{"slug":"ai-adapt-ankm-20261106","entry":{"slug":"ai-adapt-ankm-20261106","title":"AI Adaptation Research Report — ANKM (Ankam, Inc.) · BlackSwan constituent","symbol":"ANKM","kind":"ai_adaptation","name":"Ankam, Inc.","book":"AMF-BLACKSWAN","direction":"short","verdict":"blackswan","run_date":"2026-11-06","narrative":"model","level":0,"aas":9.4,"date":"2026-11-06","generated_at":"2026-11-06T04:50:00+00:00","description":"ANKM is placed in the BlackSwan short book because its anchor filing contains no detectable discussion of artificial intelligence, giving it an AI adoption level of \"absent\".","algorithm_release":"1.1.0","rank":2,"composite":30.132,"story_score":50.05,"market":51.72,"weight":0.121043,"pinned":false},"url":"/marr/ai-adapt-ankm-20261106","markdown":"# AI Adaptation Research Report — ANKM (Ankam, Inc.) · BlackSwan constituent\n\n*EventTrader research desk · generated 2026-11-06 04:50 UTC · report ai-adapt-ankm-20261106 · narrative: AI analyst, checked against the evidence pack*\n\n| | |\n|---|---|\n| **Company** | ANKM — Ankam, Inc. · SIC 7371 Services-Computer Programming Services |\n| **Book** | AMF-BLACKSWAN (short) — BlackSwan |\n| **Composition algorithm** | Swan Composite v1.1.0 — 50% AI Adaptation Score + 25% AI Story Score + 25% market verdict, conviction-weighted |\n| **Anchor filing** | 10-Q filed 2026-10-14 (period 2026-08-31) |\n| **Adoption level** | 0 — absent · deterministic |\n| **AI Adaptation Score** | 9.4 / 100 · run 2026-11-06 · sector software percentile 1.0 |\n| **Price** | 6 USD · stale quote |\n| **Place in the book** | rank 2 of 10 · composite 30.1 · story 50.0 · market verdict 51.7 · weight 12.1% |\n\n## 1. Verdict\n\n- ANKM is placed in the BlackSwan short book because its anchor filing contains no detectable discussion of artificial intelligence, giving it an AI adoption level of \"absent\" [S5].\n- The anchor filing is Ankam, Inc.'s Form 10-Q filed 2026-10-14 for the period ending 2026-08-31, accession 0001683168-26-007830 [S1][S2].\n- The measured adoption level is 0, named \"absent,\" with no model read performed (model status \"none\") [S5].\n- The AI Adaptation Score (AAS) is 9.397, ranking ANKM in the 6.5th percentile of its 6,511-name universe and the 1.0th percentile of its 585-name software sector [S5].\n- What would move it: a later filing that actually discusses AI — deployment, investment, or products — detectable by the lexical read, and ideally a model read that confirms credible adoption [S5].\n\n## 2. The company\n\nThe pack identifies the filer as Ankam, Inc., SEC CIK 1781629 [S4]. Its SIC code is 7371, described as \"Services-Computer Programming Services,\" and the scoring run classifies it in the software sector [S1][S5]. The security trades on the OTC market [S5]. The filing reviewed as the score's anchor is a Form 10-Q filed 2026-10-14 covering the quarterly period ending 2026-08-31 [S1]. The EventTrader price feed shows a last quote of 6.0, flagged as stale [S6]. Beyond filer identity, sector classification, and the anchor filing, the pack states nothing further about Ankam's business, products, or operations, so this report makes no further claims about them.\n\n## 3. What the filing says about AI\n\nThe pack contains no AI sentence from the anchor filing: the lexical read counts zero AI sentences, zero substance hits, and zero risk hits, and the set of grounded quotes is empty [S5]. Because no filing sentences about AI were supplied in the evidence pack and the filing reviewed does not, by the score's reading, contain any, there is nothing here to quote verbatim. In short: the anchor filing, as scored, says nothing about artificial intelligence [S5].