Alternatives to InSilicoTrials
Compare InSilicoTrials alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to InSilicoTrials in 2026. Compare features, ratings, user reviews, pricing, and more from InSilicoTrials competitors and alternatives in order to make an informed decision for your business.
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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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BIOVIA Discovery Studio
Dassault Systèmes
Today’s biopharmaceutical industry is marked by complexity: growing market demands for improved specificity and safety, novel treatment classes and more intricate mechanisms of disease. Keeping up with this complexity requires a deeper understanding of therapeutic behavior. Modeling and simulation methods provide a unique means to explore biological and physicochemical processes down to the atomic level. This can guide physical experimentation, accelerating the discovery and development process. BIOVIA Discovery Studio brings together over 30 years of peer-reviewed research and world-class in silico techniques such as molecular mechanics, free energy calculations, biotherapeutics developability and more into a common environment. It provides researchers with a complete toolset to explore the nuances of protein chemistry and catalyze discovery of small and large molecule therapeutics from Target ID to Lead Optimization. -
3
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. -
4
BioSymetrics
BioSymetrics
We integrate clinical and experimental data using machine learning to navigate human disease biology and advance precision medicines. Our patent-pending Contingent AI™ understands relationships within the data to provide sophisticated insights. We address data bias by iterating on machine learning models based upon decisions made in the pre-processing and feature engineering stages. We leverage zebrafish, cellular and other phenotypic animal models to validate in silico predictions in vivo experiments and genetically modify them in vitro and in vivo, to improve translation. Using active learning and computer vision on validated models for cardiac, central nervous system and rare disorders, we rapidly incorporate new data into our machine learning models. -
5
StarDrop
Optibrium
With its comprehensive suite of integrated software, StarDrop™ delivers best-in-class in silico technologies within a highly visual and user-friendly interface. StarDrop™ enables a seamless flow from the latest data through predictive modeling to decision-making regarding the next round of synthesis and research, improving the speed, efficiency, and productivity of the discovery process. Successful compounds require a balance of many different properties. StarDrop™ guides you through this multi-parameter optimization challenge to target compounds with the best chance of success, saving you time and resources by enabling you to synthesize and test fewer compounds. -
6
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. -
7
AQBioSim
SandboxAQ
AQBioSim is a cloud-native platform developed by SandboxAQ that leverages Large Quantitative Models (LQMs) grounded in physics and chemistry to revolutionize materials discovery and optimization. By integrating Density Functional Theory (DFT), Iterative Full Configuration Interaction (iFCI), Generative AI, Bayesian Optimization, and Chemical Foundation Models, AQBioSim enables high-fidelity simulations of molecular and material behaviors under real-world conditions. AQBioSim's capabilities include predicting performance under various stresses, accelerating formulation through in silico testing, and exploring sustainable chemical processes. Notably, AQBioSim has demonstrated significant advancements in battery technology by reducing lithium-ion battery end-of-life prediction time by 95%, achieving 35x greater accuracy with 50x less data. -
8
XPS (eXtended Particle Simulations)
InSilicoTrials
XPS, or eXtended Particle Simulations, is a state-of-the-art Discrete Element Method simulation software developed by RCPE and distributed globally by InSilicoTrials for high-fidelity particle-based process simulation. Designed specifically for pharmaceutical applications, XPS accurately predicts powder and granular behavior, helping teams better understand, predict, and control pharmaceutical unit operations. It relies on advanced contact models to describe the flow behavior of granular materials and uses massively parallel algorithms optimized for modern GPUs to accelerate simulations, including simulations with up to 100 million particles. XPS helps pharmaceutical engineers assess process configurations in unprecedented detail, explore decision space virtually, reduce costly and time-consuming physical experiments, and support data-driven process development. -
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BIOVIA Materials Studio
Dassault Systèmes
BIOVIA Materials Studio is a comprehensive modeling and simulation environment designed to enable researchers in materials science and chemistry to predict and understand the relationships between a material’s atomic and molecular structure and its properties and behavior. Utilizing an "in silico first" approach allows for the optimization of material performance in a cost-effective virtual setting prior to physical testing. It supports a wide range of materials, including catalysts, polymers, composites, metals, alloys, pharmaceuticals, batteries, and more. It offers tools for quantum, atomistic, mesoscale, statistical, analytical, and crystallization simulations, facilitating the design of advanced materials across various industries. Features include the ability to accelerate innovation, reduce R&D costs through virtual screening, and improve efficiency by automating best practices within Pipeline Pilot. -
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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. -
