Bettering
human
intelligence.
A research organization developing language models focused on reliability, transparency, and long-term alignment with human reasoning.
Building intelligence with restraint and depth.
We build systems for researchers, engineers, and technically literate thinkers who value clarity over performance theater.
Iris Labs is dedicated to the development of systems that maintain coherence over long contexts and communicate uncertainty honestly. Reliability is not a feature—it is our foundational design requirement.
Progress should not come at the cost of interpretability. Our models allow users to understand how conclusions are reached through verifiable reasoning chains.
Foundational Logic
Safety at Scale
Deployment-ready systems with built-in safeguards that ensure reliability across diverse contexts.
Calibrated Uncertainty
Honest communication of confidence and limits, ensuring models know what they don't know.
Interpretable Intelligence
Traceable reasoning and verifiable explanations that allow users to understand decision pathways.
Long-Context Coherence
Maintaining reliability and logic across extended interactions without degrading performance.
Specialized Focus Areas.
We operate multiple focused research labs, each dedicated to a critical component of safe artificial intelligence. Our work is peer-reviewed and open to academic collaboration.
Truthful & Calibrated Outputs
Ensuring models generate facts, not hallucinations.
Read Publication →Uncertainty Quantification
Developing metrics for model confidence and reliability.
Read Publication →Long-Context Reasoning
Solving the needle-in-a-haystack problem for large datasets.
Read Publication →