX curates and corrects data in flight to support the development of accurate, properly structured data models that feed AI and ML systems. This supports a successful digital transformation strategy in the pharma and biopharma industries. Unlocking insights from scientific data enables faster decision-making in drug discovery and development, helping bring drugs to market more quickly. -
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Cytel
Cytel
Cytel is a leading global provider of clinical trial design software, biometric services, and advanced analytics, specializing in optimizing clinical trials and assisting pharmaceutical companies in unlocking the full potential of their clinical and real-world data. Founded in 1987 by distinguished statisticians Cyrus Mehta and Nitin Patel, Cytel has been at the forefront of adaptive clinical trial technology and biostatistical science. Our software solutions, including the East Horizon platform, empower precise trial design and simulation, utilizing adaptive and Bayesian tools to optimize protocols and accelerate drug development. The East Horizon platform integrates key components of Cytel's trusted software portfolio into a unified solution with R integration, enhancing trial design capabilities. Additionally, Cytel offers the Xact software suite, a comprehensive toolkit for statistical analyses of small datasets, and sparse, and missing data. -
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Qlucore Omics Explorer
Qlucore
Qlucore Omics Explorer is so easy to use that you no longer have to depend on an expert in bioinformatics to explore and analyze your Omics and NGS data sets. Qlucore Omics Explorer is a D.I.Y next-generation bioinformatics software for research in life science, plant- and biotech industries, as well as academia. The powerful and flexible visualization-based data analysis tool with inbuilt powerful statistics delivers immediate results and provides instant exploration and visualization of big data. The software is developed to allow the workflow which best suits you and your experiments and maximizes the outcome of your research. By combining instant visualization with powerful statistics and flexible selection methods, you will be able to see your results immediately. As a user, you decide your own workflow and starting point. You are in control and can tailor the exploration to meet your specific needs. -
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Simulations Plus
Simulations Plus
Our reputation as thought leaders in the areas of ADMET property prediction, physiologically-based pharmacokinetics (PBPK) modeling, pharmacometrics, and quantitative systems pharmacology/toxicology is earned through the success our clients have found through their relationship with us. We have the talent and 20+ years of experience to translate science into user-friendly software and provide expert consulting supporting drug discovery, clinical development research, and regulatory submissions. -
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CDD Vault
Collaborative Drug Discovery
With CDD Vault, you can intuitively organize chemical structures and biological study data, and collaborate with internal or external partners through an easy to use web interface. Start your free trial and see first hand how easy it is to manage drug discovery data. Tailored for you Affordable Scales with your project team(s) Activity & Registration * Electronic Lab Notebook (ELN) * Visualization * Inventory * APIs * Secure Online Hosting -
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BIOiSIM
VERISIMLife
BIOiSIMTM is a first-in-class 'virtual drug development engine' that offers unprecedented value for the drug development industry by narrowing down the number of drug compounds that offer anticipated value for the treatment or cure of specific illnesses or diseases. We offer a range of translational-based solutions, customized for your pre-clinical and clinical programs. These offerings are all centered around our proven and validated BIOiSIMTM platform for small molecules, large molecules, and viruses. Our models are built on data from thousands of compounds across 7 species, leading to robustness rarely seen in the industry. With a focus on human outcomes, the platform has at its core a translatability engine that transforms insights across species. The BIOiSIMTM platform can be used before the preclinical animal trial start, allowing earlier insights and savings in expensive outsourced experimentation. -
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Mass Dynamics
Mass Dynamics
Discover biological biomarkers, create insights into disease mechanisms, discover new drugs or identify changes in protein levels from a set of carefully designed experiments. We’ve made it easy to start unlocking the power of MS and Proteomics so you can focus on the biological complexity and move closer to the moment of discovery. Our automated and repeatable workflow allows for quicker experiment startup and turnaround times, giving you the control and flexibility to make and act on decisions in the moment. Allowing you to focus on biological insights and human-to-human collaboration, our proteomics data processing workflow is built to scale, repeatedly. We’ve pushed heavy and repetitive processing to the cloud, enabling a seamless and enjoyable experience. Our intelligent Proteomics workflow seamlessly integrates complex moving parts to enable larger experiments to be processed and analyzed with ease. -
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Bruker Drug Discovery
Bruker
