Technology
Exploring the technology behind intelligent systems.
Refit Gears is an emerging AI technology startup exploring modern artificial intelligence, intelligent automation, knowledge systems, and the engineering required to turn them into useful products.
Technology areas
Where we explore and build.
AI is more than a model. Useful intelligent systems depend on the models, data, software, workflows, interfaces, and infrastructure around them.
Artificial Intelligence
We explore modern AI and machine learning approaches to build systems that can understand information, recognize patterns, and support intelligent decisions.
Intelligent Automation
We combine AI capabilities with software workflows to reduce repetitive work and create systems that can respond to changing information.
Knowledge Systems
We explore ways to connect AI with documents, structured information, and organizational knowledge so information becomes easier to access and use.
AI Infrastructure
We consider the data, models, APIs, integrations, and application architecture required to turn AI capabilities into useful products.
AI + engineering
The model is only part of the system.
A useful AI product needs more than a powerful model. It needs the right data, application logic, interfaces, evaluation, and integrations around it.
We approach AI as an engineering problem as well as a model problem, focusing on how intelligent capabilities fit into real applications and workflows.
This perspective helps us explore ideas while keeping their practical use at the center.
Our approach
Explore first. Engineer with purpose.
AI is evolving quickly. We combine experimentation with engineering discipline to understand what is useful and how it can become part of a real system.
Explore
Study emerging AI models, tools, and techniques to understand what they make possible.
Experiment
Test ideas with prototypes and experiments before deciding how they should become part of a real system.
Engineer
Design the surrounding software, data flows, integrations, and interfaces needed to make AI useful.
Improve
Evaluate the result, learn from real usage, and continuously refine the system.
Technology & research
Curiosity drives what we build next.
Our technology direction is shaped by experimentation and research into the rapidly changing world of artificial intelligence.