diff --git a/README.md b/README.md
index c846807..71ddfb1 100644
--- a/README.md
+++ b/README.md
@@ -98,9 +98,10 @@ AUTH_CONFIG_FILE=/private/tmp/tabularium-auth/config.json AUTH_COOKIE_SECURE=fal
 同一版本内容变化会拒绝导入，避免静默读取旧数据。回退代码时继续读取对应旧版本。
 所有修改都经过工作分支和 PR，部署仍等待人工合并主线。
 
-当前资料包含 1,006 条公司/产品记录、10 类业务及待分类组、1,071 条证据记录和 131 条经营观测。
-其中保留 62 家个案资料、928 条目录基础资料，并新增 16 个平台产品/业务样本；目录项不等于完成财务和技术核验。
+当前资料包含 1,013 条公司/产品记录、10 类业务及待分类组、1,078 条证据记录和 145 条经营观测。
+其中保留 69 家个案资料、928 条目录基础资料，并新增 16 个平台产品/业务样本；目录项不等于完成财务和技术核验。
 补充ThinkWheel与中国NaiveAI；MiroMind成立年未核，公开研发年份单列。保留灵初智能成立年排除、深度原理日期待核和Naive近名实体复核记录。
+新增7条Speedrun个案，保留标题/正文冲突、七位数数量级、币种不明、合同管线与履历归属排除记录；相对日期不充当同期收入时点。核查页按证据归属链接公司明细，明细反向列出引用其证据的核查；币种不明的声明保留原值，不绘制美元收入长度条。
 它是定向试样，收入披露不足且统计时点不统一，不代表全部 AI 公司。
 界面将公司自述、第三方估算、融资、客户收入和履历收入分开，未知收入不记为零。
 保留被撤回的声明作为核查记录，并排除收入比较；并购后业务、管理层预测与历史里程碑单列。
diff --git a/apps/docs/scripts/auth-cli.ts b/apps/docs/scripts/auth-cli.ts
index 91e5a03..0e68c31 100644
--- a/apps/docs/scripts/auth-cli.ts
+++ b/apps/docs/scripts/auth-cli.ts
@@ -185,10 +185,10 @@ async function main() {
   assert.equal(researchResponse.status, 200, "authenticated research API");
   assert.ok(researchResponse.headers.get("cache-control")?.includes("no-store"));
   const research = await researchResponse.json();
-  assert.equal(research.companies.length, 1006);
+  assert.equal(research.companies.length, 1013);
   assert.equal(research.categories.length, 11);
-  assert.equal(research.evidence.length, 1071);
-  assert.equal(research.observations.length, 131);
+  assert.equal(research.evidence.length, 1078);
+  assert.equal(research.observations.length, 145);
   assert.equal((await request("/api/research/ai-companies", { method: "POST", headers })).status, 405);
   const researchPage = await request("/docs/other-research/ai-company-research/overview", { headers });
   assert.equal(researchPage.status, 200);
diff --git a/apps/docs/src/components/AICompanyResearch.tsx b/apps/docs/src/components/AICompanyResearch.tsx
index d3031a7..20f40a7 100644
--- a/apps/docs/src/components/AICompanyResearch.tsx
+++ b/apps/docs/src/components/AICompanyResearch.tsx
@@ -73,7 +73,7 @@ export default function AICompanyResearch() {
   const selectedCompany = data.companies.find((c) => c.id === selected);
   const observed = data.observations.filter((o) => ["signal", "estimate"].includes(o.selection));
   const disclosedCompanies = new Set(observed.map((o) => o.company)).size;
-  const revenueCompanies = new Set(data.observations.filter((o) => ["signal", "estimate", "platform"].includes(o.selection)).map((o) => o.company)).size;
+  const revenueCompanies = data.companies.filter((c) => c.revenueStatus !== "unknown").length;
   const selectedObservations = data.observations.filter((o) => o.company === selected);
   const selectedEvidenceIds = new Set([
     ...(selectedCompany?.evidenceIds ?? []), ...(selectedCompany?.pricingEvidence ? [selectedCompany.pricingEvidence] : []),
@@ -81,6 +81,11 @@ export default function AICompanyResearch() {
     ...selectedObservations.map((o) => o.evidence),
   ]);
   const selectedEvidence = data.evidence.filter((e) => e.companyId === selected || selectedEvidenceIds.has(e.id));
+  const evidenceCompanies = new Map(data.evidence.map((e) => [e.id, e.companyId]));
+  const reviewCompanies = (ids: string[]) => data.companies.filter((c) =>
+    ids.some((id) => evidenceCompanies.get(id) === c.id));
+  const selectedReviews = data.reviews.filter((r) => selected &&
+    r.evidenceIds.some((id) => evidenceCompanies.get(id) === selected));
   function chooseCategory(id: string) {
     setCategory(id); setPage(0); setTab("companies");
     companySection.current?.scrollIntoView({ behavior: "smooth", block: "start" });
@@ -90,7 +95,7 @@ export default function AICompanyResearch() {
     <div className="research-stats">
       <div><strong>{data.companies.length}</strong><span>公司/产品记录</span></div>
       <div><strong>{data.categories.length}</strong><span>业务类别</span></div>
-      <div><strong>{revenueCompanies}</strong><span>找到收入信号的公司</span></div>
+      <div><strong>{revenueCompanies}</strong><span>有收入线索的记录</span></div>
       <div><strong>{data.evidence.length}</strong><span>证据记录</span></div>
     </div>
     <div className="research-scope"><p>{data.scope}</p>
@@ -138,23 +143,24 @@ export default function AICompanyResearch() {
       {tab === "revenue" && <>
         <IncomeDistribution data={data} onSelect={setSelected} />
         <h3>公司披露与估算的历史里程碑</h3>
