Case Study: BenchSci achieves faster, more confident analytics scaling with Heap

BenchSci clears a path for rapid scale by building a strong analytics foundation with Heap

BenchSci, a biomedical AI company founded in 2015, needed a stronger analytics foundation as its Heap dataset became increasingly complex with growth. To support its mission of speeding up preclinical research, BenchSci turned to Heap’s Professional Services to improve data governance, clean up event tracking, and bring consistency to naming conventions and definitions.

Heap helped BenchSci reconfigure its data with tailored documentation, trainings, regular syncs, and a custom best-practices guide. The result was clearer, more trusted reporting, smoother onboarding for new analysts, and more efficient scaling across the team. BenchSci also reported measurable usage gains after the cleanup, including a 3x increase in average monthly Heap charts created and a 9x increase in new charts saved.

BenchSci

Wolfgang Mairinger

Senior Data Analyst