Case Study: Polly achieves 5X lower-cost, high-throughput STAR RNA-seq data processing with Elucidata's Polly platform

Polly delivers STAR-quality RNA-seq data 9x faster and 5x cheaper with Elucidata

The customer, a global AI biotech company named Polly, faced significant challenges in generating the high volume of consistently processed bulk RNA-seq data required to train its machine learning models. The high costs and computational difficulty of scaling their STAR pipelines, coupled with problems integrating public data with their in-house data, hindered their research and development efforts. To overcome this, they partnered with the vendor, Elucidata.

Elucidata implemented a custom STAR pipeline on its Polly platform to address the customer's needs. This solution delivered the required high-throughput data that was consistently processed. The project was completed 9x faster than industry averages and at a 5x lower cost, resulting in substantial cost savings of $1.4 million for the company and enabling more effective training of their ML models.

Polly