Alternatives to MDClone
Compare MDClone alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to MDClone in 2026. Compare features, ratings, user reviews, pricing, and more from MDClone competitors and alternatives in order to make an informed decision for your business.
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Windocks
LangGrant
Windocks is a leader in cloud native database DevOps, recognized by Gartner as a Cool Vendor, and as an innovator by Bloor research in Test Data Management. Novartis, DriveTime, American Family Insurance, and other enterprises rely on Windocks for on-demand database environments for development, testing, and DevOps. Windocks software is easily downloaded for evaluation on standard Linux and Windows servers, for use on-premises or cloud, and for data delivery of SQL Server, Oracle, PostgreSQL, and MySQL to Docker containers or conventional database instances. Windocks database orchestration allows for code-free end to end automated delivery. This includes masking, synthetic data, Git operations and access controls, as well as secrets management. Windocks can be installed on standard Linux or Windows servers in minutes. It can also run on any public cloud infrastructure or on-premise infrastructure. One VM can host up 50 concurrent database environments. -
2
DATPROF
DATPROF
DATPROF Test Data Platform is a complete test data management solution that helps software teams create, protect, provision, and automate high-quality test data. The platform combines data masking, synthetic test data generation, data subsetting, test data provisioning, and automation in one integrated solution. DATPROF enables organizations to safely use realistic, production-like data for development, testing, QA, and CI/CD pipelines without exposing sensitive or privacy-related information. It helps companies comply with regulations such as GDPR, PCI, and HIPAA while improving software delivery speed and reducing manual test data work. DATPROF is a software company specialized in test data management. Its mission is to help organizations make test data available faster, safer, and more efficiently, especially in complex enterprise and regulated environments. -
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H1
H1
At H1, our mission is nothing short of creating a healthier future worldwide by unlocking and democratizing global access to critical expertise, HCP information, claims data, ground-breaking research and discoveries, and connected insights for all – doctors, researchers, industry and, ultimately, patients – bringing everyone closer together to advance medicine and clinical outcomes. Insights derived from H1’s solutions help life sciences and other healthcare organizations accelerate the development, launch, and dissemination of life-saving treatments, drive meaningful engagements with key opinion leaders, and help ensure equitable access to healthcare services. -
4
CUBIG
CUBIG LTD
CUBIG is an AI-ready data infrastructure company that helps enterprises transform raw, restricted, and unstable data into reliable data assets for production AI systems. Its platform enables organizations to make data usable, privacy-safe, and reproducible across AI workflows. CUBIG offers solutions including SynTitan, DTS, and LLM Capsule to address common enterprise AI challenges such as data privacy restrictions, unusable datasets, and inconsistent AI execution. The company uses synthetic data generation, differential privacy, execution state management, and secure AI access controls to prepare enterprise data for AI adoption. CUBIG’s technology helps organizations improve AI reliability while maintaining compliance with regulatory and privacy requirements. The platform supports industries including finance, healthcare, public sector, telecommunications, insurance, retail, and defense. -
5
ArborMetrix
ArborMetrix
At ArborMetrix, advancing healthcare through data science is our mission, and delivering high impact, intuitive technology and analytics is our passion. Our leading healthcare analytics solutions are proven to deliver targeted, clinically-deep insights that improve clinical outcomes, optimize financial performance, increase stakeholder value, and measure the real-world effectiveness of treatments and procedures, as well as medical device technologies and pharmaceuticals. Patient registries are useful across much of medicine, and post-market surveillance is one of their most valuable purposes. Here are the steps we take to help you create a trusted data resource. You need an efficient and secure way to collect large amounts of real-world data and prepare it for analysis. With the right technology, you can collect data from medical records, regulatory sources, patient-reported outcomes, and more for post-market surveillance activities. -
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DataGen
DataGen
DataGen is a leading AI platform specializing in synthetic data generation and custom generative AI models for machine learning projects. Their flagship product, SynthEngyne, supports multi-format data generation including text, images, tabular, and time-series data, ensuring privacy-compliant, high-quality training datasets. The platform offers scalable, real-time processing and advanced quality controls like deduplication to maintain dataset fidelity. DataGen also provides professional AI development services such as model deployment, fine-tuning, synthetic data consulting, and intelligent automation systems. With flexible pricing plans ranging from free tiers for individuals to custom enterprise solutions, DataGen caters to a wide range of users. Their solutions serve diverse industries including healthcare, finance, automotive, and retail. -
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Panalgo
Panalgo