-        <p className="research-notice">这一组包含 {disclosedCompanies} 家公司的披露或估算信号，多为异时点历史里程碑，ARR 与年化收入口径仍待核对，暂不计算其同期领域均值。上面的平台MRR统计与这一组分开。</p>
+        <p className="research-notice">这一组包含 {disclosedCompanies} 家公司的披露或估算信号，多为异时点历史里程碑，ARR 与年化收入口径仍待核对，暂不计算其同期领域均值。币种未确认的记录仅显示原值，不绘制美元长度条。上面的平台MRR统计与这一组分开。</p>
         <div className="research-revenue-chart" aria-label="不同时间的公开收入里程碑，线性长度，非同行排名">{observed.map((o) => <div key={o.id}>
           <div><button onClick={() => setSelected(o.company)}>{o.name}</button><strong>{o.bound !== "=" && o.bound}{money(o.value, o.unit)}</strong></div>
-          <span className="research-bar" data-estimate={o.selection === "estimate" || undefined} aria-hidden="true"><i style={{width: `${o.value / Math.max(...observed.map((v) => v.value)) * 100}%`}} /></span>
+          {o.unit === "USD" && <span className="research-bar" data-estimate={o.selection === "estimate" || undefined} aria-hidden="true"><i style={{width: `${o.value / Math.max(1, ...observed.filter((v) => v.unit === "USD").map((v) => v.value)) * 100}%`}} /></span>}
           <small>{o.kind} · {useLabels[o.selection]} · {o.timing}</small>
         </div>)}</div>
         <div className="research-table-wrap"><table><caption>当前研究数据中的收入可得性，目录项未逐一检索；未建立同期、同龄、同口径比较组</caption><thead><tr><th>业务分类</th><th>公司披露数</th><th>仅估算数</th><th>仅平台数</th><th>暂无可用数字</th><th>同期均值 / 离散度</th></tr></thead><tbody>{summaries.map((c) => <tr key={c.id}><td><button onClick={() => chooseCategory(c.id)}>{c.name}</button></td><td>{c.self}</td><td>{c.estimate}</td><td>{c.platform}</td><td>{c.unknown}</td><td>条件不足</td></tr>)}</tbody></table></div>
         <p className="research-muted">离散度用于筛选值得核查的异常，还需排除公司年龄、口径和披露偏差；不能据此认定财务造假。</p>
       </>}
       {tab === "sources" && <><p className="research-muted">来源链接保留原始位置。相同 URL 的记录可能属于同一披露，不能按记录数计算独立证据数量。</p><ul className="research-evidence-list">{data.evidence.slice(sourcePage * evidencePageSize, (sourcePage + 1) * evidencePageSize).map((e) => <Evidence key={e.id} item={e} />)}</ul>{data.evidence.length > evidencePageSize && <nav className="research-pagination" aria-label="原始证据分页"><button disabled={sourcePage === 0} onClick={() => setSourcePage((n) => n - 1)}>上一页</button><span>{sourcePage + 1} / {Math.ceil(data.evidence.length / evidencePageSize)}</span><button disabled={(sourcePage + 1) * evidencePageSize >= data.evidence.length} onClick={() => setSourcePage((n) => n + 1)}>下一页</button></nav>}</>}
-      {tab === "reviews" && <ul className="research-review-list">{data.reviews.map((r) => <li key={r.id}><span className="research-tag">{r.type}</span><h3>{r.company}</h3><p>{r.summary}</p><p>{r.handling}</p><div>{r.evidenceIds.map((id) => { const e=data.evidence.find((item) => item.id === id); return e ? <External key={id} url={e.url}>{id}</External> : null; })}</div></li>)}</ul>}
+      {tab === "reviews" && <ul className="research-review-list">{data.reviews.map((r) => <li key={r.id}><span className="research-tag">{r.type}</span><h3>{r.company}</h3><p>{r.summary}</p><p>{r.handling}</p><div>{reviewCompanies(r.evidenceIds).map((c) => <button key={c.id} className="research-company-name" onClick={() => setSelected(c.id)}>查看 {c.name} 明细</button>)}</div><div>{r.evidenceIds.map((id) => { const e=data.evidence.find((item) => item.id === id); return e ? <External key={id} url={e.url}>{id}</External> : null; })}</div></li>)}</ul>}
     </section>
     {selectedCompany && <section id="research-company-detail" ref={detailSection} tabIndex={-1} className="research-detail research-section" aria-label={`${selectedCompany.name}资料明细`}>
       <div className="research-detail-heading"><h2>{selectedCompany.name}</h2><button onClick={() => setSelected(null)} aria-label="关闭公司明细">关闭</button></div>
       <p><External url={selectedCompany.url}>资料入口</External>　{selectedCompany.extraUrl && <External url={selectedCompany.extraUrl}>额外核验入口</External>}</p>
       <dl className="research-company-facts"><div><dt>主营业务</dt><dd>{selectedCompany.business}</dd></div><div><dt>样本组别</dt><dd>{selectedCompany.cohort}</dd></div><div><dt>买家</dt><dd>{selectedCompany.buyer}</dd></div><div><dt>收费/交付模式</dt><dd>{selectedCompany.businessModel ?? "待进一步核验"}</dd></div><div><dt>收费方式</dt><dd>{selectedCompany.price}</dd></div><div><dt>交付证据</dt><dd>{selectedCompany.delivery}</dd></div><div><dt>团队口径</dt><dd>{selectedCompany.teamBasis ?? "本轮未核验人数"}</dd></div><div><dt>分类依据</dt><dd>{selectedCompany.classificationBasis ?? "原有个案分类；随研究复核"}</dd></div><div><dt>技术验证证据</dt><dd>{technicalReviewLabels[selectedCompany.technicalReview?.level ?? "unreviewed"]}<p>{selectedCompany.technicalReview?.summary ?? "本轮未形成专项技术评审记录；不表示公司没有技术能力。"}</p>{selectedCompany.technicalReview && <small>评审日期：{selectedCompany.technicalReview.reviewedAt}</small>}{selectedCompany.technicalReview?.testScope && <p>测试范围：{selectedCompany.technicalReview.testScope}</p>}<p>材料可访问仅确认可查看，不证明性能、可靠性或商业交付质量；不同任务不作统一能力排名。</p></dd></div><div><dt>观测主体</dt><dd>{selectedCompany.entityBasis ?? "公司或经营品牌，法律主体未逐一核验"}</dd></div><div><dt>身份与限制</dt><dd>{selectedCompany.notes}</dd></div></dl>
