AI and document intelligence platform for enterprise automation
Element Technologies builds agentic AI and intelligent document processing solutions for enterprises in life sciences, financial services, and retail. The stack spans legacy enterprise systems (Oracle, SAP, Salesforce) alongside modern cloud infrastructure (AWS, Azure, GCP), with active AWS expansion and heavy investment in data engineering. Current hiring skews senior (5 of 8 open roles) across data and engineering, paired with urgent pain points around cloud migration and data infrastructure — a pattern typical of orgs consolidating on-premises systems into cloud-native stacks.
Element Technologies is an AI and digital transformation consultancy founded in 2001, headquartered in New Jersey. The company serves mid-to-large enterprises across life sciences, financial services, retail, and media. Their core offerings include Elevate, an enterprise document intelligence platform combining OCR and generative AI; agentic AI systems for autonomous decision-making; intelligent document processing for workflow automation; cloud and data engineering services; and innovation pods for emerging technology pilots. The organization operates across three continents, with hiring in the United States, India, and Mexico.
Elevate, an enterprise-grade document intelligence platform featuring GenAI, OCR, and search capabilities. They also offer agentic AI systems, intelligent document processing for workflow automation, and cloud architecture services.
AWS, Azure, and Google Cloud Platform. The company is currently expanding AWS deployments and actively migrating on-premises workloads to cloud infrastructure.
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Element Technologies'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.