Any individual or organization that submits information through the Datathere website, public tools, demo features, documentation examples, or any non hosted interface remains solely responsible for the content and consequences of that submission. Datathere does not review, validate, monitor, or verify submitted data.
Submitters are responsible for ensuring that:
• Submitted information complies with all applicable laws, regulations, confidentiality obligations, and contractual requirements
• All required permissions and authorizations have been obtained before submitting any data
• Information does not contain confidential, proprietary, regulated, or sensitive material unless the submitter accepts full risk associated with its submission
Datathere disclaims all liability arising from data provided through public channels.
Information submitted through the website, public tools, or non hosted environments may be processed by external artificial intelligence providers. These may include OpenAI, Anthropic, or other vendors that supply inference, model execution, or infrastructure services.
Submission of information through any public or non hosted Datathere feature constitutes authorization for Datathere to transmit that information to these external providers.
Datathere does not control and does not guarantee:
• How external providers store, retain, secure, or delete submitted information
• Whether submitted information is used for model improvement or analytical purposes
• Geographic regions in which submitted data is processed
• Compliance by third party providers with laws that may apply to the submitter
Submitters assume all risks associated with sending information to these providers.
Any outputs generated through Datathere public tools, models, examples, previews, or non hosted features are provided solely for exploratory use. Datathere does not warrant or verify the accuracy, completeness, correctness, or suitability of:
• Mapping suggestions
• Field relationships
• Transformations
• Conditional logic
• Validation messages
• Data quality indicators
• Proposed fixes
• Any other AI generated or system generated output
All outputs must be reviewed, validated, and confirmed by the submitter.
Datathere is not responsible for:
• Incorrect mappings
• Incorrect transformation logic
• Misinterpretation of data relationships
• Loss, corruption, or alteration of submitted information
• Errors produced by AI systems
• Consequences of relying on any system output
All responsibility for verification and correctness rests with the submitter.
Datathere does not accept responsibility for:
• Storing or retaining information submitted through public channels
• Deleting information upon request unless required by applicable law
• Ensuring confidentiality or privacy of information submitted through publicly accessible tools
• Preventing third party access or distribution
• Ensuring regulatory or compliance suitability for any submitted information
• Meeting obligations under laws including HIPAA, FERPA, PCI, GLBA, GDPR, or similar frameworks
Submitters must manage their own deletion, retention, and compliance requirements.
Information may be shared with service providers that support hosting, compute, AI inference, data transport, analytics, logging, and other operational functions required to deliver public facing features. These providers operate under their own terms and policies.
Submission of information authorizes Datathere to transmit that information to such providers.
Datathere provides its public website, marketing materials, documentation, previews, and public tools on an as is and as available basis.
Datathere makes no warranties, express or implied, including but not limited to:
• Warranties of accuracy
• Warranties of correctness of mappings or transformations
• Warranties of data integrity
• Warranties of non infringement
• Warranties of merchantability or fitness for a particular purpose
• Warranties related to security, privacy, or confidentiality
• Warranties that outputs will meet operational, legal, or compliance requirements
• Warranties that errors will be corrected
Datathere does not accept responsibility for:
• Errors in data processing or mapping
• Incorrect outputs generated by AI components
• Misconfigured settings by visitors or prospective users
• Loss, corruption, or exposure of information submitted through the website
• Reliance on any statement, example, suggestion, or output
• Interruptions, delays, or malfunctions of any public facing feature
To the fullest extent permitted by law, Datathere disclaims liability for direct, indirect, incidental, consequential, exemplary, punitive, or special damages arising out of or related to the use of the website or public tools.
Individuals or organizations accessing public Datathere features must:
• Avoid submitting protected or sensitive information
• Evaluate whether Datathere public tools are suitable for their intended use
• Validate all outputs independently
• Retain independent backups of submitted information
• Review relevant third party terms
• Avoid relying on public outputs for production, business critical, or compliance controlled use cases
Datathere may modify this policy at any time. Posting an updated version on the website constitutes notice of the revised terms.
