Beamery

Abakar Saidov, Michael Paterson, and Sultan Saidov founded Beamery in London with the diagnosis that enterprise recruiting had remained fundamentally broken despite decades of HR software investment. Applicant tracking systems were designed to process candidates through a pipeline, not to build long-term relationships with talent. Large companies were consistently losing touch with strong candidates who weren't ready to change jobs in the moment but would have been six months later. No system was capturing, nurturing, and activating that latent potential. Beamery built a Talent CRM — a system inspired by customer relationship management principles but applied to talent acquisition. The premise: the world's best employers should manage prospective candidates the way the best sales organizations manage prospective customers — with structured pipelines, personalized communication over time, and analytics to understand which talent marketing initiatives were actually working. Over time, Beamery integrated artificial intelligence at the core of its product, building a talent intelligence layer that analyzes candidate skills, predicts fit with open roles, and helps companies identify the critical competencies they will need in the future — not just the ones they need today. This shift toward workforce planning and skills intelligence repositions Beamery from a recruiting tool to a strategic platform for human capital management. The business model is enterprise SaaS licensing with fees based on user seats and the volume of candidates managed. Typical customers are large corporations with thousands of open positions each year, where optimizing the talent acquisition process has a direct and measurable impact on hiring costs and quality. Beamery has raised hundreds of millions in funding and serves some of the largest employers globally, building a distinctive position in the talent management software market — one that has become a strategic priority for organizations competing to attract and retain top professionals in an increasingly tight labor market.