Reply launches Model Factory, the production line for creating industrial-grade generative AI models

Image credit: Image provided by Reply

Editorial Brief
At a glance: AI-assisted overview, optimised for journalists, search & news aggregators

Reply has launched the Model Factory, a system for creating customised generative AI models tailored to an organisation's specific operational context and internal knowledge. This initiative allows companies to train AI models using their proprietary data, ensuring the models align with their unique workflows and governance frameworks. The Model Factory aims to provide organisations with a competitive edge by enabling them to develop AI models that evolve with their internal processes and expertise.

Press Release

London, UK - 14th May 2026

Reply [EXM, STAR: REY] announces Reply Model Factory, an industrial production line for building frontier generative AI models grounded in corporate knowledge and designed to power AI systems and agents aligned with each organisation’s operational context.

AI models are often built to operate across a wide range of tasks, drawing largely on public data. Enterprises, however, rely on internal knowledge: technical standards, regulatory requirements, operating procedures, proprietary systems and domain expertise. Reply Model Factory addresses this gap by enabling organisations to train models that understand their own context and operate consistently within enterprise workflows, systems and governance frameworks.

Within the Factory, organisations can bring their internal documentation, software repositories, business data, domain knowledge and process records into secure vaults, where this knowledge is prepared and used to train models on the terminology, reasoning patterns and operational constraints that define their environment.

Reply Model Factory then industrialises data preparation, training, evaluation, deployment and continuous improvement through a controlled lifecycle and consistent ontologies, with modularity as a first-class citizen enabling integration with the best technological stacks. Within the training layer, pre-training builds domain awareness from customer datasets and a broad base of internal assets; supervised fine-tuning develops competence on specific tasks; reinforcement learning strengthens expertise and agentic behaviour in line with policies, evaluation criteria and operational objectives; and distillation and speculative decoding make specialised models more efficient for deployment. Each model, as well as each derived customer dataset, is released as a versioned enterprise asset, with controlled interfaces, embedded quality gates and built-in alignment with the EU AI Act.

With this approach, Reply Model Factory enables organisations to move beyond generic intelligence and develop frontier models that evolve with their own knowledge, processes and expertise while remaining under their control.

“Proprietary models will become one of the key levers of strategic differentiation for enterprises,” said Tatiana Rizzante, CEO of Reply. “As generative AI becomes embedded in the way companies innovate, design, decide and operate, competitive advantage will come from models that are built on an organisation’s own knowledge, data, expertise and intellectual property. With Reply Model Factory, we enable enterprises to transform these distinctive assets into governed AI models that remain under their control and can be continuously improved, scaled and specialised over time.”

Notes to editors

Reply Reply [EXM, STAR: REY, ISIN: IT0005282865] specialises in the design and implementation of solutions based on new communication channels and digital media. As a network of highly specialised companies, Reply supports major industrial groups in the telecom and media; industry and services; banking and insurance and public sectors in defining and developing business models enabled by the new paradigms of AI, cloud computing, digital media and the internet of things. Reply’s services include: consulting, system integration and digital services. www.reply.com

Get more news like this

Get more news like this on Google. Set News By Wire as a ‘Preferred News Source’ to get quicker access to news that’s important.

All done!
Thank you for subscribing.

Email Subscription