POLARIS by Nota
Purpose-Built AI for Modern Media Workflows
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Why Media Companies Choose POLARIS
POLARIS is Nota’s proprietary language model, designed specifically for journalists, editors, and content teams. It’s fine-tuned on real newsroom tasks to bring precision, efficiency, and trust to every step of the publishing process.
What’s New?
Proven Performance in Real Newsrooms
POLARIS was tested across 20 journalism-specific tasks, evaluated by professional editors. It outperformed general-purpose models on:
“We’ve seen up to 90% time savings in pre-publish workflows while maintaining quality and tone.”
Fits Right Into Your Workflow
Energy Efficient by Design
POLARIS delivers editorial-grade performance while using 96.5% less energy than GPT-4o. It’s optimized for speed, cost, and sustainability.
Enterprise-Grade Security & Compliance
What You’ll Unlock with POLARIS
Save time on headlines, SEO, summaries, and rewrites
Customize content per publication, beat, or journalist
Increase content output and audience engagement
Extend your team’s impact without increasing hours
See POLARIS in Action
Join thousands of media professionals using POLARIS to accelerate, refine, and scale their editorial work.
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.
