AI Companies in Latin America: 9 Examples of Innovation

These AI companies in Latin America are building practical solutions powered by artificial intelligence to solve real-world problems.

Artificial Intelligence is no longer an emerging technology in Latin America. Across industries like IT services, finance, healthcare, retail, and customer experience, companies in the region are moving beyond experimentation and into real, production-level AI adoption.

This article highlights some of the most AI-experienced companies in Latin America, focusing not on buzzwords, but on practical, sustained use of AI to solve real business problems.

What Makes a Company “AI-Experienced”?

Not every company using AI can be considered AI-experienced. For this list, we evaluated organizations based on:

Years of AI adoption, not just recent launches
AI embedded into products or services, not isolated pilots
Human-in-the-loop approaches, where AI augments expert decision-making
Measurable business outcomes, such as efficiency, cost reduction, or improved user experience
Regional impact, particularly within Latin America

Companies included here demonstrate mature, responsible, and scalable AI usage.

The Most AI-Experienced Companies in LATAM

1. InvGate (Argentina – AI for IT Management)

InvGate is behind a complete platform for IT Service and Asset Management, enhanced by artificial intelligence. Its focus is on automating the time-consuming tasks that usually slow down IT teams.

Rather than positioning AI as a replacement for IT teams, InvGate integrates AI to support human decision-making, improve operational efficiency, and reduce manual workloads.

Key AI applications at InvGate include:

Intelligent ticket categorization and prioritization
Predictive insights for asset lifecycle and IT operations
AI-assisted knowledge management that combines structured content with contextual recommendations
Automation of repetitive IT workflows based on historical data

InvGate’s approach reflects a mature AI strategy: focused on usability, transparency, and real operational value rather than experimental features.

Founded in 2009 by Ariel Gesto, InvGate is a pioneer in the region and one of the few Latin American companies recognized by Gartner. Dr. Daniel Ciolek, who holds a PhD in Computer Science, leads the R&D department, integrating intelligence into the platform.

In addition to product development, InvGate actively contributes to AI knowledge sharing in the region through Envision, its annual event where IT leaders and practitioners explore the latest AI advancements, real-world use cases, and practical adoption strategies. Each edition of Envision serves as a platform to showcase how AI is evolving in enterprise IT environments, grounded in hands-on experience rather than experimentation.

2. Pragma (Colombia – Smart solutions for retail and logistics)

In Colombia, Pragma combines sensors, cameras, and computer vision algorithms to monitor retail shelves in real time. The system automatically detects empty spaces, tracks customer flow, and sends alerts to restocking teams—enabling faster, more accurate inventory management.

By using its own hardware and software, the solution can be deployed across different environments without requiring external infrastructure. This helps reduce out-of-stock issues, improves the shopping experience, and gives retailers more control over their stock.

The company is led by Chief Vision Officer Marcos Vélez.

3. Brincus (Chile – AI in education)

Brincus is a Chilean edtech that offers online school education by combining live classes with AI-powered virtual teachers. The platform adapts learning speed to each student and includes thousands of educational videos and practice questions. It also features chatbots that answer questions 24/7.

The AI monitors each student’s performance and automatically adjusts study paths based on their progress. This model has led to historically high approval rates—up to 98% in free exams — and has made quality education more accessible, especially in areas with limited educational infrastructure.

Founders:

Matías González (CEO): Business engineer with a Master’s in Innovation and Entrepreneurship. He previously led Uclases.
Diego Muñoz Duarte (CTO): Software engineer responsible for the platform’s architecture and AI scalability.

4. Aiflow (Mexico – AI for precision agriculture)

Mexican startup Aiflow offers a platform that uses satellite imagery and drone data to assess crop health. With predictive models, its AI detects water stress, plant diseases, and nutrient deficiencies, then provides specific recommendations for irrigation and fertilization.

This solution helps farmers make data-driven decisions without needing advanced technical knowledge. It also improves crop yields and reduces waste, particularly for medium to large-scale farms.

5. Blip (Brazil – conversational platform with native AI)

Blip is one of Latin America’s most successful AI startups. It specializes in conversational bots for WhatsApp, Instagram, Messenger, RCS, and more. In its Series C round, it raised $60 million led by SoftBank and Microsoft, bringing total funding to over $170 million.

Blip’s technology combines natural language processing and machine learning to understand user intent, provide contextual responses, and support automated interactions. It powers more than 300,000 bots that handle over 50 million daily conversations, helping brands like GM, Dell, and Itaú improve their communications, marketing, and support across multiple platforms.

6. DeltaAI (Brazil – predictive legaltech for businesses)

Launched in 2024 by former Forum Hub founders, DeltaAI combines AI with legal analytics (jurimetrics) to offer a SaaS platform that helps businesses proactively manage litigation. It analyzes court case data, consumer behavior, and client patterns to identify legal risks before they turn into disputes.

The company also provides legal BPO services, automating tasks like case auditing, process registration, and settlement support. DeltaAI helps reduce costs and improve business strategy by shifting legal management from reactive to proactive.

7. Notus (Colombia – AI for workplace wellbeing)

Notus developed a platform that tracks stress and burnout risks across teams by analyzing data such as email frequency, time between breaks, and language used in messages. The AI identifies behavioral patterns that deviate from the team’s standard workflow.

When early warning signs appear, Notus sends alerts so companies can act before employees face serious consequences. The goal is to support mental health and reduce unwanted staff turnover through early intervention.

8. Kudan.ai (Chile – AI for smart cities)

Kudan.ai brings AI to the edge, analyzing live video from urban cameras without relying on the cloud. Its technology identifies people, vehicles, and incidents in public spaces, allowing for faster responses to emergencies, traffic congestion, or suspicious activity.

The platform is modular, making it adaptable for use in malls, public safety systems, and other settings. Since it works without a constant internet connection, it’s a practical option for municipalities looking to improve efficiency without compromising privacy or speed.

9. SimpliRoute (Chile – AI-powered logistics)

SimpliRoute developed AI agents that optimize delivery route planning, adjust routes in real time based on traffic, and flag potential disruptions. It also automates customer service tasks, sending notifications and support updates without human involvement.

By combining location data, road conditions, and safety metrics, SimpliRoute’s AI works predictively and adaptively, cutting idle time, improving fleet efficiency, and helping businesses deliver on time more consistently.

Final thoughts

What we’re seeing in Latin America is a wave of AI adoption built around real business needs. The standout companies aren’t always the ones with the flashiest tech, they’re the ones who found a concrete problem and figured out how to apply AI in a way that works.

It looks like the moment has arrived. AI is no longer something we’re just experimenting with, it’s actively solving problems, from optimizing delivery routes to automating crop diagnostics.

That kind of practical, everyday application is what makes adoption sustainable —and may explain the strong growth forecasts ahead.