Yalo builds an AI-driven sales platform that automates personalized customer interactions across WhatsApp, voice, and app channels using large language models. The tech stack—Langchain, LangSmith, LangGraph, Node.js, Go, and Salesforce—reflects a backend-heavy architecture optimized for real-time conversational AI, while active projects around LLM evaluation frameworks and generative AI architecture signal ongoing refinement of core agent capabilities. Hiring velocity is decelerating despite expanding market and product roadmaps, suggesting the company is consolidating engineering gains before next growth phase.
Yalo operates an intelligent sales platform that uses AI agents to automate customer conversations and drive sales across multiple channels. The product targets mid-market and enterprise companies selling through WhatsApp, native apps, and voice, with particular strength in Latin America (active hiring in Mexico and Brazil). The platform integrates with Salesforce and HubSpot for CRM connectivity and uses modern cloud infrastructure (AWS, GCP) to handle multi-channel routing and LLM inference at scale. The company is currently working on market expansion, sector penetration, and improving renewal quality—suggesting both land and expansion strategies are in motion.
Yalo uses Langchain, LangSmith, and LangGraph for LLM orchestration; Node.js and Go for backend services; Salesforce and HubSpot for CRM integration; AWS and GCP for cloud infrastructure; and Slack, Jira, and Google Workspace for internal operations.
Yalo is headquartered in San Francisco, California, with active hiring operations in Mexico and Brazil to support Latin American market expansion.
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