Two products, one operational thesis
IRIS focuses on computer vision. PlayMaker focuses on orchestration. Together, they reflect AXOLTL's broader thesis: AI systems should not stop at prediction. They should help teams understand what is happening, decide what matters, and adapt as conditions change.
IRIS
IRIS is our flagship computer vision lifecycle platform. It brings data, labeling, training, evaluation, deployment, and monitoring into a single workflow so vision models keep performing after they ship. IRIS has its own product site with the full picture.
- Data, labeling, and dataset management
- Training and evaluation in one workflow
- Deployment to edge and cloud targets
- Monitoring for drift after models ship
Where IRIS fits
IRIS is where vision models are built and improved. When those models run inside a larger operation — alongside other sensors, systems, and people — PlayMaker coordinates what happens next.
PlayMaker
PlayMaker is an early AXOLTL prototype for operational AI orchestration. It sits above individual models and systems in environments where multiple sensors, AI models, workflows, and human decision-makers need to work together — connecting signals, prioritizing events, routing tasks, triggering workflows, and keeping humans in the loop when decisions require review or action.
Compose flows and orchestration rules
Wire sensors and models into flows, then add WHEN/THEN rules for fallback, escalation, and automated response.
Monitor deployments across sites
Track active deployments and cluster topology across operational sites, with live, degraded, and failed states.
What PlayMaker coordinates
Instead of treating each AI model as a standalone tool, PlayMaker helps teams decide what happens next across live data, alerts, people, and systems.
Connect signals
Bring sensors, AI models, and data streams into one place instead of treating each system as a standalone tool.
Prioritize events
Rank what matters across live data so operators see the events that need attention first.
Route tasks
Send the right work to the right model, system, or person based on the conditions in front of you.
Trigger workflows
Turn conditions into action with rule-based orchestration — fallbacks, escalation, and automated responses.
Keep humans in the loop
Pause for review and hand off to people when a decision requires judgment, sign-off, or action.
Coordinate across systems
Sit above individual models to help teams decide what happens next across the whole operation.
Where it fits
PlayMaker is built for environments where teams need better coordination across live data, alerts, people, and systems.
Who it's for
Organizations with complex operational environments that are deploying AI across physical-world workflows.
- Manufacturers
- Security teams
- Defense contractors
- Infrastructure operators
- Logistics teams
Coordinating AI across a real operation?
PlayMaker is an early prototype and we're working with a small number of teams. If your environment spans sensors, models, workflows, and people, we'd like to hear about it.