IT staffing and managed services with emerging AI integration focus
Datum Technologies Group is a 20-year-old IT services firm pivoting toward AI-enabled workflows. Their project list reveals a shift from traditional staffing and legacy-system support toward agentic systems, document understanding, and call-center automation — a pattern backed by hiring velocity accelerating across engineering and data roles. The stack spans enterprise platforms (SAP, Salesforce, Duck Creek) and modern web tooling (React, Next.js, Docker), but pain points around AI hallucination reduction and governance suggest they're still operationalizing AI rather than shipping it at scale.
Notable leadership hires: Technical Lead
Datum Technologies Group provides IT staffing, managed services, and technology project delivery to mid-market and enterprise customers. Based in Johns Creek, GA, the company operates across multiple service lines: application development, web and mobile platforms, government contracts, legacy system support, and big-data analytics. They deploy resources in the United States and India. Recent project work focuses on migrating legacy systems (Proficy web client, SDMS upgrades, ERP implementations), automating call-center workflows, and building AI-powered features for document processing and legal intelligence. The business model combines staff augmentation with custom development and managed-services contracts.
Datum's stack spans enterprise platforms (SAP, Salesforce, Duck Creek), cloud infrastructure (AWS, Azure, GCP), web frameworks (React, Next.js, Tailwind CSS, Node.js), backend languages (Java, Python, PHP), databases (SQL Server), and DevOps tools (Docker, Webpack, Vite). They also deploy NICE InContact for contact center work.
Active projects include AI agents and agentic workflows, LLM-powered document understanding, call center automation, API middleware and ETL integration, and legacy system migrations. Pain points include reducing AI hallucinations, implementing AI governance, and managing latency/cost trade-offs.
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Datum Technologies Group'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.