Enterprise AI for document processing, data querying, and workflow automation
Scry AI builds conversational AI and intelligent document processing platforms for regulated industries—finance, insurance, healthcare, logistics. The tech stack (OpenAI, Claude, LangChain, PyTorch, TensorFlow, PostgreSQL, MongoDB) reflects a mature ML ops foundation with heavy emphasis on LLM integration and computer vision (YOLO, edge deployment on Nvidia Jetson). Current project work on real-time vision pipelines, GenAI containerization, and supply-chain optimization signals a shift from core document/data products toward live operational automation. Hiring is mid-level dominant (12 mid-level, 9 managers) across marketing, data, and sales—typical of a post-product-market-fit company scaling go-to-market while managing complexity.
Scry AI delivers three main products: Auriga (conversational AI for querying structured and unstructured enterprise data with source traceability), Collatio (intelligent document processing that handles PDFs, scans, and complex formats without templates), and market-intelligence capabilities. All offerings are SOC 2 compliant and ISO 27001 certified. The company serves mid-market and enterprise customers in finance, insurance, healthcare, and logistics—sectors where audit trails, data governance, and compliance are non-negotiable. Based in San Jose and founded in 2014, the company operates with 201–500 employees and maintains active hiring across India and the United States.
Scry AI uses OpenAI and Claude as primary LLM providers, with LangChain for orchestration. For computer vision, the stack includes YOLO, PyTorch, and TensorFlow, deployed at the edge on Nvidia Jetson hardware.
Current projects include real-time vision pipelines for live video feeds, edge-deployed computer vision models, GenAI application scaling, supply-chain optimization, and operational anomaly detection via root-cause analysis.
Other companies in the same industry, closest in size