Agent Reliability
AI agents fail in unpredictable ways - hallucinating, taking wrong actions, strategically underperforming on evaluations. We develop detection and verification methods for autonomous AI systems.
AI Trust & Reliability Research
The Science of AI Trust
Rotalabs develops methods for reliable, verifiable AI systems - detecting when agents fail, deceive, or underperform, and building the evaluation science to keep pace with reasoning models, multi-agent systems, and autonomous AI.
9
Research Tracks
4
Papers
Research Areas
AI Evaluation Science
Benchmarks are broken. Models game them. Sandbagging is real. We develop adversarial evaluation methods that resist gaming and detect hidden capabilities.
Reasoning Verification
Reasoning models (o3, R1, GPT-5) are powerful but opaque. We develop methods to verify AI-generated outputs - code, plans, decisions - without exhaustive testing or ground truth.
World Models & Physical AI
Beyond language: AI that understands and predicts the physical world. World models, embodied reasoning, simulation, and physics-aware AI for robotics and autonomous systems.
Research Tracks
| Area | Focus | Status |
|---|---|---|
| Agent Reliability | Detection and verification for autonomous AI systems | Papers Q1 2026 |
| AI Evaluation | Adversarial methods that resist gaming and detect hidden capabilities | Papers Q1 2026 |
| Memory Systems | Novel architectures for long-horizon agent tasks | Papers Q1 2026 |
| Reasoning Verification | Verifying AI outputs without ground truth | Papers Q1 2026 |
| Interpretability | Practical methods for production AI systems | Active |
| Multi-Agent Trust | Trust dynamics in multi-agent systems | Active |
| World Models | Physical AI, embodied reasoning, and simulation for autonomous systems | Active |
| Adversarial Robustness | Attack taxonomies and defenses for agentic AI | Active |
| Uncertainty Quantification | Calibrated confidence for AI decision support | Active |
Open Source
rotalabs-steer
Steering vectors for runtime behavior control in LLMs.
rotalabs-verify
Verification framework for AI-generated content.
rotalabs-probe
Detection tools for AI safety and sandbagging.
rotalabs-redqueen
Adversarial testing for AI systems.
rotalabs-eval
Comprehensive LLM evaluation with statistical rigor.
rotalabs-cascade
Trust-based routing and decision cascades.