Panalgo’s Instant Health Data platform is a comprehensive healthcare analytics software suite built to eliminate complex programming and speed real-world data analysis for life sciences, pharmaceutical, payer, provider, government, and academic teams. It ingests diverse health data sources, including claims, electronic health records, registry data, and other real-world datasets, and converts them into a unified, analysis-ready format with a healthcare-specific data model and an extensive library of algorithms, enabling scalable, transparent, and rapid analytics without traditional coding barriers. IHD supports point-and-click analytics, custom dashboards, statistical analysis, machine learning forecasting, automated documentation, and collaborative reporting so stakeholders can explore, interpret, and share insights efficiently. Integrated components such as Ella AI provide natural-language, generative-AI assistance to build cohorts, generate insights, and make decisions. -
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TriNetX
TriNetX
TriNetX is a global health research network that connects healthcare organizations and life sciences companies to drive real-world research and accelerate the development of new therapies. By leveraging a self-service, HIPAA, GDPR, and LGPD-compliant platform, TriNetX enables users to access federated electronic health records, datasets, and consulting partnerships. This empowers the worldwide community to improve protocol design, streamline trial operations, refine safety signals, and enrich real-world evidence generation. The network encompasses over 275 million patients from 150 healthcare organizations across 25 countries, providing a vast and diverse dataset for research. Researchers have utilized the TriNetX network to analyze more than 26,000 protocols and present over 7,000 clinical trial opportunities to its healthcare members, significantly reducing site identification time in clinical trials by 50%. -
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Bifrost
Bifrost AI
Quickly and easily generate diverse and realistic synthetic data and high-fidelity 3D worlds to enhance model performance. Bifrost's platform is the fastest way to generate the high-quality synthetic images that you need to improve ML performance and overcome real-world data limitations. Prototype and test up to 30x faster by circumventing costly and time-consuming real-world data collection and annotation. Generate data to account for rare scenarios underrepresented in real data, resulting in more balanced datasets. Manual annotation and labeling is an error-prone, resource-intensive process. Easily and quickly generate data that is pre-labeled and pixel-perfect. Real-world data can inherit the biases of conditions under which the data was collected, and generate data to solve for these instances. -
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Clinithink
Clinithink
Clinithink is a leading healthcare technology company specializing in artificial intelligence solutions that transform unstructured medical data into actionable insights. Our patented CLiX platform utilizes Clinical Natural Language Processing (CNLP) to interpret complex clinical narratives, enabling healthcare organizations to enhance patient care and operational efficiency. Clinithink offers tailored solutions across life sciences, revenue cycle management, and population health, addressing challenges such as patient cohort identification, reimbursement optimization, and disease progression tracking. Clinithink's innovative technology has garnered trust from leading pharmaceutical and healthcare organizations worldwide, positioning it at the forefront of healthcare AI and digital health advancements. CLiX is capable of understanding a vast quantity of unique and detailed clinical concepts such as; certainty, severity, laterality, and temporality. -
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Rendered.ai
Rendered.ai
Overcome challenges in acquiring data for machine learning and AI systems training. Rendered.ai is a PaaS designed for data scientists, engineers, and developers. Generate synthetic datasets for ML/AI training and validation. Experiment with sensor models, scene content, and post-processing effects. Characterize and catalog real and synthetic datasets. Download or move data to your own cloud repositories for processing and training. Power innovation and increase productivity with synthetic data as a capability. Build custom pipelines to model diverse sensors and computer vision inputs. Start quickly with free, customizable Python sample code to model SAR, RGB satellite imagery, and more sensor types. Experiment and iterate with flexible licensing that enables nearly unlimited content generation. Create labeled content rapidly in a hosted, high-performance computing environment. Enable collaboration between data scientists and data engineers with a no-code configuration experience. -
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Syntheticus
Syntheticus
Syntheticus® empowers data exchange and overcomes limitations in data access, scarcity, and bias - at scale. With our synthetic data platform, you generate high-quality and compliant data samples tailored to your business needs and analytics goals. With synthetic data, you easily tap into a wide range of high-quality sources that are not always available in the real world. By accessing high-quality, consistent data, you conduct more reliable research, leading to better products, services, and business decisions. With fast, reliable data sources at your fingertips, you accelerate product development cycles and improve time-to-market. Synthetic data is designed to be private and secure by default, protecting sensitive data and maintaining compliance with privacy laws and regulations. -
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MOSTLY AI
MOSTLY AI
