EGOS BI is a data analytics and modern data stack consultancy based in Monterrey, Mexico, serving 200+ clients across North and South America with a team of 30+ specialists. We help mid-market and enterprise organizations in retail, manufacturing, and logistics move beyond fragmented reporting and manual processes toward unified, AI-ready data infrastructure.
As an authorized partner for Snowflake, Tableau, Fivetran, Alation, and ClickUp, we design and implement end-to-end Modern Data Stack solutions — from data ingestion and governance to analytics and AI agent enablement. Our delivery model, Células de Trabajo (Reserved Capacity), gives clients dedicated, senior-level technical teams without the friction of traditional fixed-scope engagements, ensuring consistent velocity and accountability throughout every project.
With over a decade of experience and deep relationships with leading enterprises across Latin America, EGOS BI combines technical depth with a business-first approach: we lead with the operational pain points our clients face, not the technology stack, and we deliver measurable outcomes in productivity, decision-making speed, and data trust.
EGOS BI partners with Superhuman to bring high-performance email and productivity workflows to the executive teams and technical specialists we serve across Latin America. As organizations modernize their data infrastructure with us, we see firsthand how much time is lost to inefficient communication tools — Superhuman closes that gap.
Through this partnership, EGOS BI introduces Superhuman to our network of 200+ enterprise clients and decision-makers, positioning it as a natural complement to the productivity and AI-readiness transformation we lead. Our consultants and account teams also use Superhuman internally, giving us firsthand credibility when recommending it to clients who demand speed, focus, and executive-level efficiency in their daily communication.
We see this collaboration as an extension of our broader mission: equipping ambitious companies with the tools and infrastructure they need to operate at an AI-native pace — from the data layer all the way to the inbox.