AI decision agent for enterprise supply chain and operations optimization
Aera builds a decision intelligence platform that automates operational decisions for large enterprises, with heavy investment in supply chain workflows. The tech stack reveals a production-grade, multi-cloud setup (AWS, Azure, GCP) with modern infrastructure-as-code tooling (Terraform, Argo CD, Kubernetes) — suggesting Aera is scaling toward complex, distributed deployments. Hiring skews heavily toward sales and support roles, indicating customer acquisition and onboarding challenges typical of enterprise AI adoption.
Notable leadership hires: Tech Lead
Aera Technology, founded in 2017 and based in Mountain View, develops an AI agent that continuously monitors business operations, generates recommendations, executes actions, and improves through feedback. The platform targets enterprises in supply chain, finance, and sales functions. Active projects include supply chain KPI dashboards, real-time inference infrastructure, and multi-cloud deployment automation — reflecting both product maturation and infrastructure-heavy scaling. The company operates across the United States, Mexico, India, France, and the United Kingdom with 201–500 employees.
Core stack includes Python, SQL, FastAPI, Django, Flask, and SAP. Infrastructure runs on AWS, Azure, and GCP with Kubernetes, Docker, Terraform, Argo CD, and Istio. Observability uses Prometheus, Grafana, and OpenTelemetry.
Active projects include real-time AI inference platform, multi-cloud infrastructure scaling, supply chain KPI dashboards, data integration strategy, observability framework integration, and marketing automation workflows.
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