As physical customer interactions shift into digital, we can no longer rely on real-life conversations. Customers express their intents, share their needs through data. Understanding customers and testing our assumptions about them also happens through data. And privacy regulations such as GDPR and CCPA make a deep understanding even harder. The MOSTLY AI synthetic data platform bridges this ever-growing gap in customer understanding. A reliable, high-quality synthetic data generator can serve businesses in various use cases. Providing privacy-safe data alternatives is just the beginning of the story. In terms of versatility, MOSTLY AI's synthetic data platform goes further than any other synthetic data generator. MOSTLY AI's versatility and use case flexibility make it a must-have AI tool and a game-changing solution for software development and testing. From AI training to explainability, bias mitigation and governance to realistic test data with subsetting, referential integrity. -
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MMIT
MMIT
MMIT (Managed Markets Insight & Technology) offers a comprehensive healthcare market access and analytics platform that centralizes high-value coverage, policy, restriction, payer, and real-world data to help life sciences and healthcare organizations understand and act on how therapies are covered, reimbursed, and accessed across the U.S. healthcare system. The MMIT Platform serves as a single point of entry where users can explore integrated solutions, including formulary, medical policy, and restriction intelligence, payer landscape and enrollment data, coverage search tools, API access, and analytics, organized by workflow and strategic priority to support commercialization, competitive analysis, and patient access strategy. It provides detailed insights into drug coverage status, restriction rules, payer behavior, and market segmentation, with features that help evaluate patient access barriers, inform field engagement, predict policy shifts, and integrate coverage data. -
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Lucky Robots
Lucky Robots
Lucky Robots is a robotics-focused simulation platform that lets teams train, test, and refine AI models for robots entirely in high-fidelity virtual environments that mimic real-world physics, sensors, and interactions, enabling massive generation of synthetic training data and rapid iteration without physical robots or costly lab setups. It uses hyper-realistic scenes (e.g., kitchens, terrain) built on advanced simulation tech to create varied edge cases, generate millions of labeled episodes for scalable model learning, and accelerate development while reducing cost and safety risk. It supports natural language control in simulated scenarios, lets users bring their own robot models or choose from commercially available ones, and includes tools for collaboration, environment sharing, and training workflows via LuckyHub, helping developers push models toward real-world performance more efficiently.Starting Price: Free -
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SKY ENGINE AI
SKY ENGINE AI
SKY ENGINE AI is a fully managed 3D Generative AI platform that transforms how enterprises build Vision AI by producing high-quality synthetic data at scale. It replaces difficult, expensive real-world data collection with physics-accurate simulation, multispectrum rendering, and automated ground-truth generation. The platform integrates a synthetic data engine, domain adaptation tools, sensor simulators, and deep learning pipelines into a single environment. Teams can test hypotheses, capture rare edge cases, and iterate datasets rapidly using advanced randomization, GAN post-processing, and 3D generative blueprints. With GPU-integrated development tools, distributed rendering, and full cloud resource management, SKY ENGINE AI eliminates workflow complexity and accelerates AI development. The result is faster model training, significantly lower costs, and highly reliable Vision AI across industries. -
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BEKhealth
BEKhealth
BEKhealth offers an AI-powered clinical research platform centered on its BEKplatform, a unified system that extracts, interprets, and standardizes structured and unstructured electronic medical record data, including labs, diagnoses, physician notes, pathology reports, and PDFs, into a searchable, longitudinal patient graph to help life sciences and healthcare organizations rapidly identify protocol-eligible patients and optimize trial feasibility, site selection, and recruitment workflows. It employs deep learning and natural language processing to transform disorganized clinical data into actionable insights with high accuracy, generating robust queries and patient cohorts that reveal more qualified candidates than traditional manual chart review and support feasibility analyses with real-time reports and dashboards that inform decisions across research networks. -
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Aindo
Aindo
Accelerate time-consuming data processing steps, including structuring, labeling, and preprocessing. Manage your data in one central, easy-to-integrate platform. Increase data accessibility rapidly through privacy-protecting synthetic data and user-friendly exchange platforms. The Aindo synthetic data platform allows you to securely exchange data across departments, with external service providers, partners, and the artificial intelligence community. Explore new synergies through synthetic data exchange and collaboration. Acquire missing data openly and securely. Provide comfort and trust to your clients and stakeholders. The Aindo synthetic data platform removes data inaccuracies and implicit bias for fair and complete insights. Augment information to make databases robust to special events. Balance datasets that misrepresent true populations for a fair and accurate overall depiction. Fill in data gaps in a sound and exact manner. -
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DataCebo Synthetic Data Vault (SDV)
DataCebo
