ExpertEdge offers a packaging solution for publishers that allows precise control over how AI is applied to source material. Our internal process transforms published content into interactive, multimodal courses that can be deployed to any LMS.
We enrich existing materials using advanced AI within our proprietary platform, creating engaging, high-integrity learning experiences. As a publisher ourselves, we understand the importance of intellectual property. We use local models for processing text and enterprise-grade OpenAI models for multimodal assets, all within a secure environment that prevents IP leakage or unauthorised access.
We recognise the sensitivities here. All publisher data is handled professionally, and we never train models on third-party content. Everything we do is designed to add value without compromising the original work.
All content is processed through a proprietary, secure workflow that abstracts and sanitises the source material.
We deploy fine-tuned local models for processing original text content. These are built on leading open-source LLMs and trained on our own IP, enabling us to convert EPUB content into a consistent, clean, and accessible format.
Each title is processed individually. Content is never pooled, and no part of the process has full visibility of the original material. Multiple local agents are used to remove hallucinations, and all AI output is subject to human editorial approval.
We use AI strictly to support editorial transformation. The core content remains intact, with changes limited to accessibility and compliance improvements or removal of book-specific formatting.
Our process augments rather than replaces. This is key to how we avoid hallucinations and preserve fidelity.
Interactive components such as quizzes and videos are directly tied to the source. These are always presented alongside the original content within the same heading structure.
All enhancements undergo human editorial review to ensure accuracy and relevance. We have developed dedicated QA processes to support these new workflows.
Our systems are designed with security, trust, and regulatory alignment in mind.
All data is encrypted at rest and in transit using secure AWS infrastructure. We use SSO and MFA across Microsoft 365 and AWS, with strict IAM policies and SSM-based EC2 access.
Where OpenAI models are used, it is via an enterprise environment with zero data retention, limited to specific tasks like alt text generation or validation.
We run regular vulnerability scans, maintain audit logs, and comply with all relevant legislation including data protection laws and the EU AI Act.
Our approach to AI is built around transparency, explainability, and accessibility.
Our approach is informed by our dual identity as a publisher and a tech company. This enables us to meet the needs of large content holders with precision and care.
Publishers have the option to review and approve multimodal output before distribution.
We never use licensed content to train models and have safeguards in place to prevent this. Content is only used to support the product it belongs to.
At the end of a licence term, we follow strict expungement procedures to ensure data is not retained or misused.
Accessibility and regulatory compliance are embedded into our editorial workflows.
Our multimodal player meets all major global accessibility standards. It supports keyboard navigation, screen readers, and other essential assistive technologies.
The result is a consistent, high-quality experience that supports broad adoption and maximises the reach of your content.
Working with Packt means your content is treated with care, enhanced securely, and delivered in a way that strengthens your offering.
We bring deep experience in technical publishing and a proven ability to build adaptable solutions.
We approach all partnerships with transparency, professionalism, and integrity.
Do you use publisher content to train or fine-tune AI models?
No. We never use publisher content to train or fine-tune AI. Our AI-assisted processes support editorial enhancement only, using models trained on our in-house catalogue where rights allow.
How do you ensure the security of publisher data during processing?
We apply encryption, access controls, and secure infrastructure throughout. All data is processed in isolation, with no aggregation across publishers.
What measures prevent biased outputs from your AI models?
Our in-house methods ensure contextual awareness and remove hallucinations. We use advanced local models, not just low temperature settings, and all outputs are reviewed by human editors.
Do you conduct penetration testing?
We run regular vulnerability scans but do not currently conduct full penetration tests. We align with industry standards and use vendor security features.
Can publishers review and approve content before release?
Yes. We offer full review and approval workflows before distribution to ensure enhancements meet your standards.
How is data handled at the end of the licence period?
We delete all licensed data following a clear expungement process once the agreement ends.
Is AI integrated into the end-user experience?
No. AI supports the transformation process but does not appear in the user-facing product. Our multimodal player is non-interactive from an AI perspective.
How do you ensure accessibility compliance?
Our editorial process guarantees that the output meets global accessibility regulations, including WCAG. A full VPAT is available on request.
What types of content enhancements do you provide?
We add multiple-choice questions, videos, and other interactive components that are linked to the original material, without altering its meaning.
How are post-publication changes managed?
Our editorial team monitors and manages updates, working with publishers to make corrections or improvements quickly when needed.
