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AfterQuery
AI 工具评分卡

AfterQuery

将领域特定专家思维（决策、权衡与上下文）编码为训练数据，帮助AI模型执行真实世界的专业工作，而非泛化的问答任务。

免费增值AI 数据挖掘afterquery.com
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发布于 2026年7月6日

基准评分

AfterQuery 在 Agent 就绪度与 AI 可见性上的得分 AI 就绪度和 GEO Score 是 VibeLaunch 在提交后生成的平台评估。

由 AIGC List 基准评分提供支持

决策摘要

AI research labs, enterprise AI teams, and domain-expert organizations seeking to encode proprietary workflows into training data.

Creating expert-level training datasets for domain-specific AI fine-tuning, particularly for professional workflows requiring judgment and context.

适合

  • Organizations needing domain-specific AI training data
  • Frontier labs seeking benchmark improvement with validated results
  • Enterprises with proprietary workflow knowledge to encode

注意

  • Requires deep partnership integration; not a self-serve tool
  • Limited public track record beyond published case studies
  • Requires deep partnership integration with on-site engagement; not a self-serve platform

概述

AfterQuery 处于革新 AI 研究和训练的��前沿，提供精心打造的数据集。AfterQuery 意识到 AI 模型的性能从根本上受限于其训练数据的质量，因此致力于填补现有解决方案无法满足的市场空白。合成数据往往缺乏人类见解，公共数据集稀疏且不足以推动研究边界，而网页抓取的数据则因噪声大而闻名。AfterQuery 通过专门的研究以及与领域专家的战略合作，正面应对这些挑战。\n\n该平台提供了一系列旨在提升 AI 模型能力的解决方案。这包括 SFT Pairs（有监督微调对），提供高质量的“提示-响应”和思维链（chain-of-thought）推理示例，以教授 AI 模型所需的行为。他们还提供针对用户查询和反馈的 RL/HF，通过引入真实的人类反馈循环，使 AI 的响应与用户偏好保持一致。对于智能体（agent）开发，Computer Use Trajectories（计算机使用轨迹）提供人类软件交互的分步记录，使 AI 智能体能够学习像人类一样的导航。此外，RL Environments（强化学习环境）为 AI 智能体提供自定义模拟空间，使其通过试错进行学习，在没有现实风险的情况下培养稳健的决策能力。AfterQuery 致力于成为训练数据的新金标准，赋能研究人员和企业构建更好、更强大的 AI。\n\n### 核心能力\n- 精心打造的数据集：通过研究和领域专家协作开发的高质量数据，克服了现有解决方案的局限性。\n- 多样化的数据解决方案：提供 SFT Pairs、RL/HF 反馈、Computer Use Trajectories 和 RL Environments，量身定制以满足各种 AI 训练需求。\n- 专注于前沿研究：数据集旨在突破 AI 研究的边界，支持开发更先进的模型。\n- 人类见解集成：结合人类反馈和真实世界的交互数据，增强 AI 的理解力和对齐能力。\n\n### 适用人群\nAfterQuery 服务于旨在开发尖端 AI 模型的 AI 研究人员、数据科学家和企业。对于那些从事需要细微理解、类人交互或高级决策能力的复杂 AI 任务的人员来说，它尤其具有价值。该平台是寻求超越通用数据集局限性、并为获得卓越 AI 性能而投资高质量数据的组织的理想选择。

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评分构成

编辑评分由哪些维度构成，每项附判断依据。 AI 就绪度和 GEO Score 是 VibeLaunch 在提交后生成的平台评估。

Information quality

Third-party validated through NVIDIA technical report and independent benchmark results; zero-overlap evaluation methodology strengthens credibility.

7.8
依赖场景

NVIDIA named AfterQuery as sole data partner in Nemotron 3 Ultra report; Terminal-Bench 2.0 improvement from 3.1% to 17.0% with zero eval overlap.

Ease of use

No self-serve tier; all engagement requires direct partnership including on-site work. Contact-form-only access model.

4.0
建议核验

Raine Group engagement required three days on-site; all service requests go through a contact form.

Feature depth

Offers custom datasets, off-the-shelf training data, agent environments, and enterprise consulting. PivotRL methodology adds technical differentiation.

7.0
依赖场景

Custom agent environments, off-the-shelf datasets, PivotRL training technique, and end-to-end implementation services documented.

Workflow fit

Data-first approach aligns with enterprise needs; demonstrated fit for investment banking and frontier AI lab workflows.

8.2
强信号

Raine Group implementation for investment banking precedent search; NVIDIA integration into frontier model training pipeline.

Reliability

Two public case studies show consistent results; emergent exploration behavior suggests reproducible training outcomes.

7.5
依赖场景

Consistent benchmark improvements across GDPval and Terminal-Bench 2.0; reproducible workflow behavior changes documented.

Value

No pricing information available. Enterprise-only engagement model implies premium positioning; value is unverifiable without cost data.

5.0
建议核验

All engagement through direct contact; no published pricing tiers or self-serve options.

评分反映可查证的产品资料，不代表实际使用效果保证。

Agent 就绪度

评估 Agent 能否通过产品的官方信息理解产品，并重建一条有文档依据的工作流程。

Automated agent-readiness assessment of https://afterquery.com/: 5 of 22 checks verified across 3 fetched pages. No substantial machine interface is documented — agents can understand and cite the product but not operate it. Absent: agent_tooling_artifacts, api_reference, authentication, request_examples, response_examples, error_documentation.

