1touch.io builds an automated data discovery and cataloging platform focused on locating personally identifiable information (PII) and sensitive attributes across structured and unstructured data stores. The stack—Python, PyTorch, Hugging Face Transformers, spaCy, Neo4j—reflects a machine-learning-heavy approach to entity extraction and document classification, moving away from rule-based or manual mapping. Active projects show the company scaling both the core product (production-grade AI systems for unstructured collections) and go-to-market infrastructure (sales tools, proof-of-value workflows, support automation).
1touch.io automatically discovers, maps, and catalogs sensitive information across enterprise networks without requiring manual expertise or programming. The platform detects personally identifiable information and related attributes in both structured and unstructured data, and applies findings to three use cases: residual risk visibility, security incident detection and response, and operationalized privacy compliance. Founded in 2017 and based in New York, the company employs 51–200 people. Current hiring activity is accelerating across engineering, sales, support, and marketing, with senior-level roles predominating. The team is distributed across the United States, Portugal, Mexico, and Czechia.
Core stack includes Python, PyTorch, Hugging Face Transformers, and spaCy for NLP and entity extraction. Neo4j and NetworkX support data relationship mapping. Frontend is built in Angular and TypeScript. Kubernetes and Linux run production infrastructure.
Active projects include production-grade AI systems for unstructured document collections, LLM-powered automation, entity extraction and classification, sales tool development, and support workflow automation (follow-the-sun procedures, ticket triage, SLA monitoring).
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