Apodex 1.0-H 让智能体团队协作处理复杂任务，还用独立验证提升准确率。每月10万算力补贴，研究机构别错过。
Apodex Frontier Program 每月为初创公司和机构提供10万美元计算积分，参与者可访问 Apodex Deep Discover 求解器。该求解器基于 Apodex 1.0-H 模型，模型像智能体团队工作：编排器分解任务并派生多达150个专用子代理，每个子代理异步执行独立上下文和工具。模型通过生成→验证→修改过程改进推理，验证由独立代理团队（冲突审核、事实检查、起草审核）完成，不依赖答案键。在单次任务中，模型能协调150个子代理执行超过15000步。
$100,000/mo in compute credits to startups and ins…
$100,000/mo in compute credits to startups and institutions that apply and join the Apodex Frontier Program.
I'm posting the link below.
Beyond the compute credits, you get access to the Apodex Deep Discover solver, powered by one of the most interesting models I've seen in a while.
A quick summary of the Apodex 1.0-H model:
1. The model works like an agent team, not a single model looping over the same context. An orchestrator decomposes a task and spawns specialized subagents on demand. Each subagent works asynchronously with its own context and tools. This behavior was trained into the model.
2. The model can improve its own reasoning through a generate → verify → revise process. It generates an answer, an internal grader evaluates it, and finally, it revises it based on that feedback over multiple rounds. The grader never sees the answer key, so the process does not rely on memorization.
3. Verification is handled by independent agents, not the same model checking itself. It uses a dedicated verification team, including a conflict reviewer, a fact checker, and a draft reviewer, to audit the output before delivery. It backs every output claim with an explicit evidence chain.
To give you an idea of how powerful Apodex-1.0-H is, it can coordinate up to 150 subagents executing over 15,000+ steps within a single task.
If you are a research institution, academic lab, or research startup, consider applying.