Cambio builds AI software that helps commercial real estate owners and asset managers plan retrofits and meet building-performance compliance. Its Python/Django and React/Next.js stack runs on AWS with Bedrock and OpenAI, and it is now adopting LangChain and RAG while building shared AI infrastructure and MCP integration, which points to an agentic product roadmap. Accelerating, engineering-led hiring alongside SOC 2 and ISO 27001 work suggests it is preparing to sell to larger enterprises.
Cambio is a New York-based company founded in 2022 that sells an AI-driven operations platform to commercial real estate asset managers, investors, property managers and sustainability teams. The software gathers building data and supports capital planning, compliance and retrofit prioritization across large portfolios. It integrates with ENERGY STAR Portfolio Manager and uses large language models to analyze unstructured property documents. The privately held company has 51–200 employees and hires in the United States, Canada and Belgium.
Cambio runs Python with Django and Django REST Framework, React, Vue and Next.js in TypeScript, and PostgreSQL, Redis and Celery. Its infrastructure is AWS, including CDK, Fargate and SQS, plus Kubernetes. For AI it uses AWS Bedrock, OpenAI, LangChain and RAG.
Yes. Engineering is Cambio's largest hiring area, and recruiting is accelerating. It is also hiring across operations, product, sales and support, mostly at mid and senior levels, in the US, Canada and Belgium.
Cambio is building a customer workflow builder, shared AI infrastructure and MCP integration. It is also running pricing experiments, launching customer pilots and onboarding programs, and gathering SOC 2 and ISO 27001 evidence.
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Cambio'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.