       <h3>经营指标与排除记录</h3>
+      {!!selectedReviews.length && <details><summary>引用该公司证据的核查记录（{selectedReviews.length}）</summary><ul>{selectedReviews.map((r) => <li key={r.id}><strong>{r.type}：{r.summary}</strong><p>{r.handling}</p><div>{r.evidenceIds.map((id) => { const item = data.evidence.find((e) => e.id === id); return item ? <External key={id} url={item.url}>{id}</External> : null; })}</div></li>)}</ul></details>}
       {selectedObservations.length ? <div className="research-table-wrap"><table><thead><tr><th>指标 / 归属</th><th>原始数值</th><th>数据时点</th><th>用途及限制</th><th>证据</th></tr></thead><tbody>{selectedObservations.map((o) => <tr key={o.id}><td>{o.kind}<small>{o.scope}</small></td><td>{o.bound !== "=" && o.bound}{money(o.value,o.unit)}</td><td>{o.timing}</td><td>{useLabels[o.selection] ?? o.selection}<small>{o.reason}</small></td><td><a href={`#detail-evidence-${o.evidence}`}>{o.evidence}</a></td></tr>)}</tbody></table></div> : <p>本轮尚未找到可记录的量化经营指标。收入保持未知。</p>}
       <h3>原始证据</h3><ul className="research-evidence-list">{selectedEvidence.map((e) => <Evidence key={e.id} prefix="detail-evidence" item={e} />)}</ul>
     </section>}
diff --git a/apps/docs/tests/research.test.ts b/apps/docs/tests/research.test.ts
index e125e47..a16cdee 100644
--- a/apps/docs/tests/research.test.ts
+++ b/apps/docs/tests/research.test.ts
@@ -23,9 +23,9 @@ test("research revisions share the authentication database and preserve replay l
     for (let i = 0; i < 20; i++) consumeCode(config, "invalid");
     assert.equal(consumeCode(config, "invalid"), "limited");
     const initial = readResearchSnapshot();
-    assert.equal(initial.companies.length, 1006);
-    assert.equal(initial.evidence.length, 1071);
-    assert.equal(initial.observations.length, 131);
+    assert.equal(initial.companies.length, 1013);
+    assert.equal(initial.evidence.length, 1078);
+    assert.equal(initial.observations.length, 145);
     assert.deepEqual(readResearchSnapshot(), initial, "reopening does not duplicate records");
     const db = openSiteDatabase();
     const tables = db.prepare("SELECT name FROM sqlite_master WHERE type='table'").all() as { name: string }[];
@@ -63,8 +63,8 @@ test("research validation rejects broken evidence and unsafe source links", () =
 test("disclosure counts exclude client income, biographies, targets and duplicate milestones", () => {
   const snapshot = seed as ResearchSnapshot;
   const summary = categorySummary(snapshot);
-  assert.equal(summary.reduce((n, c) => n + c.count, 0), 1006);
-  assert.equal(summary.reduce((n, c) => n + c.self, 0), 9);
+  assert.equal(summary.reduce((n, c) => n + c.count, 0), 1013);
+  assert.equal(summary.reduce((n, c) => n + c.self, 0), 16);
   assert.equal(summary.reduce((n, c) => n + c.estimate, 0), 1);
   assert.equal(summary.reduce((n, c) => n + c.platform, 0), 16);
   assert.equal(summary.reduce((n, c) => n + c.unknown, 0), 980);
@@ -93,6 +93,19 @@ test("technical reviews keep accessible materials separate from tested capabilit
     "an accessible artifact cannot become a test record without a stated test scope");
 });
 
+test("ambiguous ARR claims retain currency, precision and attribution limits", () => {
+  const snapshot = seed as ResearchSnapshot;
+  const variant = snapshot.observations.filter((o) => o.company === "AI066");
+  assert.deepEqual(variant.filter((o) => o.selection === "crosscheck").map((o) => o.value).sort(), [500000, 600000]);
+  assert.equal(variant.filter((o) => o.selection === "signal").length, 0);
+  assert.ok(variant.filter((o) => [2500000, 40000000].includes(o.value)).every((o) => o.selection === "excluded"));
+  const codos = snapshot.observations.find((o) => o.id === "SR-O-AI065-arr")!;
+  assert.equal(codos.bound, "≥");
+  assert.equal(codos.unit, "币种未注明");
+  assert.equal(codos.comparisonGroup, null);
+  assert.ok(snapshot.observations.filter((o) => o.id.startsWith("SR-O-")).every((o) => o.comparisonGroup === null && o.unit !== "USD"));
+});
+
 // Retractions and forecasts must stay visible for review without becoming revenue signals.
