Infrrd extracts and automates workflows from unstructured documents—invoices, contracts, engineering drawings, handwritten notes—using machine learning that improves with real-world data. The tech stack (Java, Spring, MongoDB, Cassandra, Kubernetes, AWS/GCP/Azure) and active projects (mortgagecheck platform, document ingestion workflows, backend services scaling) show a company building multi-tenant infrastructure for high-volume document processing. Engineering-heavy hiring and focused pain points around mortgage document intelligence and platform reliability suggest they're scaling toward regulated financial verticals.
Infrrd builds an AI-powered intelligent document processing platform that handles complex, unstructured data extraction and workflow automation. The company targets regulated industries including insurance, mortgage, real estate, engineering, and logistics—verticals where document processing is a cost and error-prone manual bottleneck. Their technology combines OCR, natural language processing, and image classification with industry-specific training; Ally, their AI agent, automates end-to-end workflows beyond raw data extraction. The company operates from San Jose and has filed 11+ patents around document intelligence and automation.
Java, Spring Framework, MongoDB, Cassandra, Docker, Kubernetes, and multi-cloud deployment on AWS, GCP, and Azure. Frontend: React, Angular, JavaScript. CI/CD: Jenkins, GitHub, AWS CodePipeline, Terraform.
Mortgagecheck platform, document ingestion and validation workflows, backend service scaling, and DevOps infrastructure—aligned with their focus on automating mortgage document processing at scale.
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