Maingen

Description

Benchmark models for safely running industrial systems, provide industrial deployment research, and schedule conversations to discuss evaluation needs with operators.

Related

• Moving AtomsBuilds simulation-ready worlds from real-world scans and provides workflows and benchmarks for robotics teams using physical AI simulation…
• CoArenaBuilds benchmarks, leaderboards, and real-world evaluations for computer-use AI agents, helping researchers compare model performance using…
• RunAnywhereBuilds inference pipelines, kernels, benchmarks, and open-source SDK infrastructure for developers running AI workloads across consumer…
• Discovered MaterialsBuilds AI agents to discover materials for semiconductor chips, with work including thermal interface material simulation, synthesis,…
• General InstinctBuilds offline edge deployment infrastructure for Physical AI, turning models into runtimes optimized for target devices and latency needs…
• MirrorsBuilds tools that route contextual guidance into AI agent conversations, helping agent teams use trace observations, preview matched…
• TokenlessFinds flaws in reinforcement learning environments and evaluations, helping teams training models or running agent evals prevent reward…
• Shiraz AIBuilds robots for manufacturing lines that learn new tasks from a single human demonstration, delivering hardware, model, and on-site…
• Lambda RoboticsBuilds autonomous robots for data centers and facilities, supporting AI infrastructure by handling physical work needed to keep compute…
• Standard MachinesBuilds environments and evaluations for advanced chip design, including reinforcement learning environments for long-horizon design tasks…
• CompresrBuilds an LLM context compression API that uses question-aware compression to reduce prompt tokens for teams running models, with…
• Olam LabsBuilds multi-agent simulation environments and pre-deployment evaluations that help AI labs and researchers assess model safety and…