Disclaimer

1. Artificial Intelligence & Machine Learning Outputs

SevvenLabs specializes in artificial intelligence, machine learning model architectures, computer vision, natural language processing, data labeling, and software development. Users and clients acknowledge that:

• Probabilistic Nature of AI: Machine learning algorithms and deep learning models operate on statistical and probabilistic inference. Outputs generated by models, pipelines, or algorithms may contain anomalies, false positives, false negatives, or hallucinations.
• Human Verification: Outputs from AI models, automated pipelines, or data annotation systems must undergo appropriate human-in-the-loop (HITL) review and domain-specific verification before being relied upon in critical environments.
• No Guarantee of Specific Model Performance: Model benchmark accuracies, inference latencies, or evaluation metrics achieved in sandbox or test datasets may vary in production or when exposed to distribution shifts in real-world environments.

2. No Warranty & Limitation of Liability

SevvenLabs provides all website content, documentation, technical code snippets, and service demonstrations on an “as-is” and “as-available” basis. To the maximum extent permitted by applicable law, SevvenLabs disclaims all warranties, express or implied, including but not limited to implied warranties of merchantability, fitness for a particular purpose, non-infringement, and title.

Under no circumstances shall SevvenLabs, its founders, directors, employees, contractors, or partners be liable for any direct, indirect, incidental, consequential, special, punitive, or exemplary damages—including but not limited to loss of business revenue, loss of data, loss of anticipated profits, system downtime, business interruption, or computational failure—arising out of or in connection with your access to, use of, or inability to use this website, services, software, or models.

3. Professional, Technical & Client Responsibility

Our services and materials support technology engineering, computer vision, annotation workflows, and digital transformation, but do not constitute formal legal, regulatory, medical, financial, or certified engineering safety advice.

Users and commercial clients assume full responsibility for assessing whether SevvenLabs’ offerings align with their specific regulatory frameworks (such as GDPR, HIPAA, COPPA, or industry safety standards) and for securing any necessary end-user consents or intellectual property licenses for datasets provided to us.

4. Client Datasets & Intellectual Property

Clients engaging SevvenLabs for custom software or annotation retain full ownership of their proprietary raw datasets and customized deliverable annotations, subject to individual Statement of Work (SOW) terms. SevvenLabs does not claim ownership over client proprietary assets. However, clients warrant that all data, images, text, and media submitted to SevvenLabs have been lawfully acquired and do not infringe on the rights of any third party.

5. Third-Party Links, Software & External Integrations

This website and our engineering solutions may integrate or provide hyperlinks to external third-party software, cloud infrastructure providers (e.g., AWS, GCP, Azure), open-source repositories, or external websites. These links and integrations are provided solely for operational utility and reference.

SevvenLabs has no control over, does not endorse, and assumes no responsibility for the content, privacy policies, operational uptime, or security practices of any third-party websites or services. Accessing third-party resources is entirely at your own risk.

6. Updates & Modifications to This Disclaimer

SevvenLabs reserves the right to modify, amend, update, or remove any portion of this website or this Disclaimer at any time without prior individual notice. Any modifications take effect immediately upon publication on this page. Your continued use of the website or our engineering services following any modifications constitutes your acknowledgment and binding acceptance of the revised terms.