Lectra has launched Apogy, a cloud-based platform that applies agentic artificial intelligence to the stage of the apparel value chain between garment design and production. The software-as-a-service product is the result of three years of development and consultation with several dozen customers, and it enters a market where suppliers face volatile demand, shorter collection cycles and tightening regulatory and environmental requirements.

For Lectra, the commercial stakes are clear. The Euronext-listed group, which supplies software, cutting equipment, data and services to the fashion, automotive and furniture industries, reported revenues of €507 million in 2025, including €89 million from SaaS activities. Apogy extends that subscription base into product development workflows — a tier of the supply chain where tech-packs, patterns, prototypes and approvals typically sit scattered across disconnected systems.

Apogy consolidates product data, processes and stakeholders in one environment. Intelligent agents automate routine tasks, improve access to information and support decision-making from initial concept through to an industrialisation-ready prototype. Users can generate and explore concepts from prompts, sketches or images, and teams can collaborate in real time with traceability of changes. Compatibility with standard market formats is intended to simplify digital prototyping, while 3D simulations and photorealistic renderings support product reviews and approvals.

The platform also centralises key development data in a single, secure, continuously updated source. Lectra says this allows internal teams, partners and suppliers to work simultaneously — reducing errors tied to data transfers and shortening approval and production lead times. For sourcing operations that depend on exchanging specifications with factories in multiple countries, that consolidation addresses a known friction point in the buyer-supplier handoff.

"For fifty years, Lectra has helped transform the fashion industry, particularly by digitising patternmaking. Today, agentic artificial intelligence gives us the opportunity to take a new step forward and reinvent product development as a whole," said Maximilien Abadie, Deputy CEO of Lectra.

"With Apogy, we are launching the first and only solution designed to bring together all involved parties, data and processes that shape a product. By breaking down silos and streamlining interactions across the entire ecosystem, we enable fashion companies to develop desirable, manufacturable products that meet consumer demand more quickly," Abadie added.

Early adopters offer confirmed evidence. Irish sportswear brand O'Neills has deployed the platform. David Towell, Senior Manager at O'Neills, said bringing teams together on one platform eliminated errors associated with data transfers, improved transparency and increased productivity. Oniverse — the group behind Calzedonia, Intimissimi and Tezenis — is also engaged with the technology. Riccardo Romani, Operations Director at Oniverse, said access to advanced digital tools could help companies attract and retain a new generation of talent in product development roles.

Lectra positions knowledge retention as a second application. By making existing expertise available across an organisation, Apogy is intended to reduce dependence on individual specialists, preserve critical development skills and accelerate the training of new employees — a relevant consideration for sourcing hubs where experienced patternmakers and technical staff are ageing out of the workforce.

Delivered as SaaS, Apogy is designed to evolve continuously, with Lectra planning to expand its AI capabilities to automate further tasks and enhance development workflows over time.

The launch does not resolve every compliance question raised by AI-assisted development. Buyers adopting the platform will still need to trace how digital approvals and automated decisions feed into product data that regulators increasingly demand be accurate and auditable. What Apogy does force is a sourcing decision: whether to keep development fragmented across legacy systems, or consolidate specification, prototyping and supplier collaboration into a single AI-enabled environment before the next collection cycle begins.