platoseedplatoseed
Environments for Long Horizon Tool Use
Aviro builds RL environments for long-horizon tool use across ML research, live web, and enterprise knowledge work. We partner with frontier labs and Fortune 100 companies to train models as high-stakes operators and perform research-grade work.
Aviro builds training environments for long-running agents, providing simulated environments and resources to train agents that navigate complex information spaces. The focus is on research-backed environments to support frontier models and long-horizon tool use.
Provides simulated environments and training resources designed for long-horizon tool use by agents. The environments are tailored to train agents to navigate complex information spaces, enabling experimentation and benchmarking for advanced, long-running AI systems. The product is positioned as training environments for next-generation agents, with a research-backed approach and a demo option.
Who it’s for: research teams and enterprises developing long-horizon AI agents and frontier-model workflows
Funding mentions (Y Combinator) and enterprise/academic oriented product, plus a demo and research resources
You build the flow. We make it unbreakable.
Tropir provides an automated debugging and validation layer for AI pipelines, tracing root causes across prompts, retrievals, tools, and context, applying fixes, rerunning the pipeline, and evaluating results. It targets teams building RAG workflows, support bots, and research agents to improve reliability and speed.
Formerly “Tropir” · why startups rename →
RL environments for long horizon AI Agents
Live Environments for Training AI Agents
