A fast-growing fintech needed 6 Machine Learning engineers with LLM expertise, but local hiring was slow, costly, and highly competitive. We recommended a nearshoring solution, connecting them with a broader, highly skilled talent pool in a proximate time zone and managing the entire process end-to-end, removing the operational burden from their internal teams entirely.

Within 12 months, we placed 22 consultants fully aligned to their technical and cultural requirements, delivered 20% cost savings versus local hiring, and filled a role that had sat vacant for months, all within weeks of engagement. Beyond placements, we acted as a strategic partner, advising on sourcing specialised talent in a competitive market and reducing risk for future growth.

Frustrated with US-based partners who were overcharging and underdelivering, a North American satellite radio and streaming giant approached us to build a European development team specialising in Typelevel Scala and AWS. Using our network across Europe, we rapidly assembled 24 hires across 6 domains, including 3 tech leads,  managing everything from sourcing and interviews to compliance and ongoing contractor management.

Two years on, we've placed 70+ consultants across 8 domains within the business. By leveraging our European networks, we reduced costs by approximately $600 per day, per head, with the most recent SOW completing nearly $4 million under budget.