Building the Future of Accessible Computer Vision
We believe powerful AI should be accessible to everyone, not just those with deep technical expertise.
Our Mission
At AXOLTL, our mission is to make visual intelligence systems accessible to the organizations that need them most.
For decades, building reliable computer vision systems has required specialized machine learning expertise, complex infrastructure, and large engineering teams. As a result, many organizations with valuable visual data in areas such as security operations, manufacturing, and logistics have been unable to fully leverage it.
IRIS was created to remove those barriers.
The platform provides an integrated environment for developing, validating, and deploying computer vision systems across the full lifecycle of visual AI. By simplifying the technical complexity behind model training, experimentation, and deployment, IRIS enables teams to focus on solving real operational problems rather than managing machine learning infrastructure.
Our goal is simple. Empower domain experts to build and operate visual intelligence systems while IRIS handles the complexity behind the scenes.
IRIS surfacing candidate detections for validation during model development
What Drives Us
The principles that guide every decision we make
Clarity Over Complexity
We design systems that simplify computer vision development rather than adding new layers of technical overhead. Every capability in IRIS is built to make users more effective, not to introduce unnecessary complexity.
Human-Centered AI
The most reliable AI systems combine machine intelligence with human judgment. IRIS is built around human validation and oversight so that automated detection remains transparent, accountable, and aligned with real operational needs.
Results That Matter
Technical performance alone does not define success. We measure impact by the outcomes our users achieve in the real world, whether that means improving safety, accelerating analysis, or enabling better operational decisions.
Founder Story
The journey from frustration to solution
Chandler Provence
Founder, AXOLTL
Creator of the IRIS visual intelligence platform. Former U.S. Marine focused on operational vision AI systems.
LinkedInIRIS was born from firsthand experience with the challenges of building real computer vision systems. Over the years we saw talented teams struggle with the same obstacles. Manual labeling bottlenecks slowed progress. Training pipelines were difficult to understand and harder to control. Deploying models into real environments often required rebuilding large portions of the system from scratch.
The turning point came during a defense project where rapid iteration on detection models was critical. The tools available at the time fell into two extremes. Some were too simplistic for real production use. Others were so complex that they required dedicated machine learning engineers just to operate. Instead of solving the problem, we found ourselves building custom tooling simply to move forward.
That experience clarified what was missing.
We needed a platform that combined the power of modern computer vision with the simplicity and accessibility of well designed software. A system where domain experts could build production ready visual intelligence systems without writing code, while still preserving the flexibility required for serious operational applications.
IRIS was built to meet that need.
Today the platform reflects that vision. Organizations can develop, validate, and deploy computer vision systems without the traditional barriers of infrastructure complexity or specialized expertise.
And this is only the beginning.
Get in Touch
Interested in learning more about the IRIS visual intelligence platform? Whether you are exploring a pilot deployment, partnership opportunity, or technical collaboration, we would welcome the conversation.
Location
United States
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