AI-powered robotic process automation platform for enterprise workflows
ElectroNeek builds an RPA and hyperautomation platform with a heavy cloud-infrastructure focus — the stack reveals Kubernetes, Docker Swarm, Terraform, and dual-cloud (AWS + Azure) adoption, paired with ClickHouse and MongoDB for event and operational data. Current hiring is engineering-dominated (7 of 10 roles) at senior level, concentrated on AI agents, CI/CD pipeline design, and cloud provisioning, suggesting they're scaling toward product-led infrastructure maturity rather than sales expansion.
ElectroNeek provides robotic process automation and hyperautomation software for enterprise customers, enabling human-bot collaboration within business processes. The platform uses AI — including GPT and document intelligence — to handle workflow automation, data extraction, and intelligent process optimization. Operations are distributed across Latin America (Honduras, Chile, Colombia, Mexico, Costa Rica, Argentina, Peru), with headquarters in Austin. The company's active roadmap includes AI agent surfaces, workflow builders, and live product demonstration capabilities, addressing pain points around infrastructure efficiency, automation reliability, and tooling performance at scale.
Python and Node.js (NestJS, Angular frontend), deployed on AWS and Azure via Kubernetes, Docker Swarm, and Terraform. Data: MongoDB, ClickHouse. CI/CD: GitLab. Monitoring: Grafana, Zabbix. Sales ops: HubSpot, Salesforce.
Primary hiring footprint is Latin America: Honduras, Chile, Colombia, Mexico, Costa Rica, Argentina, and Peru. Headquarters: Austin, Texas.
ElectroNeek'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.