Case Study: Sensat eliminates manual engineering work and speeds project delivery with UP42

Sensat reduces manual engineering work by 200-300 hours with UP42

Sensat, an AI-powered digital twin platform for the AEC sector, needed to automate its data sourcing to scale its computationally expensive Digital Landscape product. Their challenges included logistical bottlenecks from contracting multiple data providers, significant manual engineering overhead slowing down delivery, and the need for uniformly standardized data formats to align with their proprietary algorithms. They turned to the UP42 platform to find a solution.

By implementing the UP42 API, Sensat built a fully automated, scalable data ingestion pipeline. This integration eliminated the need for manual vendor integrations and delivered standardized, high-resolution imagery directly into their processing cluster. As a result, UP42 saved Sensat 200-300 hours of manual engineering work annually, reduced errors in algorithmic 3D generation by 30-50%, and slashed basemap generation time by over 80%, accelerating early-stage project timelines by up to two months.

Sensat