Aligned Agent Tuning
Elevate Your AI Agents with Expert-Driven Data
01
Agent Trajectory Annotation
Our experts meticulously annotate agent trajectories, providing rich context and insights that enhance your agents' decision-making capabilities. This detailed annotation process enables you to create more intuitive, responsive, and effective AI agents that can handle complex, multi-step tasks with ease.
03
RLHF for Agent Trajectories
Leverage our Reinforcement Learning from Human Feedback (RLHF) services to fine-tune your agents' behaviors and responses, ensuring they align perfectly with user expectations and goals. Our diverse pool of human evaluators provides nuanced, context-aware feedback on agent performances across various scenarios.
02
Query-to-Tool Translation
We bridge the gap between natural language queries and tool usage, enabling your agents to execute tasks more efficiently and accurately. These demonstrations not only improves your agents' response accuracy but also enhances user experience by ensuring that agents understand and act upon user requests more naturally and effectively.
04
Trust and Safety
Our experts rigorously test and evaluate your agents' interactions, providing valuable feedback to improve performance and make sure the agent acts appropriately in all situations. We simulate a wide range of user scenarios, assess the quality of agent responses, and identify areas for improvement.