 test("retracted ARR and projected margins remain excluded", () => {
   const snapshot = seed as ResearchSnapshot;
diff --git a/content/research/ai-companies.seed.json b/content/research/ai-companies.seed.json
index e492fc1..58472d9 100644
--- a/content/research/ai-companies.seed.json
+++ b/content/research/ai-companies.seed.json
@@ -1,5 +1,5 @@
 {
-  "version": "2026-10-30-dates-1",
+  "version": "2026-10-30-speedrun-1",
   "asOf": "2026-10-30",
   "scope": "全球公开资料研究：保留首批个案，并扩展核查2025—2026八个YC批次候选池；成立年份以官方公司页面字段为依据。",
   "limitations": [
@@ -28320,6 +28320,174 @@
           "TECH-MIRO-CODE"
         ]
       }
+    },
+    {
+      "id": "AI063",
+      "name": "Proper Motion",
+      "url": "https://speedrun.a16z.com/companies/proper-motion",
+      "cat": "C03",
+      "year": 2025,
+      "team": 3,
+      "location": "San Francisco, California",
+      "business": "将运行交互转为学习信号的持续学习Agent基础设施",
+      "buyer": "Agent开发企业",
+      "delivery": "投资机构公开资料中的经营声明；未测试实际产品或查阅合同",
+      "notes": "私测三周ARR超过27万（原文$）；另有200万管线，非收入；原文仅给$符号或七位数，不将币种和时点补成已验证信息。",
+      "cohort": "2025年成立（投资机构名录）",
+      "teamBasis": "Speedrun Employees字段；2026-10-30访问，业务截至日未知",
+      "price": "本轮未核验实际收费套餐",
+      "stage": "存在自述收入声明；商业交付与留存未独立核验",
+      "sourceType": "a16z Speedrun投资机构资料中的公司自述",
+      "evidenceIds": [
+        "SR-E-proper-motion"
+      ],
+      "revenueStatus": "self",
+      "classificationBasis": "按官方名录主营业务人工归类；行业标签不等于技术能力验证。",
+      "businessModel": "收费与交付结构待进一步核验"
+    },
+    {
+      "id": "AI064",
+      "name": "Cluster",
+      "url": "https://speedrun.a16z.com/companies/cluster",
+      "cat": "C06",
+      "year": 2026,
+      "team": 3,
+      "location": "New York, New York",
+      "business": "以MCP整合GTM工具供Agent执行客户增长任务",
+      "buyer": "AI原生企业及GTM团队",
+      "delivery": "投资机构公开资料中的经营声明；未测试实际产品或查阅合同",
+      "notes": "前11周ARR超过26万（原文$）；客户销售管线成果非本公司收入；原文仅给$符号或七位数，不将币种和时点补成已验证信息。",
+      "cohort": "2026年成立（投资机构名录）",
+      "teamBasis": "Speedrun Employees字段；2026-10-30访问，业务截至日未知",
+      "price": "本轮未核验实际收费套餐",
+      "stage": "存在自述收入声明；商业交付与留存未独立核验",
+      "sourceType": "a16z Speedrun投资机构资料中的公司自述",
+      "evidenceIds": [
+        "SR-E-cluster"
+      ],
+      "revenueStatus": "self",
+      "classificationBasis": "按官方名录主营业务人工归类；行业标签不等于技术能力验证。",
+      "businessModel": "收费与交付结构待进一步核验"
+    },
+    {
+      "id": "AI065",
+      "name": "Codos",
+      "url": "https://speedrun.a16z.com/companies/codos",
+      "cat": "C05",
+      "year": 2026,
+      "team": 5,
+      "location": "San Francisco, California",
+      "business": "结合实施与Agent平台自动化企业运营",
+      "buyer": "上市及私募控股企业",
+      "delivery": "投资机构公开资料中的经营声明；未测试实际产品或查阅合同",
+      "notes": "仅称七位数live ARR；1000万以上客户经营影响非本公司收入；原文仅给$符号或七位数，不将币种和时点补成已验证信息。",
+      "cohort": "2026年成立（投资机构名录）",
+      "teamBasis": "Speedrun Employees字段；2026-10-30访问，业务截至日未知",
+      "price": "本轮未核验实际收费套餐",
+      "stage": "存在自述收入声明；商业交付与留存未独立核验",
+      "sourceType": "a16z Speedrun投资机构资料中的公司自述",
+      "evidenceIds": [
+        "SR-E-codos"
+      ],
+      "revenueStatus": "self",
+      "classificationBasis": "按官方名录主营业务人工归类；行业标签不等于技术能力验证。",
+      "businessModel": "收费与交付结构待进一步核验"
+    },
+    {
+      "id": "AI066",
+      "name": "Variant",
+      "url": "https://speedrun.a16z.com/companies/variant-now",
+      "cat": "C06",
+      "year": 2025,
+      "team": 6,
+      "location": "Tel Aviv-Yafo, Israel",
+      "business": "实时调整网站内容与体验，面向转化和品牌增长",