The Synthetic Data Vault (SDV) is a Python library designed to be your one-stop shop for creating tabular synthetic data. The SDV uses a variety of machine learning algorithms to learn patterns from your real data and emulate them in synthetic data. The SDV offers multiple models, ranging from classical statistical methods (GaussianCopula) to deep learning methods (CTGAN). Generate data for single tables, multiple connected tables, or sequential tables. Compare the synthetic data to the real data against a variety of measures. Diagnose problems and generate a quality report to get more insights. Control data processing to improve the quality of synthetic data, choose from different types of anonymization, and define business rules in the form of logical constraints. Use synthetic data in place of real data for added protection, or use it in addition to your real data as an enhancement. The SDV is an overall ecosystem for synthetic data models, benchmarks, and metrics.Starting Price: Free -
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PatientIQ
PatientIQ
Founded in Chicago, Illinois, PatientIQ serves provider organizations, medical device & life sciences, and payers with its platform to learn their practice with data-driven medicine. The largest platform for healthcare professionals to collaborate and improve patient outcomes. Empower healthcare providers with industry-leading technology to practice data-driven medicine. In the U.S. healthcare market, all stakeholders are under increasing pressure to prove their value. A critical component to assessing "value" is an objective measure of patient outcomes. The challenge of measuring outcomes is expensive, nuanced, and ladened with technological barriers, but outcomes are the most valuable currency in value-based healthcare of the future. A transparent solution to systematically measure, analyze, and compare outcomes across stakeholders is the next big market opportunity in digital health. -
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Anyverse
Anyverse
A flexible and accurate synthetic data generation platform. Craft the data you need for your perception system in minutes. Design scenarios for your use case with endless variations. Generate your datasets in the cloud. Anyverse offers a scalable synthetic data software platform to design, train, validate, or fine-tune your perception system. It provides unparalleled computing power in the cloud to generate all the data you need in a fraction of the time and cost compared with other real-world data workflows. Anyverse provides a modular platform that enables efficient scene definition and dataset production. Anyverse™ Studio is a standalone graphical interface application that manages all Anyverse functions, including scenario definition, variability settings, asset behaviors, dataset settings, and inspection. Data is stored in the cloud, and the Anyverse cloud engine is responsible for final scene generation, simulation, and rendering. -
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Private AI
Private AI
Safely share your production data with ML, data science, and analytics teams while safeguarding customer trust. Stop fiddling with regexes and open-source models. Private AI efficiently anonymizes 50+ entities of PII, PCI, and PHI across GDPR, CPRA, and HIPAA in 49 languages with unrivaled accuracy. Replace PII, PCI, and PHI in text with synthetic data to create model training datasets that look exactly like your production data without compromising customer privacy. Remove PII from 10+ file formats, such as PDF, DOCX, PNG, and audio to protect your customer data and comply with privacy regulations. Private AI uses the latest in transformer architectures to achieve remarkable accuracy out of the box, no third-party processing is required. Our technology has outperformed every other redaction service on the market. Feel free to ask us for a copy of our evaluation toolkit to test on your own data. -
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Microsoft Cloud for Healthcare
Microsoft
Microsoft Cloud for Healthcare is a comprehensive platform designed to transform the healthcare industry through AI-powered solutions, data integration, and secure, connected experiences. The platform helps healthcare providers, payors, and life sciences organizations improve patient care, streamline operations, and enhance research capabilities. It offers tools for safeguarding sensitive data, optimizing clinical workflows, and improving patient engagement. Microsoft Cloud for Healthcare leverages actionable insights from unified clinical and operational data, enabling healthcare organizations to drive positive outcomes, increase efficiency, and reduce costs. -
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Symage
Symage
Symage is a synthetic data platform that generates custom, photorealistic image datasets with automated pixel-perfect labeling to support training and improving AI and computer vision models; using physics-based rendering and simulation rather than generative AI, it produces high-fidelity synthetic images that mirror real-world conditions and handle diverse scenarios, lighting, camera angles, object motion, and edge cases with controlled precision, which helps eliminate data bias, reduce manual labeling, and dramatically cut data preparation time by up to 90%. Designed to give teams the right data for model training rather than relying on limited real datasets, Symage lets users tailor environments and variables to match specific use cases, ensuring datasets are balanced, scalable, and accurately labeled at every pixel. It is built on decades of expertise in robotics, AI, machine learning, and simulation, offering a way to overcome data scarcity and boost model accuracy. -
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GenRocket
GenRocket