\n\n## 4. The AI Adaptation Score\n\nThe adoption level is 0, \"absent,\" derived from a lexical read of 0 (no AI language detected) [S5]. No model read was performed — model status is \"none,\" and confidence, credibility, and all sub-scores are empty, so there is no model read to report [S5]. The anchor filing measures 2,212 words total and 2,119 words of substance, with ai_sentences, hits_substance, hits_risk, density_substance, and placement all at 0.0 [S5]. The financial-intensity ratios (R&D-to-revenue, capex-to-revenue, revenue-per-employee) are null in the pack [S5].\n\nThe AI Adaptation Score is 9.397 [S5]. Its components are: level 0.0, greenfield 0.0, credibility 0.0, trajectory 5.886, and investment 3.511 [S5]. The score assigns the cluster \"non_adopter\" [S5]. In context, the AAS sits in the 6.5th percentile of the 6,511-name universe and the 1.0th percentile of the 585-name software sector (SIC 7370–7379) [S5]. Those percentiles place ANKM near the bottom of both groups on this measure [S5].\n\n## 5. Trajectory\n\nThe previous periodic report was a Form 10-Q filed 2026-07-22, accession 0001683168-26-005694, which also scored level 0, \"absent,\" with zero AI sentences and a substance density of 0.0 [S3]. The level therefore did not move: the anchor filing and the prior filing both register \"absent\" [S3][S5]. The trajectory component nonetheless carries a value of 5.886 in the score, but the adoption level itself is unchanged across the two filings [S5].\n\n## 6. Recent developments\n\nThe pack reports no headlines: the headline feed is empty over its 45-day window [S5]. There are, accordingly, no dated news items to list here [S5].\n\n## 7. What would change the verdict\n\nMoving ANKM out of the short book would require future evidence the pack does not currently contain. Concretely, a later periodic filing would need to contain AI language detectable by the lexical read — AI sentences, substance hits, or risk hits above zero, lifting the \"absent\" level [S5]. Stronger still would be sentences describing AI that is deployed, proprietary, or tied to measurable outcomes or investment, since the current filing registers zero on every such feature [S5]. A model read (currently \"none\") that returned credible, grounded adoption with positive sub-scores would also raise the level and credibility components, both of which now stand at 0.0 [S5]. None of this is forecast here; it is simply the kind of filing-based evidence the score would need to read differently.\n\n## 8. Risks and caveats\n\nA filing-based score sees only what is written in the reviewed document. The AAS here rests on a lexical reading of one 10-Q's text, so it measures the presence and framing of AI language, not Ankam's actual technology, internal tooling, or intentions [S5]. A company can use AI operationally and never describe it in a quarterly report; a keyword-and-sentence count cannot detect activity the filing does not mention [S5]. No model read was run, so there is no second, meaning-aware check against the lexical zero [S5]. Data-quality caveats: the financial-intensity ratios are null, and the price quote is flagged stale, so neither informs the read [S5][S6]. The verdict would be falsified if the anchor filing in fact contained AI discussion that the read missed, or if a subsequent filing or model read surfaced credible adoption — in which case the \"absent\" level and the non_adopter cluster would no longer hold [S5].