+      "buyer": "品牌与电商运营团队",
+      "delivery": "投资机构公开资料中的经营声明；未测试实际产品或查阅合同",
+      "notes": "标题60万ARR，正文50万ARR；未标各自时点，不能认定哪个更新；原文仅给$符号或七位数，不将币种和时点补成已验证信息。",
+      "cohort": "2025年成立（投资机构名录）",
+      "teamBasis": "Speedrun Employees字段；2026-10-30访问，业务截至日未知",
+      "price": "本轮未核验实际收费套餐",
+      "stage": "存在自述收入声明；商业交付与留存未独立核验",
+      "sourceType": "a16z Speedrun投资机构资料中的公司自述",
+      "evidenceIds": [
+        "SR-E-variant-now"
+      ],
+      "revenueStatus": "self",
+      "classificationBasis": "按官方名录主营业务人工归类；行业标签不等于技术能力验证。",
+      "businessModel": "收费与交付结构待进一步核验"
+    },
+    {
+      "id": "AI067",
+      "name": "Abliteration.ai",
+      "url": "https://speedrun.a16z.com/companies/abliteration",
+      "cat": "C01",
+      "year": 2026,
+      "team": 2,
+      "location": "Palo Alto, California",
+      "business": "面向安全测试等场景提供模型访问服务",
+      "buyer": "安全专业人员与Agent测试团队",
+      "delivery": "投资机构公开资料中的经营声明；未测试实际产品或查阅合同",
+      "notes": "标题称700万ARR，正文称超过700万run rate，定义待核；原文仅给$符号或七位数，不将币种和时点补成已验证信息。",
+      "cohort": "2026年成立（投资机构名录）",
+      "teamBasis": "Speedrun Employees字段；2026-10-30访问，业务截至日未知",
+      "price": "本轮未核验实际收费套餐",
+      "stage": "存在自述收入声明；商业交付与留存未独立核验",
+      "sourceType": "a16z Speedrun投资机构资料中的公司自述",
+      "evidenceIds": [
+        "SR-E-abliteration"
+      ],
+      "revenueStatus": "self",
+      "classificationBasis": "按官方名录主营业务人工归类；行业标签不等于技术能力验证。",
+      "businessModel": "收费与交付结构待进一步核验"
+    },
+    {
+      "id": "AI068",
+      "name": "Quinn",
+      "url": "https://speedrun.a16z.com/companies/quinn",
+      "cat": "C05",
+      "year": 2025,
+      "team": 10,
+      "location": "New York, New York",
+      "business": "面向一线员工的AI培训平台",
+      "buyer": "企业培训与人力资源团队",
+      "delivery": "投资机构公开资料中的经营声明；未测试实际产品或查阅合同",
+      "notes": "约五个月从20万至110万以上ARR；65家以上客户不自动等于付费客户；原文仅给$符号或七位数，不将币种和时点补成已验证信息。",
+      "cohort": "2025年成立（投资机构名录）",
+      "teamBasis": "Speedrun Employees字段；2026-10-30访问，业务截至日未知",
+      "price": "本轮未核验实际收费套餐",
+      "stage": "存在自述收入声明；商业交付与留存未独立核验",
+      "sourceType": "a16z Speedrun投资机构资料中的公司自述",
+      "evidenceIds": [
+        "SR-E-quinn"
+      ],
+      "revenueStatus": "self",
+      "classificationBasis": "按官方名录主营业务人工归类；行业标签不等于技术能力验证。",
+      "businessModel": "收费与交付结构待进一步核验"
+    },
+    {
+      "id": "AI069",
+      "name": "Infragrid",
+      "url": "https://speedrun.a16z.com/companies/infragrid",
+      "cat": "C05",
+      "year": 2026,
+      "team": 2,
+      "location": "San Francisco, California",
+      "business": "观察跨应用工作并通过记忆推荐自动化流程",
+      "buyer": "企业及知识工作团队",
+      "delivery": "投资机构公开资料中的经营声明；未测试实际产品或查阅合同",
+      "notes": "自述两周ARR30.2万（原文$），节时比例未经独立测试；原文仅给$符号或七位数，不将币种和时点补成已验证信息。",
+      "cohort": "2026年成立（投资机构名录）",
+      "teamBasis": "Speedrun Employees字段；2026-10-30访问，业务截至日未知",
+      "price": "本轮未核验实际收费套餐",
+      "stage": "存在自述收入声明；商业交付与留存未独立核验",
+      "sourceType": "a16z Speedrun投资机构资料中的公司自述",
+      "evidenceIds": [
+        "SR-E-infragrid"
+      ],
+      "revenueStatus": "self",
+      "classificationBasis": "按官方名录主营业务人工归类；行业标签不等于技术能力验证。",
+      "businessModel": "收费与交付结构待进一步核验"
     }
   ],
   "observations": [
@@ -30509,6 +30677,216 @@
       "reason": "并非明确付费客户，不能直接作ARPA分母或反推ARR",
       "bound": ">",
       "comparisonGroup": null
+    },
+    {
+      "id": "SR-O-AI063-arr",
+      "company": "AI063",
+      "name": "Proper Motion",
+      "kind": "原文称ARR",
+      "value": 270000,