Bringing a new drug into the market, from the first step to the final market introduction, is a time-consuming, highly regulated, and expensive process, which can take a decade or more. Final success crucially depends on the early availability of accurate analytical results, fast enough for taking the right decisions at the beginning of the development and minimizing late attrition rates. Today’s drug development is mainly based on a rational approach where typically establishing the biological target to focus on is the first key step. This target identification requires a deep understanding of the candidates´ properties to identify the most promising ones as quickly and reliable as possible. Once a biological target has been established, finding the most promising lead molecules is often seen as the next challenge. Typically, lead discovery is the identification of potential drug candidates – either small organic molecules or biologic assemblies with therapeutic potential. -
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BioTuring Browser
BioTuring Browser
Explore hundreds of curated single-cell transcriptome datasets, along with your own data, through interactive visualizations and analytics. The software also supports multimodal omics, CITE-seq, TCR-seq, and spatial transcriptomic. Interactively explore the world's largest single-cell expression database. Access and query insights from a single-cell database of millions of cells, fully annotated with cell type labels and experimental metadata. Not just creating a gateway to published works, BioTuring Browser is an end-to-end solution for your own single-cell data. Import your fastq files, count matrices, Seurat, or Scanpy objects, and reveal the biological stories inside them. Get a rich package of visualizations and analyses in an intuitive interface, making insight mining from any curated or in-house single-cell dataset become such a breeze. Import single-cell CRISPR screening or Perturb-seq data, and query guide RNA sequences.Starting Price: Free -
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Crosby Health Apollo
Crosby Health
Thousands of providers use Apollo by Crosby Health to generate, submit, and track appeals. Reducing the provider burden from clinical denials. Apollo has been trained to understand the clinical context and beats every other medical language model on core metrics. Apollo has been fine-tuned to handle billing tasks with high precision such as auditing, charge capture, and denial management. The fastest clinical language model with the largest context length. Outputs are generated on average at 60 words per second and can intake up to 300 pages. Our AI crafts winning appeal letters for every denial with meticulous arguments for maximum recovery. Eliminate multiple payor portals and fax numbers. One platform that submits and tracks every appeal. Eliminate the provider burden to generate appeals. AI trained to identify medical necessity within documentation. One-click submission to any insurance company. -
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VeraChem
VeraChem
VeraChem LLC was founded in 2000 to advance the state of the art in computer-aided drug discovery and molecular design by developing computational chemistry methods that are based on cutting-edge basic science but are also applicable in applied science research settings. Efficient high-performance software implementations of these methods coupled with comprehensive user support are a central company strategy for product development. Current VeraChem software capabilities include protein-ligand and host-guest binding affinity prediction, fast calculation of accurate partial atomic charges for drug-like compounds, computation of energies and forces with all the commonly used empirical force fields, automatic generation of alternate resonance forms of drug-like compounds, conformational search with the powerful Tork algorithm, and automatic detection of topological and 3D molecular symmetries. VeraChem’s software packages are constructed from a modular code base. -
43
Genedata Biologics
Genedata
Genedata Biologics® streamlines discovery of biotherapeutics including bispecifics, ADCs, TCRs, CAR-Ts, and AAVs. The most widely adopted platform across the industry, it integrates all discovery workflows so you can focus on true innovation. Accelerate research with a first-in-class platform uniquely designed from the start to digitalize biotherapeutic discovery. The platform facilitates complex R&D processes by designing, tracking, testing, and assessing novel biotherapeutics drugs. It works with any format, from antibodies, bi- or multi-specifics, ADCs, novel scaffolds, and therapeutic proteins, to engineered therapeutic cell lines such as TCRs and CAR-T cells. Acting as a central end-to-end data backbone, Genedata Biologics integrates all R&D processes, from library design and immunizations, selections and panning, molecular biology, screening, protein engineering, expression, purification, and protein analytics, to candidate developability and manufacturability assessments. -
44
Discngine Assay
Discngine
Discngine Assay is a laboratory informatics platform that integrates every phase of plate-based assays into a cohesive, compliant, and efficient workflow, making it an essential tool for screening research labs. It enables scientists to streamline the entire High Throughput Screening workflow, from sample management and assay data analysis to data warehousing and liquid handling equipment qualification. With its intuitive interface and robust API, Discngine Assay integrates seamlessly with Lab equipments and existing IT environment, ensuring efficient data capture and processing. Designed to accelerate new molecule discovery, it addresses the needs of pharmaceutical, biotech, and CRO industries, enhancing collaboration and driving innovation in life science research. -