\n\n## 9. Watch list\n\nThe next item to watch is Ankam's following periodic filing on SEC EDGAR, which would supersede the 2026-08-31 10-Q as the anchor and could change the level if its text differs [S1][S4]. A model read is pending in the sense that none has been performed (status \"none\"); its completion would add sub-scores, confidence, and credibility the current score lacks [S5]. The next scoring run would re-evaluate the AAS, its components, and the universe and sector percentiles against any new filing [S5].\n## Place in the book\n\n- Rank 2 of 10 in AMF-BLACKSWAN (Swan Composite v1.1.0, scoring run 2026-11-06): the book holds the lowest composites [S5].\n- Composite: 0.50 × 9.4 (AAS) + 0.25 × 50.0 (story) + 0.25 × 51.7 (market) = 30.1 [S5].\n- Market verdict 51.7: over the last 90 days ANKM moved with the software universe's median daily return (down-capture 0.17, up-capture 0.24, L = 0.07; 20 down / 13 up days) — the Failure-To-Adapt fund's selection signal, 50 = moves with the software universe's median daily return [S5].\n- AI Story Score 50.0: no AI story or a neutral one in the AI stories written about the company [S5].\n- Weight: rank factor 1.89 (rank 2 of 10) × story factor 1.00 × market factor 1.00, normalised across the book and clamped to 5–20% → 12.1% [S5].\n\n## Sources\n\n- **S1** — ANKM 10-Q filed 2026-10-14 — SEC primary document (the anchor filing the score reads) — \n- **S2** — EDGAR filing index for accession 0001683168-26-007830 — \n- **S3** — ANKM 10-Q filed 2026-07-22 — the previous periodic report (trajectory) — \n- **S4** — SEC EDGAR company submissions — Ankam, Inc. (CIK 1781629) — \n- **S5** — EventTrader AI Adaptation Score, scoring run 2026-11-06 — the AMF-BLACKSWAN fund page (method, composition) — \n- **S6** — EventTrader real-price feed — ANKM quote — \n\n## Method and disclaimer\n\nThe AI Adaptation Score reads each company's own periodic SEC reports (10-K, 10-Q, 20-F, 40-F): deterministic features (AI sentences by section, proprietary-model, deployment, outcome, investment and vendor language, boilerplate and negation excluded) set an adoption level on a 0–4 rubric; a model read of the filing's AI sentences confirms the level and scores credibility and greenfield (the business built with AI from the ground up rather than retrofitted); the score combines level, greenfield, credibility, trajectory against the previous report and investment, measured against the company's sector, with greenfield carrying the highest reward. The books are composed by Swan Composite v1.1.0: each company's composite is 50% AI Adaptation Score + 25% AI Story Score + 25% market verdict — the AI Story Score is the sentiment of the AI stories written about it, the belief network of companies named in the same stories and the price reaction to those stories (no story scores neutral); the market verdict is the Failure-To-Adapt fund's selection signal, the signed down/up capture ratio of the stock against the software universe's median return over 90 days (a stock that falls more and rises less than its peers scores below 50). AMF-BLACKSWAN holds the ten lowest composites that pass the liquidity screen and the new-listing gate and AMF-WHITESWAN the ten highest, weighted by conviction (rank, story agreement and market agreement, each leg 5–20%), recomposed on every scoring run. Every quote in this report is the filing's text verbatim; every factual sentence names its source; a source the platform could not reach is reported as missing, never filled in.\n\n*This report is information, not investment advice. Figures come from the cited sources as of their dates. Nothing here is a recommendation to buy, sell or hold any asset.*\n","html":"