Enterprise synthetic test data solutions. In order to generate test data that accurately reflects the structure of your application or database, it must be easy to model and maintain each test data project as changes to the data model occur throughout the lifecycle of the application. Maintain referential integrity of parent/child/sibling relationships across the data domains within an application database or across multiple databases used by multiple applications. Ensure the consistency and integrity of synthetic data attributes across applications, data sources and targets. For example, a customer name must always match the same customer ID across multiple transactions simulated by real-time synthetic data generation. Customers want to quickly and accurately create their data model as a test data project. GenRocket offers 10 methods for data model setup. XTS, DDL, Scratchpad, Presets, XSD, CSV, YAML, JSON, Spark Schema, Salesforce. -
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AI Verse
AI Verse
When real-life data capture is challenging, we generate diverse, fully labeled image datasets. Our procedural technology ensures the highest quality, unbiased, labeled synthetic datasets that will improve your computer vision model’s accuracy. AI Verse empowers users with full control over scene parameters, ensuring you can fine-tune the environments for unlimited image generation, giving you an edge in the competitive landscape of computer vision development. -
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Mimic
Facteus
Advanced technology and services to safely transform and enhance sensitive data into actionable insights, help drive innovation, and open new revenue streams. Using the Mimic synthetic data engine, companies can safely synthesize their data assets, protecting consumer privacy information from being exposed, while still maintaining the statistical relevancy of the data. The synthetic data can then be used for internal initiatives like analytics, machine learning and AI, marketing and segmentation activities, and new revenue streams through external data monetization. Mimic enables you to safely move statistically-relevant synthetic data to the cloud ecosystem of your choice to get the most out of your data. Analytics, insights, product development, testing, and third-party data sharing can all be done in the cloud with the enhanced synthetic data, which has been certified to be compliant with regulatory and privacy laws. -
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YData
YData
Adopting data-centric AI has never been easier with automated data quality profiling and synthetic data generation. We help data scientists to unlock data's full potential. YData Fabric empowers users to easily understand and manage data assets, synthetic data for fast data access, and pipelines for iterative and scalable flows. Better data, and more reliable models delivered at scale. Automate data profiling for simple and fast exploratory data analysis. Upload and connect to your datasets through an easily configurable interface. Generate synthetic data that mimics the statistical properties and behavior of the real data. Protect your sensitive data, augment your datasets, and improve the efficiency of your models by replacing real data or enriching it with synthetic data. Refine and improve processes with pipelines, consume the data, clean it, transform your data, and work its quality to boost machine learning models' performance. -
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syntheticAIdata
syntheticAIdata
syntheticAIdata is your partner in creating synthetic data that enables you to craft diverse datasets effortlessly and at scale. Utilizing our solution doesn’t just mean significant cost reductions; it means ensuring privacy, regulatory compliance, and expediting your AI products' journey to the market. Let syntheticAIdata be the catalyst that transforms your AI aspirations into achievements. Synthetic data is generated on a large scale and can cover many scenarios when real data is insufficient. A variety of annotations can be automatically generated. This greatly shortens the time for data collection and tagging. Minimize costs for data collection and tagging by generating synthetic data on a large scale. Our user-friendly and no-code solution empowers even those without technical expertise to easily generate synthetic data. With seamless one-click integration with leading cloud platforms, our solution is the most convenient to use on the market. -
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HealthAPIx
Google
Make it easy for healthcare organizations, including hospitals and clinics, health plans and life sciences, to connect with app developers and health data partners to build new FHIR API-based digital services. Improve the efficiency and safety of transitions across the continuum of in-patient and out-patient care. Provide targeted personal wellness and prevention guidance to at-risk participants. Empower collaboration between patients, physicians, and healthcare providers to effectively manage chronic conditions. Improve chronic condition management. Deliver patient-centric digital services. Reduce risks during care transitions. Manage, secure, and scale APIs with an enterprise-grade platform that is FHIR-server agnostic. Easily ingest healthcare data from internal, external, or open-source FHIR-ready partners. Deliver on the promise of patient-centric healthcare and data interoperability by quickly launching digital services like new mobile apps. -
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Statice
Statice
We offer data anonymization software that generates entirely anonymous synthetic datasets for our customers. The synthetic data generated by Statice contains statistical properties similar to real data but irreversibly breaks any relationships with actual individuals, making it a valuable and safe to use asset. It can be used for behavior, predictive, or transactional analysis, allowing companies to leverage data safely while complying with data regulations. Statice’s solution is built for enterprise environments with flexibility and security in mind. It integrates features to guarantee the utility and privacy of the data while maintaining usability and scalability. It supports common data types: Generate synthetic data from structured data such as transactions, customer data, churn data, digital user data, geodata, market data, etc We help your technical and compliance teams validate the robustness of our anonymization method and the privacy of your synthetic dataStarting Price: 3,990€/month -
