AI-powered automation and document intelligence for enterprise workflows
Info Origin builds enterprise AI systems spanning multi-agent orchestration, legal document intelligence, and test automation. The tech stack is mature and diversified—.NET, Java, Python, Go across AWS, Azure, and GCP with Kubernetes and strong observability (Prometheus, Grafana, Elasticsearch)—reflecting production-grade, multi-cloud operations. Current hiring is heavily engineering-focused (6 of 8 open roles), weighted toward senior talent, with projects centered on CI/CD infrastructure and scalable cloud environments; pain points around build times, disaster recovery, and IFRS compliance suggest they're scaling internal platform reliability while managing compliance demands.
Info Origin is a privately held AI company founded in 2011 and headquartered in Topeka, Kansas. They develop intelligent systems for enterprise customers, with four core product lines: AgentFarm (a multi-agent AI workforce with auditability and real-time observability), Contract Insights (AI-driven document analysis and comparison for legal workflows), CDMS (AI-powered document creation and collaboration), and Info QA (codeless test automation). The company operates across AWS, Azure, and GCP using a polyglot stack (.NET, Java, Python, Go) with Kubernetes orchestration and centralized monitoring. Engineering is the primary hiring lever, with accelerating velocity focused on senior-level hires.
Info Origin uses .NET, Java, Python, and Go on AWS, Azure, and GCP. Infrastructure relies on Kubernetes, Docker, Terraform, and CloudFormation. Observability is built on Prometheus, Grafana, and Elasticsearch.
Current projects center on CI/CD pipelines for backend APIs, scalable cloud environments, and centralized logging and monitoring. Pain points include improving build times, disaster recovery readiness, and IFRS compliance.
Info Origin Inc.'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.