About Locupix

We help people connect through language using images first.

Locupix is a visual language-learning platform that combines images, text, audio, adaptive practice, and AI-assisted content infrastructure. Our goal is to make new words feel concrete before they become memorized.

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Company profile

Locupix, LLC

Product: Locupix
Platform: Web and iOS
Stage: Live web product, iOS launch preparation
Focus: Visual, AI-assisted language learning

Mission

Connect people through language using images as the primary medium to learn.

production learning languages

1192

visual vocabulary concepts

learning stages

Company

A digital-native product company.

Business description

Locupix, LLC builds software for visual, AI-assisted language learning. The flagship product is Locupix, available on the web and prepared for native iOS use.

Target audience

Locupix is built for independent learners, families, educators, and multilingual communities that benefit from image-first language acquisition.

Product stage

The web product is live at locupix.com. The iOS app is in launch preparation, and the product is being refined with early users.

Business model

Locupix is currently free to use. Future plans may include paid accounts or subscriptions for advanced learning features.

Product

Images are the anchor. AI supports the learning pipeline.

Locupix presents vocabulary and grammar through visual concepts, audio, and short practice games. AI assists the content workflow by helping generate and maintain translations, definitions, romanization, and audio for reusable educational material.

Visual acquisition

Learners connect words to scenes, objects, actions, and audio.

Adaptive practice

Progress stages and game logs help guide repeated practice.

AI-assisted content

AI helps a lean team scale learning material while keeping room for human judgment.

Research direction

Making practice more engaging in service of learning.

Visual reinforcement

We plan to study how images, audio, retrieval practice, and review timing work together to strengthen language memory.

Learning recommendations

Modern recommendation systems make digital products responsive and engaging. We want to apply those ideas to choose useful practice, not to optimize attention for its own sake.

Human review where it matters

AI helps us move faster, but we still inspect data manually where correctness, cultural nuance, and learning quality matter.

Founders

Built by researchers and educators working across AI, language, learning, and markets.

Founder profiles are linked for public validation of professional background.

Founder

Vicente Ordóñez-Román

Computer scientist working at the intersection of computer vision, natural language processing, and machine learning, with research in vision-language learning and multimodal AI systems.

Public profile

Founder

Tilsa Oré-Mónago

Economist and educator with expertise in industrial organization, applied game theory, competition policy, market design, and economic regulation.

Public profile

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