SUM
Transforming Small Teams into
Publishing Powerhouses
Struggling with content repurposing? Nota's AI-powered SUM, built on our cutting-edge Polaris LLM, transforms one article into diverse, high-quality content. SUM effortlessly generates compelling headlines, relevant keywords (including trending topics), and optimized meta descriptions, saving time and resources. Empower your team to create optimized content quickly and easily with SUM's editable suggestions for every step of article publishing. Maximize resources and expand your content reach with SUM.
Turning Articles into Opportunities
Headlines at the
Head of the Pack.
Ready to revolutionize your workflow? Experience SUM today.
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Does Nota train its models on my data?
Nota does not train its AI models on your content. Your data, inputs, and outputs remain under your control.
How does Nota protect my data?
Nota maintains robust administrative, technical, physical, and organizational security measures to protect your data. Access to internal tools is logged and reviewed. User data access is restricted and requires security approval. Nota supports major SSO providers and multi-factor authentication for secure deployment and uses secure keying practices to maintain confidentiality. For multi-team accounts, data from one team is inaccessible to others.
What data does Nota store?
Nota stores two primary types of customer data:
- Customer content: company terms, snippets, documents, and style guides.
- AI inputs and outputs: uploaded media, tuning data, source material, prompts, responses, and applications.
Nota employs a zero-data retention approach, storing data only as long as necessary for platform use. Your data is not used for model training. All data, files, and other materials you provide to Nota, along with inputs and generated outputs, are owned by you.