11
Goodfire AI
Goodfire AI
Goodfire helps teams understand and debug AI models by uncovering the hidden representations inside neural networks and removing the guesswork from AI training, moving model development from alchemy to precision engineering. Its platform, Silico, is built for intentional model design, letting teams build AI models with the precision of written software by seeing what models have learned, finding undesired behavior, and making targeted interventions to improve performance. Goodfire’s methods reverse engineer the causal mechanisms of AI to reveal internal structure, uncover novel science, and validate when predictions reflect true understanding. It helps teams precisely debug model behavior, identify and remove confounders, diagnose failures before they occur in production, and control training so the model learns what is intended with less data and fewer off-target effects. It works across different types of AI models, including life sciences models, robotics, and vision models. -
12
AQChemSim
SandboxAQ
AQChemSim is a cloud-native platform developed by SandboxAQ that leverages Large Quantitative Models (LQMs) grounded in physics and chemistry to revolutionize materials discovery and optimization. By integrating Density Functional Theory (DFT), Iterative Full Configuration Interaction (iFCI), Generative AI, Bayesian Optimization, and Chemical Foundation Models, AQChemSim enables high-fidelity simulations of molecular and material behaviors under real-world conditions. AQChemSim's capabilities include predicting performance under various stresses, accelerating formulation through in silico testing, and exploring sustainable chemical processes. Notably, AQChemSim has demonstrated significant advancements in battery technology by reducing lithium-ion battery end-of-life prediction time by 95%, achieving 35x greater accuracy with 50x less data. -
13
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. -
14
SpliceCore
Envisagenics
Using RNA sequencing (RNA-seq) data and Artificial Intelligence are both a necessity and an opportunity to develop therapeutics that target splicing errors. The use of machine learning enables us to discover new splicing errors and quickly design therapeutic compounds to correct them. SpliceCore is our dedicated AI platform for RNA therapeutics discovery. We developed this technology platform specifically for the analysis of RNA sequencing data. It can identify, test and validate hypothetical drug targets faster than traditional methods. At the heart of SpliceCore is our proprietary database of more than 5 million potential RNA splicing errors. It is the largest database of splicing errors in the world and it is used to test every RNA sequencing dataset that is input for analysis. Scalable cloud computing enables us to process massive amounts of RNA sequencing data efficiently, at higher speed and lower cost, exponentially accelerating therapeutic innovation. -
15
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. -
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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. -
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Kaleido
Kaleido
The microbiome is implicated in numerous diseases and health conditions. Learn how Kaleido is leading a differentiated approach to translating the promise of the microbiome into solutions for patients. The human microbiome is a community of more than 30 trillion microbes, organisms that include bacteria, viruses, archaea and fungi, which reside on and inside the human body. Over the last decade, research has increased exponentially on the impact the microbiome has on human health, including cardiovascular disease, cancer, diabetes, Parkinson’s disease and allergies. This highly complex microbial ecosystem has been referred to as a “newly discovered organ.” Many other human organs command tens of billions of dollars for therapeutics that treat disease by modulating physiology. From a therapeutic perspective, the microbiome organ remains a largely untapped frontier in healthcare. -
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adWATCH
Atlant Systems
adWATCH - AE helps pharmaceutical organizations manage and report adverse events that occur during clinical trials. adWATCH - AE gives the reporter at a clinic, hospital, or investigative site a fast and effective means of generating and managing Adverse Event Reports (AERs) and reporting to the regulatory departments and government agencies. An adverse effect is a negative or dangerous effect experienced by a patient and caused by drugs and/or medical devices. Adverse event reporting requires the tracking of all medical complaint case information, resulting in the generation of MedWatch reports, CIOMS reports and additional reports for management. adWATCH - AE allows researchers, physician investigators, Contract Research Organizations (CROs), clinical trial specialists, and other health professionals to produce and file AERs in the FDA mandated MedWatch and/or CIOMS format.2 -
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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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SCIEX
SCIEX
When operating LC-MS/MS for research or routine workflows, you expect to achieve fast, accurate, and conclusive results. The SCIEX software suite helps you get the most out of your high-performance LC-MS/MS system. It includes specific workflow and application modules to supplement your operating system. As a result, your mass spectrometer runs with the ideal software combination, tailored to your needs. These are the core engines of SCIEX nominal mass and accurate mass LC-MS/MS systems. They are for rapid and reliable data acquisition, processing, and reporting, all with compliance readiness. Combine high performance and simplicity with add-on modules for optimized quantitative and qualitative workflows. Translate your data into conclusive results even faster with application-specific software modules. -