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Gretel
Gretel.ai
Privacy engineering tools delivered to you as APIs. Synthesize and transform data in minutes. Build trust with your users and community. Gretel’s APIs grant immediate access to creating anonymized or synthetic datasets so you can work safely with data while preserving privacy. Keeping the pace with development velocity requires faster access to data. Gretel is accelerating access to data with data privacy tools that bypass blockers and fuel Machine Learning and AI applications. Keep your data contained by running Gretel containers in your own environment or scale out workloads to the cloud in seconds with Gretel Cloud runners. Using our cloud GPUs makes it radically more effortless for developers to train and generate synthetic data. Scale workloads automatically with no infrastructure to set up and manage. Invite team members to collaborate on cloud projects and share data across teams. -
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OneView
OneView
Working exclusively with real data creates significant challenges for machine learning model training. Synthetic data enables limitless machine learning model training, addressing the drawbacks and challenges of real data. Boost the performance of your geospatial analytics by creating the imagery you need. Customizable satellite, drone, and aerial imagery. Create scenarios, change object ratios, and adjust imaging parameters quickly and iteratively. Any rare objects or occurrences can be created. The resulting datasets are fully-annotated, error-free, and ready for training. The OneView simulation engine creates 3D worlds as the base for synthetic satellite and aerial images, layered with multiple randomization factors, filters, and variation parameters. The synthetic images replace real data for remote sensing systems in machine learning model training. They achieve superior interpretation results, especially in cases with limited coverage or poor-quality data. -
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Oracle Health
Oracle
Connected technologies and unified data empower individuals and enable the health ecosystem to accelerate innovation and influence health outcomes. Oracle Health is building an open healthcare platform with intelligent tools for data-driven, human-centric healthcare experiences to connect consumers, healthcare providers, payers, and public health and life sciences organizations. With the largest global EHR market share, we are able to bring data together to enable clinicians, patients, and researchers to take meaningful action, advance health, and work to improve outcomes worldwide. Rated the largest revenue cycle management (RCM) leader by IDC MarketScape, we provide timely, predictive, and actionable health insights to automate processes, optimize resources, and drive efficiencies. Accelerate innovation, benefit from flexible infrastructure and platform resources, and drive clinical intelligence through our open, extensible ecosystem of partners and technologies. -
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Atropos Health
Atropos Health
Atropos Health provides on-demand evidence from real-world data to close evidence gaps in healthcare and life sciences. Proven to elevate clinical outcomes, accelerate research, and drive operational efficiency. Atropos Health rapidly transforms medical data into real-world evidence, closing evidence gaps in medicine and expediting research from months to minutes. Our core solution is a generative evidence acceleration operating system. We can securely install medical data and structure it for downstream use. Our powerful analytics tools can be used to generate evidence on demand. It can work on your data after a quick install, or immediately with our global evidence network of 160M+ patients’ records and evidence library of 10K past studies. Join top health systems and life science companies in partnering with Atropos Health to accelerate research, optimize clinical trials, inform clinical decisions, address care variation, and more. -
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Datomize
Datomize
Our AI-powered data generation platform enables data analysts and machine learning engineers to maximize the value of their analytical data sets. By leveraging the behavior extracted from existing data, Datomize enables users to generate the exact analytical data sets needed. Equipped with data that comprehensively represent real-world scenarios, users can now gain a far more accurate reflection of reality and make much better decisions. Extract superior insights from your data and develop state-of-the-art AI solutions. Datomize’s AI-powered, generative models create superior synthetic replicas by extracting the behavior from your existing data. Advanced augmentation capabilities enable limitless resizing of your data, while dynamic validation tools visualize the similarity between original and replicated data sets. Datomize’s data-centric approach to machine learning addresses the primary data constraints of training high-performing ML models.Starting Price: $720 per month -
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Genoox
Genoox
Through our diverse and growing community, Genoox accumulates the most relevant database and delivers actionable, real-world genomic insights that impact lives, improve clinical outcomes, and shape the business of healthcare. Our solutions are changing the face of genomics. Genoox uses the power of its community and combines public data with community data to streamline the path from DNA sample to clinical report, impacting patient care by making genomic data accessible and actionable at the point of care. Genoox enhances research and life sciences companies by providing an insight platform derived from real-world data and evidence and powered by our community with robust genomic analytics, helping researchers simplify complex genomic data and make impactful discoveries using the most advanced genetic tools and applications. Genoox helps biosystems companies such as DNA sequencing companies to bundle its state-of-the-art genomic engine with dedicated assays. -
