Yalo operates an intelligent sales platform built on LLM-based agents that automate personalized outreach via WhatsApp, voice, and in-app messaging. The stack spans Salesforce, HubSpot, Langchain, and LangSmith—revealing an architecture designed to bridge conversational AI with sales infrastructure. Hiring velocity is accelerating, but the job mix (4 sales, 1 engineering, 1 marketing) and stated pain points around partnership execution and scaling suggest the company is scaling go-to-market and partnership operations faster than product development.
Yalo is an AI-driven sales platform that automates outreach and relationship-building for companies operating in Latin America and North America. The product targets sales teams and uses intelligent agents to conduct personalized conversations at scale across WhatsApp, mobile apps, voice channels, and other messaging platforms. Founded in 2015, the company operates as a privately held SaaS business with 201–500 employees, headquartered in San Francisco. Current project focus centers on repeatable sales assets, partner co-development, marketplace strategy, and campaign execution—reflecting a shift toward partnership-driven growth.
Yalo's core stack includes Salesforce and HubSpot for CRM, Langchain and LangSmith for LLM orchestration, AWS and GCP for infrastructure, Python and Node.js for backend services, and Looker and Power BI for analytics. Flowise appears for low-code workflow design.
Yalo is headquartered in San Francisco, California. The company was founded in 2015 and operates as a privately held firm with 201–500 employees.
Yalo'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.