Belvedir

Description

Records agent calls and tool use, converts production traces into training data, trains models, and scores runs against customer-defined benchmarks.

Related

• HopperBuilds fast voice inference systems that train and serve STT, TTS, and speech LLMs using customers’ production calls and live traffic.
• MagmaPackages AI agent interaction data, including traces, corrections, and workflows, for licensing to labs and researchers with revenue…
• TrajectoryBuilds infrastructure and SDKs for continual-learning AI agents that train on real product usage, helping product teams adapt model…
• Singularly, S.L.Builds AI agent security and access controls for enterprises, enabling identity-aware protection and real-time monitoring for agent…
• MemorableBuilds graph-based procedural memory for AI agents, capturing session traces, converting successful runs into reusable workflows, and…
• PapayaMonitors AI agent production traces, analyzes prompts, context, tools, models, and outcomes, and suggests ranked fixes for teams improving…
• MirrorsBuilds tools that route contextual guidance into AI agent conversations, helping agent teams use trace observations, preview matched…
• AshrBuilds agents that curate traces, documents, and logs into training sets, post-train open-weight models, evaluate candidates in customer…
• CoArenaBuilds benchmarks, leaderboards, and real-world evaluations for computer-use AI agents, helping researchers compare model performance using…
• SilmarilSecures AI agent inference calls by blocking harmful outcomes at runtime for applications exposed to prompt injection, unauthorized tool…
• Understudy LabsBuilds tools that evaluate production workflows, capture expert corrections, and train task-specific AI models for teams optimizing model…
• DydemaBuilds AI models that interpret brain signals and records training data, helping neurotech developers add brain-signal inputs to software…