就绪度维度

评估维度得分
文档质量50
执行结果可验证性0
机器接口10
项目定位清晰度75
资源可发现性100
工作流完整度25

对 Agent 有帮助的部分

  • docs: verified during this run
  • llms txt: verified during this run
  • sitemap: verified during this run
  • quickstart: verified during this run
  • mcp: verified during this run

Agent 受阻的部分

  • No agent instruction files, code-distribution commands, or named slash-command skills found across fetched pages.
  • No api reference signal matched across 3 fetched pages.
  • No authentication signal matched across 3 fetched pages.
  • No request examples signal matched across 3 fetched pages.
  • No response examples signal matched across 3 fetched pages.
  • No error documentation signal matched across 3 fetched pages.

证据核查

关于该工具的公开声明，每条均标注核验状态与引用来源。

blog/how-we-improved-terminal-bench-2-with-tinker-and-harbor4
www.afterquery.com已验证核验于 2026年7月14日

AfterQuery's Tinker and Harbor post-training pipeline improved openai/gpt-oss-20b from 3.1% to 17.0% on Terminal-Bench 2.0, surpassing Gemini 2.5 Flash without training on the official evaluation set.

AfterQuery fine-tunes on successful terminal-agent trajectories with zero overlap with the Terminal-Bench 2.0 evaluation set.

AfterQuery's fine-tuned models consistently begin tasks by exploring the environment — listing files, reading documentation — rather than writing code from assumptions.

Reward shaping for first-turn exploration produced performative but non-functional behavior; genuine exploratory workflow emerged only after the shaping reward was removed.

https://www.afterquery.com/blog/how-we-improved-terminal-bench-2-with-tinker-and-harbor
blog/how-afterquery-helped-nvidia-hill-climb-gdpval3
www.afterquery.com已验证核验于 2026年8月30日

AfterQuery is the only data partner named in NVIDIA's Nemotron 3 Ultra technical report.

NVIDIA used AfterQuery's Off-The-Shelf Office Agent Training Dataset to improve Nemotron 3 Ultra on GDPval, OpenAI's benchmark spanning 44 occupations and 1,320 real-world professional tasks.

A quick-start / agent-skills documentation page is reachable at https://www.afterquery.com/blog/how-afterquery-helped-nvidia-hill-climb-gdpval.

https://www.afterquery.com/blog/how-afterquery-helped-nvidia-hill-climb-gdpval
blog/solving-the-last-mile-problem-in-partnership-with-the-raine-group3
www.afterquery.com已验证核验于 2026年7月14日

AfterQuery partnered with The Raine Group to build Raine Search, a semantic search tool enabling investment bankers to query the firm's precedent library using natural language.

AfterQuery's enterprise methodology starts with data and workflow understanding rather than deploying agents directly, working outward from a firm's atomic workflows.

AfterQuery operates on the principle that encoding domain-specific excellence requires capturing knowledge that lives inside organizations — past deliverables, internal templates, and reviewer feedback — not just applying generic models.

https://www.afterquery.com/blog/solving-the-last-mile-problem-in-partnership-with-the-raine-group
afterquery.com2
afterquery.com厂商声明核验于 2026年7月14日

AfterQuery's mission is to encode domain-specific expert thinking into training data so AI models can execute real-world professional workflows involving decisions, tradeoffs, and context.

AfterQuery provides custom agent environments across APIs, tools, and services for training and evaluating agents in real workflows.

https://afterquery.com/
Expert Data for Frontier AI1
afterquery.com已验证核验于 2026年8月30日

The entry page was fetched and analyzed for machine-interface signals (title, headings, developer links, keyword probes).

https://www.afterquery.com/
https://www.afterquery.com/llms.txt1
afterquery.com已验证核验于 2026年8月30日

llms.txt is published at the site root and readable.

https://www.afterquery.com/llms.txt
https://www.afterquery.com/sitemap.xml1
afterquery.com已验证核验于 2026年8月30日

sitemap.xml is reachable and lists site pages.

https://www.afterquery.com/sitemap.xml
AfterQuery Experts Help Center - AfterQuery Experts Help Center1
afterquery.com已验证核验于 2026年8月30日

A documentation surface is reachable at https://docs.afterquery.com/.

https://docs.afterquery.com/
contact1
www.afterquery.com厂商声明核验于 2026年7月14日

AfterQuery offers off-the-shelf training datasets alongside custom dataset creation, enterprise AI consulting, and end-to-end implementation services.

https://www.afterquery.com/contact

决策核对台

在依赖该产品或访问官网前，最值得先确认的问题。

AfterQuery encodes domain-expert thinking into training data, teaching AI models how professionals make decisions, navigate tradeoffs, and execute real workflows rather than just answering questions.

NVIDIA is the most prominent public user — they used AfterQuery's Off-The-Shelf Office Agent Training Dataset to improve Nemotron 3 Ultra on GDPval and named AfterQuery as the only data partner in their technical report.

AfterQuery's Tinker and Harbor pipeline improved openai/gpt-oss-20b from 3.1% to 17.0% on Terminal-Bench 2.0, beating Gemini 2.5 Flash, with zero overlap between training and evaluation data.

AfterQuery starts with data and workflows rather than agents — understanding each organization's atomic processes, internal precedents, and expert decision patterns before building training datasets.

AfterQuery operates on a partnership model with direct engagement — including on-site work with domain experts — rather than a self-serve platform. Interested organizations can request custom datasets or browse off-the-shelf options through direct contact.

请在官网核验

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