AI knowledge engines and context graphs for autonomous decision systems
Accrete builds AI knowledge engines that turn siloed and unstructured data into a learning intelligence layer for autonomous reasoning. Its multi-cloud stack (AWS, GCP, Azure) with ATO-ready security work and continuous-monitoring projects points to government and regulated buyers. Engineering-led hiring centers on dynamic context graphs, entity resolution and LLM reasoning, signaling a shift from static knowledge graphs to an agent-first platform.
Accrete is a privately held AI company founded in 2017 and headquartered in New York, NY, with 201–500 employees. It develops knowledge engines that unify fragmented systems, unstructured data and institutional expertise into a continuously learning layer for decision-making. Focus areas include supply chain risk, open-source and social media intelligence, explainable AI, knowledge graphs and predictive analytics. The team hires across the United States, United Kingdom and India.
Accrete runs Python, Go, TypeScript and React on AWS, GCP and Azure, with Kubernetes, Kafka, Airflow, Dagster, MongoDB, OpenSearch and DynamoDB, plus TensorFlow and PyTorch for machine learning.
Current work includes dynamic context graph development, entity resolution and relationship extraction, LLM reasoning integration, and an agent-first, AI-native next phase of its platform.
Accrete, headquartered in New York, NY, hires in the United States, United Kingdom and India, with engineering the dominant function alongside data, research, design and security roles.
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Accrete's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.