Multilingual content agency scaling creative adaptation with AI and automation
Locaria operates as a global content adaptation agency serving marketing teams, e-commerce platforms, and media buyers. The tech stack reveals a production-heavy organization — Adobe Creative Suite (Photoshop, Illustrator, InDesign, Premiere, After Effects), Cinema 4D, and Blender dominate — paired with GCP and BigQuery for data infrastructure and Monday.com for workflow management. Active projects span financial operations (cash flow forecasting, revenue recognition, month-end close optimization) alongside core adaptation work (brand asset localization, digital asset management, website translation), suggesting a maturing back-office function layered into a creative services model.
Locaria is a London-based multilingual content agency founded in 2017, employing 201–500 people across locations including Ukraine, Serbia, Malaysia, and Mexico. The company specializes in linguistic and creative adaptation — helping in-house marketing teams, e-commerce operators, media agencies, and production houses scale campaigns and content across languages and cultural contexts. The service mix includes website localization, transcreation, brand adaptation, multilingual SEO, and digital asset management. Operations are supported by Adobe Creative Cloud, GCP, BigQuery, and Monday.com, with recruitment managed through iCIMS and LinkedIn Recruiter.
Adobe Creative Cloud (Photoshop, Illustrator, InDesign, After Effects, Premiere Pro), Cinema 4D, Blender, GCP, BigQuery, Monday.com, Figma, Okta, Active Directory, and iCIMS for recruitment.
Current initiatives include cash flow forecasting, revenue recognition system optimization, global brand asset adaptation, digital asset localization, website localization projects, and automation of reporting dashboards.
Locaria'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.