Case Study: Boston-based Synthetic Peptide Company achieves 3x scientific productivity and streamlined peptide manufacturing with Scispot

How a Boston-based Synthetic Protein/Peptide AI team collaborated with their wet lab team using Scispot OS

Boston-based Synthetic Peptide Company, a Boston-headquartered biotech building AI-driven peptide design and manufacturing for food supplements, faced fragmented data silos and slow hand-offs between manufacturing, proteomics and bioinformatics. The lack of standardized LCMS templates and missing links between mass-spec instrument outputs and experiment metadata delayed production and reduced reproducibility — challenges they addressed using Scispot OS (Scispot’s ELN & LIMS and API-first toolkit).

Scispot implemented an interoperable, API-first system with AI-enabled data discovery and a knowledge graph to link protocols, registries, instrument files and metadata, plus automated QC checks and standardized instrument formats. As a result, Scispot delivered a 40% reduction in programmatic request creation across teams, a 3x increase in scientific productivity, and a 20% reduction in planning time between process runs, speeding peptide manufacturing and improving traceability.