HENRY

HENRY, based in Buenos Aires, Argentina, operates as an AI engineer training platform that connects skilled talent with companies for hiring. The organization specializes in developing proficient AI engineers from Latin America through structured programs, preparing them for global teams with a rapid placement model, often within 72 hours of client engagement. HENRY aims to provide cost-effective tech talent solutions to its corporate clients, facilitating access to a diverse pool of English-proficient professionals ready for immediate integration. The company currently maintains a team of 100 employees dedicated to its comprehensive training and placement initiatives, serving a broad range of tech companies seeking specialized AI expertise across various industries. Its primary market involves placing LATAM-based AI engineers into tech companies worldwide, addressing the growing demand for specialized technical roles. Founded in 2019 by Manuel Barna Ferrés, Luz Borchardt, Martin Borchardt, and Leonardo Maglia.

HENRY is an AI-driven company that trains AI engineers and connects them with companies, focusing on solving talent gaps in technology sectors. However, there are two distinct entities named Henry relevant here:

1. Henry (Latin America coding school): An education company based in Argentina that offers intensive, zero-cost computer science training to address the shortage of technical talent in Latin America, enabling graduates to access high-paying jobs and reduce income inequality[1].

2. Henry AI (U.S. Proptech startup): A Manhattan-based AI company that builds AI-powered marketing and deal-making software for commercial real estate (CRE) brokers, automating time-consuming tasks like creating pitch decks and financial analyses to accelerate deal workflows and improve broker productivity[2][3][4][5][7].

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High-Level Overview

For Henry AI (Proptech startup):
Henry AI builds an AI-powered platform that automates the creation of professional-grade marketing materials and financial analyses for commercial real estate brokers and analysts. It serves major U.S. commercial brokerages, including five of the top 10 firms, enabling them to drastically reduce the time spent on repetitive tasks such as underwriting, market research, and deck creation. This automation helps brokers focus on client relationships and closing deals, addressing inefficiencies in a $20 trillion industry[2][3][4][7].

For Henry (LATAM coding school):
Henry provides free, intensive computer science education online and live to Latin American students, targeting the region’s high demand for technical talent but limited supply of coding schools. Its mission is to democratize access to high-paying tech jobs, offering graduates salaries on average three times higher than regional norms, thus tackling income inequality through education[1].

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Origin Story

Henry AI:
Founded in 2024 by Sammy Greenwall, a former commercial real estate analyst who experienced firsthand the inefficiency of creating pitch decks and marketing materials. The idea emerged from his desire to automate these repetitive, time-consuming tasks. Early traction included rapid adoption by top brokerages and reaching $1 million ARR within eight months without marketing spend, validating the product-market fit[2][4][5].

Henry (LATAM coding school):
Founded in Argentina to challenge the status quo of education in Latin America, Henry was created to provide accessible, high-quality tech training to anyone willing to engage in its rigorous curriculum. It addresses the region’s acute shortage of technical talent and aims to reduce income inequality by enabling students to secure significantly better-paying jobs[1].

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Core Differentiators

Henry AI:
- Unique AI-powered automation: Uses large language models and proprietary AI to generate polished marketing decks and financial analyses in minutes.
- Developer experience: Seamlessly integrates AI with human quality control to ensure accuracy and professionalism.
- Speed and ease of use: Cuts deck creation time from weeks to minutes, enabling brokers to respond faster to clients.
- Enterprise-grade security: SOC 2 Type I compliant and encrypted by default, ensuring data privacy and control.
- Strong early adoption: Used by several top U.S. commercial brokerages, demonstrating market validation[2][3][4][5].

Henry (LATAM coding school):
- Zero-cost tuition model: Removes financial barriers to tech education.
- Intensive curriculum: Designed to rapidly upskill students to meet high industry standards.
- Focus on employability: Directly connects graduates with companies, emphasizing job placement and salary growth.
- Social impact: Targets income inequality by enabling access to high-paying tech roles in a region with limited opportunities[1].

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Role in the Broader Tech Landscape

Henry AI:
Rides the wave of AI adoption in commercial real estate, a traditionally manual and slow industry. The timing is critical as CRE professionals face increasing pressure to digitize and automate workflows. Market forces such as the growing CRE transaction volume and demand for efficiency favor Henry AI’s solution. By automating tedious tasks, Henry AI is accelerating deal-making and setting a precedent for AI integration in proptech[2][4][7].

Henry (LATAM coding school):
Addresses the global tech talent shortage by focusing on Latin America, a region with high demand but limited supply of skilled engineers. The rise of remote work and global tech hiring trends amplify the importance of accessible, high-quality training. Henry’s model supports economic inclusion and workforce development, influencing education and employment ecosystems in LATAM[1].

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Quick Take & Future Outlook

Henry AI:
With rapid early growth and strong backing, Henry AI is poised to expand its product capabilities and customer base in the CRE sector. Future trends like increased AI adoption, data-driven decision-making, and digital transformation in real estate will shape its trajectory. Its influence may extend to other asset classes and geographies, further automating CRE workflows and redefining broker productivity[2][5][7].

Henry (LATAM coding school):
Continued expansion and refinement of its curriculum and placement network will likely increase its impact on Latin America’s tech workforce. Trends such as remote work, AI integration in software development, and rising tech demand globally will enhance the value of its graduates. Henry’s model could inspire similar education initiatives in other emerging markets, amplifying its social and economic influence[1].

Both Henry entities exemplify how AI and education innovation can transform industries and empower individuals, aligning with the broader shift toward technology-driven workforce development and operational efficiency.