+      "unit": "原文$，币种待核",
+      "timing": "私测三周后；日历时点未知",
+      "evidence": "SR-E-proper-motion",
+      "scope": "公司整体",
+      "selection": "signal",
+      "reason": "私测三周里程碑，币种与日期未核；不是当前统一时点值",
+      "bound": ">",
+      "comparisonGroup": null
+    },
+    {
+      "id": "SR-O-AI063-pipeline",
+      "company": "AI063",
+      "name": "Proper Motion",
+      "kind": "合同管线",
+      "value": 2000000,
+      "unit": "原文$，币种待核",
+      "timing": "仅相对时长，日历时点未注明",
+      "evidence": "SR-E-proper-motion",
+      "scope": "非同期比较记录",
+      "selection": "excluded",
+      "reason": "Pipeline不是已经实现的收入或ARR",
+      "bound": "=",
+      "comparisonGroup": null
+    },
+    {
+      "id": "SR-O-AI064-arr",
+      "company": "AI064",
+      "name": "Cluster",
+      "kind": "原文称ARR",
+      "value": 260000,
+      "unit": "原文$，币种待核",
+      "timing": "推出后11周；日历时点未知",
+      "evidence": "SR-E-cluster",
+      "scope": "公司整体",
+      "selection": "signal",
+      "reason": "前11周里程碑，日期及币种未核",
+      "bound": ">",
+      "comparisonGroup": null
+    },
+    {
+      "id": "SR-O-AI065-arr",
+      "company": "AI065",
+      "name": "Codos",
+      "kind": "七位数live ARR下界",
+      "value": 1000000,
+      "unit": "币种未注明",
+      "timing": "仅相对时长，日历时点未注明",
+      "evidence": "SR-E-codos",
+      "scope": "公司整体",
+      "selection": "signal",
+      "reason": "仅表示原文七位数的数量级下界，非精确100万；上界小于1000万，币种与合同口径未知",
+      "bound": "≥",
+      "comparisonGroup": null
+    },
+    {
+      "id": "SR-O-AI065-impact",
+      "company": "AI065",
+      "name": "Codos",
+      "kind": "客户经营影响",
+      "value": 10000000,
+      "unit": "原文$，币种待核",
+      "timing": "仅相对时长，日历时点未注明",
+      "evidence": "SR-E-codos",
+      "scope": "非同期比较记录",
+      "selection": "excluded",
+      "reason": "客户影响金额不是本公司收入",
+      "bound": ">",
+      "comparisonGroup": null
+    },
+    {
+      "id": "SR-O-AI066-headline",
+      "company": "AI066",
+      "name": "Variant",
+      "kind": "标题称ARR",
+      "value": 600000,
+      "unit": "原文$，币种待核",
+      "timing": "仅相对时长，日历时点未注明",
+      "evidence": "SR-E-variant-now",
+      "scope": "公司整体",
+      "selection": "crosscheck",
+      "reason": "与同页正文50万冲突，日期排序未知；保留两值，均不选为代表收入",
+      "bound": "=",
+      "comparisonGroup": null
+    },
+    {
+      "id": "SR-O-AI066-body",
+      "company": "AI066",
+      "name": "Variant",
+      "kind": "正文称ARR",
+      "value": 500000,
+      "unit": "原文$，币种待核",
+      "timing": "仅相对时长，日历时点未注明",
+      "evidence": "SR-E-variant-now",
+      "scope": "公司整体",
+      "selection": "crosscheck",
+      "reason": "与同页标题60万冲突，不能通过取最大值自动选最新",
+      "bound": "=",
+      "comparisonGroup": null
+    },
+    {
+      "id": "SR-O-AI066-pipeline",
+      "company": "AI066",
+      "name": "Variant",
+      "kind": "合同管线",
+      "value": 2500000,
+      "unit": "原文$，币种待核",
+      "timing": "仅相对时长，日历时点未注明",
+      "evidence": "SR-E-variant-now",
+      "scope": "非同期比较记录",
+      "selection": "excluded",
+      "reason": "潜在合同不是已实现ARR",
+      "bound": "=",
+      "comparisonGroup": null
+    },
+    {
+      "id": "SR-O-AI066-biography",
+      "company": "AI066",
+      "name": "Variant",
+      "kind": "创始人此前公司ARR",
+      "value": 40000000,
+      "unit": "原文$，币种待核",
+      "timing": "仅相对时长，日历时点未注明",
+      "evidence": "SR-E-variant-now",
+      "scope": "非同期比较记录",
+      "selection": "excluded",
+      "reason": "属于Workiz创始人履历，不归Variant",
