Built for your brand

Generic AI produces generic content. Newtone solves this by training multiple bespoke AI models on your brand voice, product data, editorial standards, and strategic goals. Over 99% brand voice accuracy. No prompting. No rework.

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Built for your brand

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What we train on

During onboarding, we collect the data that defines how your brand communicates:

Brand guidelines, tone of voice documentation, and editorial style guides

Your best-performing existing content across each content type and channel

Product data, technical specifications, and approved product claims

Glossaries, terminology lists, and any existing translation memories

Keyword strategies and search performance data

Examples of content you consider excellent and content that falls below your standard

A tailor expertly measures a navy blue suit on a mannequin, using a measuring tape, while a sewing pin cushion rests on the wooden table nearby, depicted alongside a digital overlay with text and branding guidelines.

A neatly pressed white shirt hangs on a rack beside a straw hat on a shelf, accompanied by a folded beige garment and a pair of brown shoes, with a digital interface displaying chat messages overlaying the image.

Multiple models, not one

We do not train a single model per client. We build a suite
of bespoke models, each optimized for a specific language pair and content type, then layer your brand training on top. The model generating your French product descriptions is different from the one writing your English blog posts. Each is chosen for its strengths, but all share the same brand voice training.

We do not train a single model per client. We build a suite of bespoke models, each optimised for a specific language pair and content type, then layer your brand training on top. The model generating your French product descriptions is different from the one writing your English blog posts. Each is chosen for its strengths, but all share the same brand voice training.

How training works

Training is handled entirely by the Newtone team. You do not need to write prompts or manage model configuration.

Data collection: we work with your team to gather brand materials, content samples, and product data

Model training: we configure and train your models across the content types and languages you need

Review and refinement: we generate sample content and review it with your team, refining iteratively until output meets your quality bar

Deployment: your models go live through the Newtone platform, your PIM, Shopify, or API. The full process takes two to five weeks

Models that improve over time

Training is not a one-off event. Your models learn from your team’s feedback over time. As your brand evolves, seasonal priorities shift, or new products launch, your models are updated. Your customer success manager oversees quality and coordinates refinements with the Newtone training team.