SAPR builds production AI systems. Every project below went from problem to deployed solution — running in our clients' environments, processing real data.
Manual processing of diverse academic transcript formats was slow and error-prone, creating bottlenecks in admissions and transfer credit evaluation.
Automated extraction and normalization across multiple transcript formats, reducing processing time by [X]%.
Critical data locked inside PDFs, statements, and reports required manual entry — slow, expensive, and error-prone at scale.
Production pipeline extracting structured data from financial documents with [X]% accuracy.
Matching candidate skills to job requirements relied on keyword search and manual review, missing qualified candidates.
AI-powered matching system that surfaces qualified candidates based on skill relevance, not just keyword overlap.
40,000+ claims per year arriving as document bundles — medical records, invoices, adjuster notes — all requiring manual extraction and data entry.
Automated intake pipeline achieving 96.2% classification accuracy and cutting cycle time from 8.7 to 2.4 days.
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