Rize builds software to help farmers adopt sustainable rice practices at scale across Indonesia, Vietnam, and India. The stack is modern full-stack (Python, Java, Node.js, React, PostgreSQL, AWS) with early LLM integration (OpenAI, Anthropic, Claude), and projects reveal heavy investment in AI-driven automation—autonomous scheduling agents, LLM-based decision-making, and an agent control plane—suggesting Rize is moving beyond advisory tools into autonomous operations management. Hiring accelerates across engineering and sales, with gaps in senior product and leadership roles.
Rize is a climate-tech startup backed by Temasek, Wavemaker Impact, Breakthrough Energy Ventures, and GenZero. The company operates a platform to quantify greenhouse gas emissions in rice cultivation and implement reduction strategies, pairing technical intervention with economic incentives across the supply chain to drive farmer adoption. Initial markets are Indonesia and Vietnam, with India in the pipeline; the vision is regional expansion. The product spans emissions identification, farming technique optimization, and emerging AI-driven workforce and operations automation to manage cultivation across thousands of hectares.
Python, Java, Node.js, React, PostgreSQL, Redis, AWS (Terraform, VPC, IAM, CloudWatch), GitHub Actions, Jenkins, GitLab CI/CD, Apache Airflow, Selenium, Appium, Robot Framework, OpenAI, Anthropic, Claude, and WhatsApp/Slack for notifications.
MVP development, autonomous scheduling agents for workforce management, LLM-based decision-making agents, an agent control plane for execution and logging, low-emission rice product launch, and regional expansion to reach 10 million farmers.
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