+      "bound": "=",
+      "comparisonGroup": null
+    },
+    {
+      "id": "SR-O-AI067-runrate",
+      "company": "AI067",
+      "name": "Abliteration.ai",
+      "kind": "正文称run rate（标题称ARR）",
+      "value": 7000000,
+      "unit": "原文$，币种待核",
+      "timing": "仅相对时长，日历时点未注明",
+      "evidence": "SR-E-abliteration",
+      "scope": "公司整体",
+      "selection": "signal",
+      "reason": "金额相近但经常性定义不明确，排除同期ARR比较",
+      "bound": ">",
+      "comparisonGroup": null
+    },
+    {
+      "id": "SR-O-AI068-arr",
+      "company": "AI068",
+      "name": "Quinn",
+      "kind": "原文称ARR",
+      "value": 1100000,
+      "unit": "原文$，币种待核",
+      "timing": "约五个月内的末端里程碑；日历时点未知",
+      "evidence": "SR-E-quinn",
+      "scope": "公司整体",
+      "selection": "signal",
+      "reason": "约五个月后的历史披露下界，币种与日期未核",
+      "bound": ">",
+      "comparisonGroup": null
+    },
+    {
+      "id": "SR-O-AI068-early",
+      "company": "AI068",
+      "name": "Quinn",
+      "kind": "较早ARR",
+      "value": 200000,
+      "unit": "原文$，币种待核",
+      "timing": "仅相对时长，日历时点未注明",
+      "evidence": "SR-E-quinn",
+      "scope": "公司整体",
+      "selection": "historical",
+      "reason": "同一公司较早阶段，不作第二家公司或第二笔收入",
+      "bound": "=",
+      "comparisonGroup": null
+    },
+    {
+      "id": "SR-O-AI068-customers",
+      "company": "AI068",
+      "name": "Quinn",
+      "kind": "客户数",
+      "value": 65,
+      "unit": "家",
+      "timing": "仅相对时长，日历时点未注明",
+      "evidence": "SR-E-quinn",
+      "scope": "非同期比较记录",
+      "selection": "adoption",
+      "reason": "非明确付费客户数，不直接作ARPA分母",
+      "bound": ">",
+      "comparisonGroup": null
+    },
+    {
+      "id": "SR-O-AI069-arr",
+      "company": "AI069",
+      "name": "Infragrid",
+      "kind": "原文称ARR",
+      "value": 302000,
+      "unit": "原文$，币种待核",
+      "timing": "两周后；日历时点未知",
+      "evidence": "SR-E-infragrid",
+      "scope": "公司整体",
+      "selection": "signal",
+      "reason": "两周里程碑；日期、币种和经常性定义未核",
+      "bound": "=",
+      "comparisonGroup": null
     }
   ],
   "evidence": [
@@ -42292,6 +42670,83 @@
       "kind": "公司新闻稿",
       "summary": "公司称超过3500家公司使用平台，发布Peec Agent与Actions，包含计划额度及额外月度credits。",
       "limitation": "未说明所有采用公司均为付费；本文未提供新ARR，不能把5月ARR平移到10月；产品效果未独立测试。"
+    },
+    {
+      "id": "SR-E-proper-motion",
+      "companyId": "AI063",
+      "title": "Proper Motion · Speedrun公司资料",
+      "url": "https://speedrun.a16z.com/companies/proper-motion",
+      "publishedAt": null,
+      "accessedAt": "2026-10-30",
+      "kind": "投资机构资料中的公司自述",
+      "summary": "成立年2025、员工3人；私测三周ARR超过27万（原文$）；另有200万管线，非收入。",
+      "limitation": "投资方有利益关系，非独立财务核验；精确收入截止日、币种与经常性定义不完整；管线、客户成果及创始人前公司经历不得作为本公司收入。"
+    },
+    {
+      "id": "SR-E-cluster",
+      "companyId": "AI064",
+      "title": "Cluster · Speedrun公司资料",
+      "url": "https://speedrun.a16z.com/companies/cluster",
+      "publishedAt": null,
+      "accessedAt": "2026-10-30",
+      "kind": "投资机构资料中的公司自述",
+      "summary": "成立年2026、员工3人；前11周ARR超过26万（原文$）；客户销售管线成果非本公司收入。",
+      "limitation": "投资方有利益关系，非独立财务核验；精确收入截止日、币种与经常性定义不完整；管线、客户成果及创始人前公司经历不得作为本公司收入。"
+    },
+    {
+      "id": "SR-E-codos",
+      "companyId": "AI065",
+      "title": "Codos · Speedrun公司资料",
+      "url": "https://speedrun.a16z.com/companies/codos",
+      "publishedAt": null,
+      "accessedAt": "2026-10-30",
+      "kind": "投资机构资料中的公司自述",
+      "summary": "成立年2026、员工5人；仅称七位数live ARR；1000万以上客户经营影响非本公司收入。",