21
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. -
22
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. -
23
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. -
24
Sofpromed
Sofpromed
Sofpromed provides electronic data capture (EDC) systems for biotechnology, pharmaceutical, and medical device companies conducting phase I-IV clinical trials. An EDC system is a software tool used to collect, clean, and export data in clinical trials. Sofpromed’s EDC application is used in clinical trials worldwide across multiple therapeutic areas, including oncology, hematology, cardiovascular, metabolic, central nervous system (CNS), dermatology, infectious diseases, respiratory diseases, and pain, among others. Clear design, intuitive, and very easy to use. Quick data entry and navigation. Access control and data encryption. Fully web-based, no installations required. Daily data backups, seamless service. Works in multiple devices, browsers, and operating systems. Built-in monitoring, data management, and reporting tool. Meets HIPAA, GCP, and 21 CFR. Convenient billing model. monthly flat rate. -
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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. -
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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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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. -
28
Alchemite
Intellegens
Alchemite provides AI-augmented physical modeling and solutions that help organizations extract actionable insights from experimental and simulation data by combining machine learning with physics-informed models to improve prediction accuracy, reduce experimental costs, and optimize product and process development. Its solutions span materials discovery and design, predictive modelling of performance and reliability, multiscale modelling that connects atomistic to macroscopic behaviour, and automation of workflow tasks such as data integration, surrogate modelling, and model validation. It supports physics-aware neural networks and hybrid modelling approaches that respect underlying scientific laws while learning from data to enable faster and more accurate simulations, reduced reliance on expensive physical testing, and improved decision-making. Intellegens’ tools are applied in areas such as battery performance prediction, chemical process optimization, etc. -
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Owkin
Owkin
Patients from around the world suffer from complex diseases and a staggering variety of symptoms. However, they share one thing in common: Patients have a need for faster development of safer and more effective therapies. Owkin’s mission is to empower researchers in hospitals, universities, and pharmaceutical companies to: understand why drug efficacy varies from patient to patient, enhance the drug development process, and identify the best drug for the right patient to improve treatment outcomes. Owkin Loop is the foundation of Owkin’s research platform: it connects medical researchers with high-quality datasets from leading academic research centers around the world. Owkin Loop is powered by the two main components of Owkin’s Software Stack: Owkin Studio, our machine learning platform, and Owkin Connect, our federated learning framework. Owkin medical research collaborations are in Oncology, Immunology and Cardiovascular diseases. -
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Orcanos
Orcanos
Orcanos is a medical device quality and development platform that unifies eQMS, ALM, design control, document control, and risk management in one system. It helps MedTech teams connect R&D and Quality workflows so requirements, risks, validations, documents, and audit evidence stay traceable. The platform supports compliance needs such as ISO 13485, EU MDR, ISO 14971, FDA requirements, and 21 CFR Part 11. Orcanos includes customizable workflows, electronic signatures, document lifecycle automation, training tasks, audit trails, access controls, and centralized quality records. Its integrated ALM tools help teams manage design inputs, verification, validation, DHF readiness, impact analysis, and product development changes. With AI assistance, rapid deployment, and one source of truth for regulated product data, Orcanos helps medical device companies reduce compliance friction and accelerate innovation. -
31
Close-Up CRM
Close-Up International
Close-Up International is a leading provider of market data and technology solutions tailored for the pharmaceutical and life sciences industry. With over 55 years of experience, Close-Up supports more than 650 clients across 50 countries by delivering high-quality, certified data and innovative analytic tools. Their solutions help companies assess market potential, target healthcare professionals, and optimize product launches. The platform integrates market, prescription, and sales data with CRM capabilities for a comprehensive view of market dynamics. Close-Up’s offerings are designed to improve decision-making and strengthen relationships between pharmaceutical companies and healthcare providers. They emphasize data security, holding ISO 9001 and 27001 certifications. -
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alvaModel
Alvascience