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Rockfish Data
Rockfish Data
Rockfish Data is the industry's first outcome-centric synthetic data generation platform, unlocking the true value of operational data. Rockfish helps enterprises take advantage of siloed data to train ML/AI workflows, produce compelling datasets for product demos, and more. The platform intelligently adapts to and optimizes diverse datasets, seamlessly adjusting to various data types, sources, and structures for maximum efficiency. It focuses on delivering specific, measurable results that drive tangible business value, with a purpose-built architecture emphasizing robust security measures to ensure data integrity and privacy. By operationalizing synthetic data, Rockfish enables organizations to overcome data silos, enhance machine learning and artificial intelligence workflows, and generate high-quality datasets for various applications. -
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Clinisys
Clinisys
Clinisys is a laboratory informatics and diagnostic technology company that provides laboratory information management systems (LIMS) and laboratory information systems (LIS) for healthcare, life sciences, public health, and research organizations. The company supports more than 7,000 laboratory customers worldwide and helps process billions of laboratory tests each year through its integrated laboratory platforms. Clinisys enables laboratories to improve diagnostic workflows, disease surveillance, testing operations, and scientific research through connected data and modern laboratory technologies. Its solutions are designed to help laboratories improve efficiency, productivity, scalability, and data accessibility across multiple industries and specialist disciplines. Clinisys serves healthcare, biotech, pharma, environmental, food and beverage, crop science, water, and public health sectors with industry-specific laboratory solutions. -
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Tonic
Tonic
Tonic automatically creates mock data that preserves key characteristics of secure datasets so that developers, data scientists, and salespeople can work conveniently without breaching privacy. Tonic mimics your production data to create de-identified, realistic, and safe data for your test environments. With Tonic, your data is modeled from your production data to help you tell an identical story in your testing environments. Safe, useful data created to mimic your real-world data, at scale. Generate data that looks, acts, and feels just like your production data and safely share it across teams, businesses, and international borders. PII/PHI identification, obfuscation, and transformation. Proactively protect your sensitive data with automatic scanning, alerts, de-identification, and mathematical guarantees of data privacy. Advanced sub setting across diverse database types. Collaboration, compliance, and data workflows — perfectly automated. -
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Neurolabs
Neurolabs
Industry-leading technology powered by synthetic data for flawless retail execution. The new wave of vision technology for consumer packaged goods. Select from an extensive catalog of over 100,000 SKUs in the Neurolabs platform including top brands such as P&G, Nestlé, Unilever, Coca-Cola, and much more. Your field agents can upload multiple shelf images from mobile devices to our API which will automatically stitch the images together to generate the scene. SKU-level detection provides you with detailed information to compute retail execution KPIs such as out-of-shelf rate, shelf share percentage, competitor price comparison, and so much more! Discover how our cutting-edge image recognition technology can help you maximize store operations, enhance customer experience, and boost profitability. Implement a real-world deployment in less than 1 week. Access image recognition datasets for over 100,000 SKUs. -
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Urbiverse
Urbiverse
Urbiverse helps you make smarter strategic decisions about urban mobility and logistics with AI‑driven simulations, synthetic data solutions, real‑time what‑if analysis, and optimized fleet sizing and infrastructure planning. It enables operators to forecast demand based on historical data, events, seasonal trends and real‑time analytics; simulate scenarios to determine the impact of new ride‑sharing, bike‑sharing, cargo‑bike or fleet‑size programs on traffic, user satisfaction, environmental goals, profitability and costs; evaluate financial implications under various tender conditions; optimize fleet distribution, operations management and micromobility parking; and combine real‑time and historical data to allocate resources efficiently across different vehicle types, empowering mobility operators and planners to move from guesswork to data‑driven decisions. Urbiverse processes millions of trips, supports infrastructure planning, and empowers urban fleet planners to test scenarios. -
43
AutonomIQ
AutonomIQ
Our AI-driven, autonomous low-code automation platform is designed to help you achieve the highest quality outcome in the shortest amount of time possible. Generate automation scripts automatically in plain English with our Natural Language Processing (NLP) powered solution, and allow your coders to focus on innovation. Maintain quality throughout your application lifecycle with our autonomous discovery and up-to-date tracking of changes. Reduce risk in your dynamic development environment with our autonomous healing capability and deliver flawless updates by keeping automation current. Ensure compliance with all regulatory requirements and eliminate security risk using AI-generated synthetic data for all your automation needs. Run multiple tests in parallel, determine test frequency, keep pace with browser updates and executions across operating systems and platforms. -
