Fine Artificial Intelligence-powered content for modern marketing

Marketing teams face pressure to produce more formats, faster and cheaper. ProfileTree proposes augmenting human creativity with Artificial Intelligence to scale copy, imagery and video while preserving brand authenticity.

Marketing teams across Ireland confront rising demands to deliver more content, across more channels, with the same or smaller budgets. ProfileTree positions Artificial Intelligence content generation as an augmentation to human creativity rather than a replacement. The company offers custom-trained models and refined workflows from its Belfast team, claiming the ability to produce copy, imagery, and video assets in hours rather than weeks while maintaining brand voice and local relevance for Belfast, Dublin and wider Irish and UK markets.

Technically, ProfileTree’s approach combines large language models for text, diffusion models for imagery, neural video editing and voice synthesis for narration, all coordinated in multi-stage, human-in-the-loop workflows. Custom model training uses a client’s existing assets to preserve tone and visual style, while automated fact-checking, style guides and human review form quality-control layers. The firm highlights localisation capabilities to capture regional references and cultural nuance, and describes script-to-screen pipelines that generate scripts, storyboards and finished video with personalisation at scale. The article cites performance claims including producing ten times more assets at around 30% of traditional costs, personalised video engagement lifts of 40 to 60 percent, and reported e-commerce gains of 40 percent more organic traffic and 25 percent better conversion rates.

ProfileTree also addresses implementation and governance: start small with low-risk content, invest in team training for prompt engineering and tooling, and use cloud-based platforms for modest infrastructure overhead. The firm outlines measurable ROI examples—blog posts that shift from hundreds of pounds to tens of pounds and product descriptions that fall from roughly £10 to £1 through Artificial Intelligence-assisted workflows—and emphasises ethical safeguards such as transparency about generated content, copyright checks, data privacy controls and cultural sensitivity programming. The piece positions Artificial Intelligence content generation as a tool to increase speed, lower cost and expand scale while keeping humans responsible for strategy, accuracy and final approval.

70

Impact Score

A generative Artificial Intelligence approach to predicting chemical reactions

MIT researchers developed FlowER, a generative Artificial Intelligence system that uses electron-flow matrices to enforce conservation of mass and electrons when predicting chemical reaction mechanisms. The open-source model improves validity and mechanistic fidelity compared with prior approaches, while noting limits on metals and catalytic cycles.

Contact Us

Got questions? Use the form to contact us.

Contact Form

Clicking next sends a verification code to your email. After verifying, you can enter your message.