alvaModel is a software tool for building, validating, comparing, and applying QSAR and QSPR models. It supports regression and classification workflows based on molecular descriptors and fingerprints, with a strong focus on model transparency, interpretability, and scientific robustness. The software includes multiple data splitting strategies, variable selection methods, modeling algorithms, and comprehensive internal and external validation procedures. alvaModel provides diagnostic plots, applicability domain analysis, and model comparison tools to support the identification of reliable and predictive models. Designed according to best practices in chemometrics, alvaModel facilitates the development of interpretable models consistent with the OECD principles for QSAR validation, making it suitable for research and regulatory-oriented applications. The graphical interface guides users through the entire modeling workflow while allowing full control over each modeling step. -
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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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DoseMeRx
DoseMeRx
DoseMeRx is the world’s first and largest Bayesian dosing platform designed for clinical practice. Reach your clinical targets faster with our Bayesian dosing platform, clinically proven to significantly improve patient outcomes and lower costs. We’re the only Bayesian dosing platform in the world that’s HITRUST certified. Rest easy knowing that we insist on the highest level of patient data security and integrity. Achieve continuity of care across your health system in just a few clicks. Standardize workflows and optimize your therapeutic drug monitoring program with ease. We have a range of drug models across various therapeutic areas including; vancomycin and infectious disease, transplant medicine, cardiovascular and coagulation management, oncology and pediatrics. -
35
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. -
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Kivo
Kivo
Kivo is a better way to work for sponsors and CROs, offering an affordable document and process management system that helps life sciences teams get work done in one intuitive, compliant workspace. It brings DMS, RIM, QMS, eTMF, and eCTD capabilities together so pharmaceutical, biotech, medical device, and biologics teams can manage regulated documents, quality activities, clinical trial files, regulatory submissions, and process workflows without disconnected tools. Kivo’s Document Management System provides one place for controlled documents, process automation, project management, corporate documents, and diligence readiness, with centralized storage, version control, collaboration, audit trails, search, workflow automation, and Part 11-compliant e-signatures. Its RIM system supports correspondence, project management, submission building, publishing handoff, eCTD viewing, dossier management, agency interactions, health authority commitments, etc.Starting Price: $1,800 per month -
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Simpack
Dassault Systèmes
Simpack is a general multibody system simulation (MBS) software enabling analysts and engineers to simulate the non-linear motion of any mechanical or mechatronic system. It enables engineers to generate and solve virtual 3D models in order to predict and visualize dynamic motion, coupling forces and stresses. Simpack is used primarily within the automotive, engine, HIL/SIL/MIL, power transmission, railway, and wind energy industrial sectors, but can be applied to any branch of mechanical engineering. Simpack simulation software is particularly well-suited to high frequency transient analyses, even into the acoustic range. Simpack was primarily developed to handle complex non-linear models with flexible bodies and harsh shock contact. -
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Quality Connect
Montrium
Enterprise Quality Management Software in the cloud for the life sciences. In today’s complex operational environment, technology plays a vital role in ensuring that QA is made aware of the issues as they happen. Gaining insight into the performance of your quality management system and the current state of your operation helps you to be more proactive, which minimizes risk and eliminates costly delays. Montrium has designed its Enterprise Quality Management system (EQMS) to enable life science companies to tackle the quality challenges that they face in content management head-on. All of our SharePoint QMS modules can be used independently or together as a fully integrated quality management system. These modules are available as part of our Montrium Connect Platform and can be deployed on-premise or in the cloud. Perfect for pharmaceutical companies, contract manufacturing organizations, medical device companies. Built to achieve compliance with GMP and GCP requirements. -
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AnalyzeDirect
AnalyzeDirect
AnalyzeDirect is a research-oriented medical technology company specializing in the worldwide distribution and support of Analyze, a leading advanced biomedical imaging visualization, manipulation, and measurement software. Analyze 15.0 offers simple, intuitive image visualization and analysis for medical research, featuring sophisticated segmentation tools for fast and precise region definition, in-depth statistical analysis with robust measurement tools, powerful inter- and intra-modality registration for image fusion, a versatile array of display tools for image review and visualization, and filtering tools for image post-processing and optimization. The software supports over 45 file formats, including DICOM and common radiological and neurological formats, and is used by physicians, scientists, professors, and graduate students at top medical centers, universities, pharmaceutical companies, biotech companies, medical device companies, and contract research organizations worldwide. -
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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. -
41
Nova-QMS
Novatek International