+      "limitation": "投资方有利益关系，非独立财务核验；精确收入截止日、币种与经常性定义不完整；管线、客户成果及创始人前公司经历不得作为本公司收入。"
+    },
+    {
+      "id": "SR-E-variant-now",
+      "companyId": "AI066",
+      "title": "Variant · Speedrun公司资料",
+      "url": "https://speedrun.a16z.com/companies/variant-now",
+      "publishedAt": null,
+      "accessedAt": "2026-10-30",
+      "kind": "投资机构资料中的公司自述",
+      "summary": "成立年2025、员工6人；标题60万ARR，正文50万ARR；未标各自时点，不能认定哪个更新。",
+      "limitation": "投资方有利益关系，非独立财务核验；精确收入截止日、币种与经常性定义不完整；管线、客户成果及创始人前公司经历不得作为本公司收入。"
+    },
+    {
+      "id": "SR-E-abliteration",
+      "companyId": "AI067",
+      "title": "Abliteration.ai · Speedrun公司资料",
+      "url": "https://speedrun.a16z.com/companies/abliteration",
+      "publishedAt": null,
+      "accessedAt": "2026-10-30",
+      "kind": "投资机构资料中的公司自述",
+      "summary": "成立年2026、员工2人；标题称700万ARR，正文称超过700万run rate，定义待核。",
+      "limitation": "投资方有利益关系，非独立财务核验；精确收入截止日、币种与经常性定义不完整；管线、客户成果及创始人前公司经历不得作为本公司收入。"
+    },
+    {
+      "id": "SR-E-quinn",
+      "companyId": "AI068",
+      "title": "Quinn · Speedrun公司资料",
+      "url": "https://speedrun.a16z.com/companies/quinn",
+      "publishedAt": null,
+      "accessedAt": "2026-10-30",
+      "kind": "投资机构资料中的公司自述",
+      "summary": "成立年2025、员工10人；约五个月从20万至110万以上ARR；65家以上客户不自动等于付费客户。",
+      "limitation": "投资方有利益关系，非独立财务核验；精确收入截止日、币种与经常性定义不完整；管线、客户成果及创始人前公司经历不得作为本公司收入。"
+    },
+    {
+      "id": "SR-E-infragrid",
+      "companyId": "AI069",
+      "title": "Infragrid · Speedrun公司资料",
+      "url": "https://speedrun.a16z.com/companies/infragrid",
+      "publishedAt": null,
+      "accessedAt": "2026-10-30",
+      "kind": "投资机构资料中的公司自述",
+      "summary": "成立年2026、员工2人；自述两周ARR30.2万（原文$），节时比例未经独立测试。",
+      "limitation": "投资方有利益关系，非独立财务核验；精确收入截止日、币种与经常性定义不完整；管线、客户成果及创始人前公司经历不得作为本公司收入。"
     }
   ],
   "reviews": [
@@ -42650,6 +43105,40 @@
         "E105"
       ],
       "handling": "收入、人数与采用规模按各自时点保存；Wonderful现主营归C05，不把异时点人数与估算收入相除形成精确人效。"
+    },
+    {
+      "id": "SR-R-VARIANT",
+      "type": "同页数字与归属",
+      "company": "Variant",
+      "summary": "同页标题60万ARR、正文50万ARR，均缺独立截止日；另列管线和创始人此前公司收入。",
+      "evidenceIds": [
+        "SR-E-variant-now"
+      ],
+      "handling": "两种ARR数值均作待核交叉记录，不自动取高值；管线与履历金额排除收入比较。"
+    },
+    {
+      "id": "SR-R-DEFINITION",
+      "type": "收入精度与定义",
+      "company": "Abliteration.ai / Codos",
+      "summary": "前者混用ARR与run rate，后者仅给七位数live ARR且未说明币种。",
+      "evidenceIds": [
+        "SR-E-abliteration",
+        "SR-E-codos"
+      ],
+      "handling": "保留原词、上下界和币种缺项，不把数量级当作精确值，不用于同期领域均值。"
+    },
+    {
+      "id": "SR-R-PIPELINE",
+      "type": "时点与合同管线",
+      "company": "Proper Motion / Cluster / Quinn / Infragrid",
+      "summary": "收入时点只有相对周数或月数，客户数和管线不等于经常性收入。",
+      "evidenceIds": [
+        "SR-E-proper-motion",
+        "SR-E-cluster",
+        "SR-E-quinn",
+        "SR-E-infragrid"
+      ],
+      "handling": "建立公司与历史经营信号，但不以访问日充当收入时点；同一公司历史阶段不重复计入横截面。"
     }
   ],
   "coverage": {
diff --git a/content/research/ai-income-analysis.json b/content/research/ai-income-analysis.json
index 8406be4..a34d6e3 100644
--- a/content/research/ai-income-analysis.json
+++ b/content/research/ai-income-analysis.json
@@ -1,5 +1,5 @@
 {
-  "sourceVersion": "2026-10-30-dates-1",
+  "sourceVersion": "2026-10-30-speedrun-1",
   "asOf": "2026-10-30",
   "metric": "platform-mrr-usd",
   "sampleUnit": "product-or-business",