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Wayfinder
Kythera
Wayfinder is the all-in-one, SaaS big data platform for healthcare and life sciences, unifying data, analytics, and AI workloads into an ecosystem that accelerates the time to insights for the healthcare and life sciences industries. Wayfinder makes it possible to find granular insights from healthcare data faster. Built on the Databricks Lakehouse platform, Wayfinder delivers access to over 45 terabytes of de-identified, remastered claims data and meets the unique data and processing needs of the healthcare and life sciences industries at scale. With Wayfinder, you can analyze higher-quality claims data to identify rare patients, and target providers, build comprehensive patient journeys, and identify market trends, all with granular detail to inform strategies that drive differentiation and growth. Wayfinder is your big data infrastructure, so you can stop preparing and managing your data and start analyzing. -
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Veradigm Real-World Evidence
Veradigm
Veradigm Real-World Evidence (RWE) analytics platform is a cost-effective, software-as-a-service application that enables transparent and efficient analysis of real-world data. It is used by life science and clinical research organizations to explore and analyze EHR data at a granular level. The analytical platform follows OMOP standards, making it a more efficient and reliable way to generate real-world evidence. Use Veradigm RWE Analytics Platform along with data sourced from the Veradigm Network. The platform allows users to run analysis on patient populations in minutes, create reusable patient cohorts with terminology consistency across data sources, deliver repeatable retrospective studies, and conduct analysis on any dataset in the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM), including Veradigm Network EHR 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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Sixpack
PumpITup
Sixpack is a data management platform designed to streamline synthetic data for testing purposes. Unlike traditional test data generation, Sixpack provides an endless supply of synthetic data, helping testers and automated tests avoid conflicts and resource bottlenecks. It focuses on flexibility by enabling allocation, pooling, and instant data generation while keeping data quality high and privacy intact. Key features include easy setup, seamless API integration, and the ability to support complex test environments. Sixpack integrates directly with QA processes, so teams save time on managing data dependencies, minimize data overlap, and prevent test interference. Its dashboard offers a clear view of active data sets, and testers can allocate or pool data according to project needs.Starting Price: $0 -
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Flatiron Horizon
Flatiron
Flatiron Health's Evidence Solutions offer a flexible approach to generating both prospective and retrospective real-world evidence, empowering life sciences companies to achieve their oncology research goals more efficiently. Central to these solutions is Flatiron Horizon, which integrates a vast repository of over 5 million de-identified patient records and 1.5 billion data points, advanced curation methods, and disease-specific machine-learning models. This platform supports various stages of the biopharma lifecycle, including discovery, clinical study design, regulatory submissions, and post-marketing commitments. Flatiron's services encompass real-world data configurations tailored to specific oncology needs, prospective evidence generation through low-interventional studies, protocol optimization, patient identification, and seamless EHR-to-EDC data transfer via Flatiron Clinical Pipe. -
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Subsalt
Subsalt Inc.
Subsalt is the first platform built to enable the use of anonymous data at enterprise scale. Subsalt's Query Engine dynamically optimizes the tradeoffs between data privacy and fidelity to the source data. Queries return fully-synthetic data that preserves row-level granularity and data formats without disruptive data transformations. Subsalt provides compliance guarantees supported by third-party audits that satisfy HIPAA's Expert Determination standard. Subsalt supports multiple deployment models to meet the unique privacy and security requirements of each client. Subsalt is SOC2-Type 2 and HIPAA compliant. The system has been designed to minimize the risk of exposure or breach of real data. Existing data and ML tools integrate directly with Subsalt's Postgres-compatible SQL interface, making adoption a breeze. -
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CloudTDMS
Cloud Innovation Partners
CloudTDMS solution is a No-Code platform having all necessary functionalities required for Realistic Data Generation. CloudTDMS, your one stop for Test Data Management. Discover & Profile your Data, Define & Generate Test Data for all your team members : Architects, Developers, Testers, DevOPs, BAs, Data engineers, and more ... CloudTDMS automates the process of creating test data for non-production purposes such as development, testing, training, upgrading or profiling. While at the same time ensuring compliance to regulatory and organisational policies & standards. CloudTDMS involves manufacturing and provisioning data for multiple testing environments by Synthetic Test Data Generation as well as Data Discovery & Profiling. Benefit from CloudTDMS No-Code platform to define your data models and generate your synthetic data quickly in order to get faster return on your “Test Data Management” investments. CloudTDMS solves the following challenges : -Regulatory ComplianceStarting Price: Starter Plan : Always free
