JADBio
JADBio is an AutoML platform for no-code machine learning model building on any data. Ideal for businesses and researchers in data analysis. Free tier highlighted for 2026.
JADBio is a no-code AutoML platform that automates machine learning model building for predictive analytics on any dataset, delivering credible results by searching thousands of analysis pipelines for preprocessing, feature selection, imputation, and modeling while shielding against statistical errors.[1][2] Its core value lies in accelerating productivity, democratizing AI for non-experts, and providing reliable out-of-sample performance estimates without splitting data, often surpassing manual expert analysis through meta-level learning.[1][5]
Key features include multiple feature selection for minimal biosignatures, interpretable models like linear regression, biomarker importance rankings, predictions on unlabeled data, and support for multi-omics inputs such as genomics, transcriptomics, proteomics, and clinical phenotypes across binary classification, regression, multi-class, and time-to-event analyses.[1][2][6] Designed for life science researchers, translational biologists, and businesses in biomedicine, it excels in biomarker discovery, disease subtyping, drug repurposing, precision medicine, and chronic disease studies like cancer and infectious diseases.[4][6][8]
What sets JADBio apart is its built-in focus on feature selection for knowledge discovery—identifying handful-sized molecular signatures with competitive performance—outperforming tools like auto-sklearn and TPOT on omics benchmarks, plus a free tier for accessible entry.[2][4][5]
Sources
- [1] https://jadbio.com/what-is-automl/
- [2] https://pmc.ncbi.nlm.nih.gov/articles/PMC9203777/
- [4] https://jadbio.com/case-studies/just-add-data-automated-predictive-modeling-for-knowledge-discovery-feature-selection/
- [5] https://jadbio.com/jadbio-provides-automl-for-biomed-data-featured-insidebigdata/
- [6] https://jadbio.com
- [8] https://deepgram.com/ai-apps/jadbio
The documents state JADBio will use data to 'improve and enhance the Services' and collect information 'relating to the
No training opt-out mechanism was identified in the legal documents.
Moderate risk. Suitable for internal data but avoid confidential information.
The documents state JADBio will use data to 'improve and enhance the Services' and collect information 'relating to the provision, use and performance' of services, but explicitly disclaim training on user content itself. However, vague language around 'service improvement' and 'data derived from Customer Data' creates ambiguity about whether aggregated or de-identified derivatives of user data feed model training.
“[ToS] 'The Company will be free to (i) use such information and data to improve and enhance the Services and for other development, diagnostic and corrective purposes' and 'disclose such data solely in aggregate or other de-identified form.'”
Customer grants a 'limited, non-exclusive and non-transferable license' to JADBio to 'copy, store, configure, perform, display and transmit Customer Data solely as necessary to provide the Services.' This is narrowly scoped to service delivery, but JADBio also claims a 'royalty-free, worldwide, irrevocable, perpetual license' to use customer feedback, which is broad.
“[ToS] 'Customer grants to The Company a limited, non-exclusive and non-transferable license, to copy, store, configure, perform, display and transmit Customer Data solely as necessary to provide the Services' and 'The Company shall have a royalty-free, worldwide, irrevocable, perpetual license to use and incorporate into the Services any suggestions, enhancement requests, recommendation or other feedback.'”
JADBio shares data with 'Verified Technical Resources' (sub-processors) and AWS infrastructure, with DPA requirements stated. However, the documents permit sharing with 'Affiliates' and 'partners' for service delivery, and analytics/non-personal data is shared with Google Analytics and DoubleClick for advertising purposes. Sub-processor list is minimal (only AWS listed).
“[ToS] 'The Customer grants a general authorization to The Company to appoint any Affiliate as sub-processors' and '[Privacy] non-personally identifiable information may be provided to other parties for improving our services and marketing purposes.'”
JADBio states data is retained 'as long as the account is active' and will be deleted upon account termination, but the language is vague ('as needed to provide services'). Termination provides only 10 days for data retrieval before JADBio 'may, but is not obligated to, delete' data. Backup and archival retention periods are not clearly specified.
“[ToS] 'Upon any termination, The Company will make all Customer Data available to Customer for electronic retrieval for a period of ten (10) days, but thereafter The Company may, but is not obligated to, delete stored Customer Data.' [Privacy] 'Upon a delete-account request, any information being stored stops being accessible...once the data retention period ends, all your information is permanently erased.'”
JADBio explicitly states that 'Customer shall own all right, title and interest in and to the Customer Data, as well as any data that is based on or derived from the Customer Data and provided to Customer as part of the Services.' JADBio retains ownership only of the Software and Services themselves, not outputs.
“[ToS] 'Customer shall own all right, title and interest in and to the Customer Data, as well as any data that is based on or derived from the Customer Data and provided to Customer as part of the Services. The Company shall own and retain all right, title and interest in and to (a) the Services and Software...'”
JADBio references GDPR compliance, has a Data Privacy Officer, and describes AWS security measures (encryption, DDoS protection, firewalls). However, no SOC 2 Type II, ISO 27001, or HIPAA certifications are mentioned. Security practices are described but formal third-party certifications are absent.
“[Privacy] 'Data is encrypted at rest to protect against security breaches...AWS Shield Distributed Denial of Service (DDoS) protection service to minimize application downtime and latency.' [ToS] 'The Company shall appoint a Data Privacy Officer within its organization authorized to respond from time to time to enquiries regarding Personal Data.'”
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