Bulk™ manufactures and markets sports nutrition products across Europe from a London base. The tech stack reveals a manufacturing-forward operation: heavy investment in generative AI tooling (Midjourney, Stable Diffusion, Runway, ComfyUI) for content creation sits alongside enterprise data infrastructure (BigQuery, dbt, Tableau) and manufacturing operations software (CMMS, NetSuite, Tipalti). Current hiring is concentrated in manufacturing (3 roles) and design (2 roles), with active projects spanning AI-assisted design workflows, machinery upgrades, and packaging-line scaling — indicating a push to automate content production while solving asset reliability and production-scaling bottlenecks.
Bulk™ is a privately held sports nutrition company operating since 2006, headquartered in London with 201–500 employees. The business manufactures and sells protein shakes, high-protein foods, vitamins, supplements, and related sporting goods. Operations span design, product development, and multi-site manufacturing, with current focus on improving production reliability, optimizing packaging costs, and scaling pilot lines to commercial volume. The company uses modern data and design tooling (Tableau, dbt, BigQuery, Adobe Creative Suite, generative AI) to support both operational and marketing functions.
Bulk™ uses generative AI tools (Midjourney, Stable Diffusion, Runway, ComfyUI), data infrastructure (BigQuery, dbt, Tableau, Python), manufacturing operations software (CMMS, NetSuite, Tipalti, Comarch Optima), and SEO/analytics tools (Semrush, Ahrefs, Google Analytics).
Active projects include AI-assisted design workflow development, automation and machinery upgrades, PPM programme implementation, packaging line scaling trials, and improving recyclability across packaging formats.
Bulk™'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.