45
3decision
Discngine
3decision® is a cloud-based protein structure repository designed for comprehensive structural data management and advanced analytics, enabling small molecule and biologics discovery teams to accelerate structure-based drug design. It centralizes and standardizes experimental and in-silico protein structures from public sources like RCSB PDB and AlphaFoldDB, as well as proprietary data, supporting formats like PDBx/mmCIF and ModelCIF. This ensures easy access to X-Ray, NMR, cryo-EM, and modeled structures, fostering collaboration and enhancing research efforts. Beyond storage, 3decision® enriches entries with metadata and sequence information, including protein-ligand interactions, antibody annotations, and binding site details. Advanced analytical tools identify druggable sites, assess off-target risks, and enable binding site comparisons, transforming vast structural data into actionable knowledge. Its cloud-based platform facilitates collaboration among research teams. -
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ROSALIND
ROSALIND
Generate greater return on research and improve team productivity. Extend private and public data across teams with interactive data visualization. Rosalind is the only multi-tenant SaaS platform designed for scientists. Analyze, interpret, share, plan, validate, and generate new hypotheses. Code-free visualization, AI-powered interpretation, best-in-class collaboration. Scientists of every skill level can benefit from ROSALIND since no programming or bioinformatics skills are required. With powerful downstream analysis and collaboration, ROSALIND is a discovery platform and data hub connecting experiment design, quality control, and pathway exploration. ROSALIND automatically manages tens of thousands of compute cores and petabytes of storage to dynamically scale up and down for every experiment to deliver results. Instantly share results with other scientists across the globe with audit tracking so everyone can focus on the interpretation, not the processing.Starting Price: $3,250 per month -
47
DrugPatentWatch
DrugPatentWatch
Global biopharmaceutical drug patent and generic entry business intelligence. Anticipate future budget requirements and proactively identify generic sources. Assess past successes of patent challengers and elucidate research paths of competitors. Inform portfolio management decisions on future drug development. Predict branded drug patent expiration, identify generic suppliers, and prevent overstock of branded drugs. Obtain formulation and manufacturing information; identify final formulators, repackagers, and relabelled.Starting Price: $250 per month -
48
XetaBase
Zetta Genomics
The unique XetaBase platform simplifies tertiary analysis, aggregating, indexing, and enriching secondary genomic data, enabling continual re-interpretation to unlock research and clinical insight. XetaBase accelerates data management and the cost-effective application of genomic data in the lab and clinic. XetaBase encompasses genomic scale, the greater the volume and complexity, the greater the insight and outcomes. XetaBase is a genomic-native technology, built on the open-source, OpenCB software platform to meet the scale, speed, and re-interpretation demands of genomic medicine. Zetta Genomics delivers genomic data management fit for the precision medicine age. XetaBase is a completely novel solution to the challenges of genomic data. It sweeps away obsolete flat file approaches to bring meaningful and actionable genomic data into the lab and the clinic. XetaBase empowers continual re-interpretation while scaling seamlessly as databases grow to encompass genome sequences. -
49
Apollo
Apollo.io
Apollo is an all-in-one sales intelligence platform with tools to help you prospect, engage, and drive more revenue. Sellers and marketers use Apollo to discover more customers in market, connect with contacts, and establish a modern go-to-market strategy. Apollo's B2B Database includes over 220M contacts and 30M companies with robust and accurate data. Teams leverage Apollo’s Engagement Suite to scale outbound activity and sequences effectively. Finally, up-level your entire go-to-market processes with Apollo's Intelligence Engine with recommendations and analytics that help you close. Founded in 2015, Apollo.io is a leading data intelligence and sales engagement platform trusted by over 10,000 customers, from rapidly growing startups to global enterprises.Starting Price: $49 per user per month -
50
Azenta Life Sciences
Azenta Life Sciences
Azenta Life Sciences offers scalable, powerful, and flexible informatics sample processing solutions that enable lab systems to efficiently deploy across all sites and utilize built-in project and diagnostic operations management functionality. We provide unrivaled sample exploration and management solutions to help you accelerate discovery, development, and delivery. Azenta Life Sciences offers cloud-based informatics solutions for sample processing that automate laboratory workflows and optimize staff workload through standardized processes. The software offers modules that manage clinical trials, families and patients, informed consent, storage, diagnostics, next-generation sequencing, and sample processing. Interfaces with external data sources and offers flexible options to integrate 3rd party systems and instruments.