Maintaining consistent product quality and quality processes can be challenging in today’s pharmaceutical manufacturing environments. Regulated industries such as the Pharmaceutical, Biotech and Life Sciences are required to maintain Good Manufacturing Practices (GMP) to meet regulatory requirements. Not only do you need to meet GMP requirements you must also be able to prove this. Using paper-based forms, disconnected systems, or manual processes to manage, track and report on quality issues and actions does not provide effective solutions for implementing harmonized, integrated quality management processes, which follow industry best practices. -
42
SpineNEXTGEN
Spine Software Systems
SpineNEXTGEN is the one-step GST compliant ERP solution for pharma companies. Built with a whole host of cutting edge features, including cost, sales, and purchase management, SpineNEXTGEN is the go-to ERP software for pharmaceutical industry. There has been a lack of a competitive ERP software system in pharmaceutical industries for quite some time now. SpineNEXTGEN brings to you a method to bridge this gap, providing the best pharma ERP solutions for companies looking to manage all aspects of their businesses in one place. If you are looking for the best ERP software for manufacturing and management in the pharma industry, then look no further than SpineNEXTGEN! -
43
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. -
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
Phoenix PK/PD Platform
Certara
With all the tools you need in a single, interoperable platform, effortlessly share pre-clinical and clinical knowledge across your organization through secure and consistent workflows using Phoenix-based tools and 3rd-party applications. Phoenix WinNonlin is the first choice for non-compartmental analysis (NCA), toxicokinetic modeling, and pharmacokinetic and pharmacodynamic (PK/PD) modeling by over 6,000 researchers at biopharmaceutical companies, academic institutions, and 11 global regulatory agencies, including the US FDA, EMA, PMDA and more. The Phoenix Platform also features population PK/PD (popPK) modeling with Phoenix NLME and Level A correlation via the Phoenix IVIVC Toolkit, Validation Suites provide fast and easy software validation in under 30 minutes. -
46
ArgusLab
ArgusLab
ArgusLab is a molecular modeling, graphics, and drug design program for Windows operating systems. It’s getting a little dated by now, but remains surprisingly popular. To date, there are more than 20,000 downloads. ArgusLab is freely licensed. You don’t need to sign anything. You can use as many copies as you need if you are teaching a class where your students might benefit from using ArgusLab. You are not allowed to redistribute ArgusLab from other websites or sources. However, you may link to this website from your own websites if you like. A low-key effort is currently underway to port ArgusLab to the iPad. In addition, I’ve done some work with the Qt cross-platform development environment in an effort to support Mac, PC, and Linux.Starting Price: Free -
47
FLOW-3D
Flow Science
Optimize product designs and reduce time to market with FLOW-3D, a highly-accurate CFD software that specializes in solving transient, free-surface problems. FLOW-3D‘s complete multiphysics suite includes our state-of-the-art postprocessor, FlowSight. FLOW-3D provides a complete and versatile CFD simulation platform for engineers investigating the dynamic behavior of liquids and gas in a wide range of industrial applications and physical processes. FLOW-3D focuses on free surface and multi-phase applications, serving a broad range of industries including microfluidics, bio-medical devices, water civil infrastructure, aerospace, consumer products, additive manufacturing, inkjet printing, laser welding, automotive, offshore, energy and automotive. A uniquely powerful, multiphysics tool, FLOW-3D provides the functionality, ease-of-use and power that helps engineers advance their modeling objectives. -
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Promethium
Promethium
Promethium is a GPU-powered chemistry simulation platform designed to accelerate drug and materials development by enabling faster and more accurate quantum chemistry calculations. Built from the ground up for NVIDIA datacenter GPUs like A100, it employs novel QC Ware streaming algorithms to achieve unprecedented computational speed and high throughput-to-power consumption ratios. It supports density functional theory calculations on systems with up to 2,000 atoms, allowing simulations of large molecular systems that are not feasible with legacy CPU-powered ab initio codes. For instance, a single-point calculation of a 2,056-atom protein can be completed in 14 hours on a single GPU. Promethium offers a range of capabilities, including single-point energy calculations, geometry optimization, conformer search, torsion scan, reaction path optimization, transition state optimization, interaction energy computations, and relaxed potential energy surface scans.Starting Price: $30 per hour -
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SOFTDMS
Pharma Soft Sol
Pharmaceutical and Biotech companies are challenged to meet control documentation requirements in day-to-day operations. Effective document management and document control are critical parts to any quality and compliance solution. Global Regulatory agencies expect that all regulated companies follow current industry best practices throughout the manufacturing process. To meet these requirements Phama Soft Sol developed Document Management System software which helps to control and distribute the SOP’s , STP’s and other regulated documents. Document management software systems not only reduce the costs of compliance but also help you improve process and product quality. Document Management System(softDMS) able to retrieve the information you need exactly when you need it-minimizes the possibility of miscommunication and mistakes which in turn minimize risks, manhours and other documentation errors. -
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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
