C
Cambio applies LLMs and agentic AI to unstructured building data for asset managers and property investors. The stack reveals a full-featured AI application layer (LangChain, RAG, AWS Bedrock, OpenAI) married to traditional backend infrastructure (Django, PostgreSQL, Celery) — a pattern typical of companies moving beyond proof-of-concept toward production AI systems. Hiring velocity is accelerating with a sales-first mix (3 of 7 open roles), and active projects span both platform hardening (backend architecture, production scaling) and AI feature expansion (LLM pipelines, agentic workflows), suggesting a company scaling from product-market fit into enterprise sales motion.
Tech Stack 23 technologies
Core StackSlack TypeScript React Python HubSpot Django LangChain RAG Salesforce AWS Redis PostgreSQL Retool Celery Next.js Tailwind CSS OpenAI Notion AWS Fargate AWS SQS AWS CDK Django REST Framework AWS Bedrock
What Cambio Is Building
◆Challenges
- Driving arr growth
- Scaling production software
- Customer growth
- Top-of-funnel engine efficiency
- Process improvements and operational efficiencies
- Decarbonizing commercial real estate at scale
- Building marketing function from ground up
- Closing enterprise deals
- Closing complex deals
- Building sales pipeline
▲Active Projects
- Establish best-in-class sales organization
- Backend platform architecture
- Production software scaling
- Web development standardization
- Ai-based features for the platform
- Llm-based internal automation tools
- Ml/llm pipeline
- Top-of-funnel engine optimization
- Crm workflow automation
- Pipeline health dashboards
Hiring Activity
7 roles · 5 in 30d
Department
Seniority
Company intelligence
