Reasoning & planning
Investigating how agents decompose problems, plan actions, and assess the reliability of their decisions.
AI RESEARCH LAB
Intelligence.
Beyond the expected.
Agents that reason, remember, and work together. Our primary research advances agentic intelligence, alongside exploration in language models, computer vision, and physical AI.
Explore our research
OUR APPROACH
The next leap
starts with research.
We believe the next leap in AI lies in systems that turn understanding into purposeful action. Agentic intelligence is at the heart of Gaiko: how agents reason, build lasting memory, and coordinate. We connect this work with deep learning research across language, vision, and the physical world.
Deep learning at our core. Discovery in our DNA.RESEARCH DIRECTIONS
Agentic intelligence.
Our primary research focus.
Agentic memory & knowledge
Exploring persistent context, knowledge retrieval, and the use of experience across tasks.
Agent collaboration
Designing coordination between specialized agents, with human judgment built into the loop.
COMPLEMENTARY RESEARCH
Language. Vision. Physical AI.
Large language models
Language is a gateway to knowledge. We investigate how LLMs reason, adapt, and turn information into useful intelligence—from model fine-tuning to richer context and more reliable inference.
Computer vision
Seeing is only the beginning. Our research explores how models interpret images and video, connect visual signals with language, and build a deeper understanding of scenes, objects, and motion.
Physical AI
Intelligence gains a new dimension when it meets the physical world. We explore how perception, spatial understanding, and learned behavior can connect AI with embodied systems and real-world environments.
Expand what
intelligence can do.
Founded by Guilherme Schneider, Ph.D. in Computer Science. Built on deep learning expertise and a drive to advance AI.