AI Adaptation Research Report — ANKM (Ankam, Inc.) · BlackSwan constituent

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EventTrader research desk · generated 2026-11-06 04:50 UTC · report ai-adapt-ankm-20261106 · narrative: AI analyst, checked against the evidence pack

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CompanyANKM — Ankam, Inc. · SIC 7371 Services-Computer Programming Services
BookAMF-BLACKSWAN (short) — BlackSwan
Composition algorithmSwan Composite v1.1.0 — 50% AI Adaptation Score + 25% AI Story Score + 25% market verdict, conviction-weighted
Anchor filing10-Q filed 2026-10-14 (period 2026-08-31)
Adoption level0 — absent · deterministic
AI Adaptation Score9.4 / 100 · run 2026-11-06 · sector software percentile 1.0
Price6 USD · stale quote
Place in the bookrank 2 of 10 · composite 30.1 · story 50.0 · market verdict 51.7 · weight 12.1%
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1. Verdict

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    \n
  • ANKM is placed in the BlackSwan short book because its anchor filing contains no detectable discussion of artificial intelligence, giving it an AI adoption level of \"absent\" [S5].
    • \n
  • The anchor filing is Ankam, Inc.'s Form 10-Q filed 2026-10-14 for the period ending 2026-08-31, accession 0001683168-26-007830 [S1][S2].
    • \n
  • The measured adoption level is 0, named \"absent,\" with no model read performed (model status \"none\") [S5].
    • \n
  • The AI Adaptation Score (AAS) is 9.397, ranking ANKM in the 6.5th percentile of its 6,511-name universe and the 1.0th percentile of its 585-name software sector [S5].
    • \n
  • What would move it: a later filing that actually discusses AI — deployment, investment, or products — detectable by the lexical read, and ideally a model read that confirms credible adoption [S5].
    • \n
\n

2. The company

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The pack identifies the filer as Ankam, Inc., SEC CIK 1781629 [S4]. Its SIC code is 7371, described as \"Services-Computer Programming Services,\" and the scoring run classifies it in the software sector [S1][S5]. The security trades on the OTC market [S5]. The filing reviewed as the score's anchor is a Form 10-Q filed 2026-10-14 covering the quarterly period ending 2026-08-31 [S1]. The EventTrader price feed shows a last quote of 6.0, flagged as stale [S6]. Beyond filer identity, sector classification, and the anchor filing, the pack states nothing further about Ankam's business, products, or operations, so this report makes no further claims about them.

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3. What the filing says about AI

\n

The pack contains no AI sentence from the anchor filing: the lexical read counts zero AI sentences, zero substance hits, and zero risk hits, and the set of grounded quotes is empty [S5]. Because no filing sentences about AI were supplied in the evidence pack and the filing reviewed does not, by the score's reading, contain any, there is nothing here to quote verbatim. In short: the anchor filing, as scored, says nothing about artificial intelligence [S5].

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4. The AI Adaptation Score

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The adoption level is 0, \"absent,\" derived from a lexical read of 0 (no AI language detected) [S5]. No model read was performed — model status is \"none,\" and confidence, credibility, and all sub-scores are empty, so there is no model read to report [S5]. The anchor filing measures 2,212 words total and 2,119 words of substance, with ai_sentences, hits_substance, hits_risk, density_substance, and placement all at 0.0 [S5]. The financial-intensity ratios (R&D-to-revenue, capex-to-revenue, revenue-per-employee) are null in the pack [S5].

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The AI Adaptation Score is 9.397 [S5]. Its components are: level 0.0, greenfield 0.0, credibility 0.0, trajectory 5.886, and investment 3.511 [S5]. The score assigns the cluster \"non_adopter\" [S5]. In context, the AAS sits in the 6.5th percentile of the 6,511-name universe and the 1.0th percentile of the 585-name software sector (SIC 7370–7379) [S5]. Those percentiles place ANKM near the bottom of both groups on this measure [S5].

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5. Trajectory

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The previous periodic report was a Form 10-Q filed 2026-07-22, accession 0001683168-26-005694, which also scored level 0, \"absent,\" with zero AI sentences and a substance density of 0.0 [S3]. The level therefore did not move: the anchor filing and the prior filing both register \"absent\" [S3][S5]. The trajectory component nonetheless carries a value of 5.886 in the score, but the adoption level itself is unchanged across the two filings [S5].

\n

6. Recent developments

\n

The pack reports no headlines: the headline feed is empty over its 45-day window [S5]. There are, accordingly, no dated news items to list here [S5].

\n

7. What would change the verdict

\n

Moving ANKM out of the short book would require future evidence the pack does not currently contain. Concretely, a later periodic filing would need to contain AI language detectable by the lexical read — AI sentences, substance hits, or risk hits above zero, lifting the \"absent\" level [S5]. Stronger still would be sentences describing AI that is deployed, proprietary, or tied to measurable outcomes or investment, since the current filing registers zero on every such feature [S5]. A model read (currently \"none\") that returned credible, grounded adoption with positive sub-scores would also raise the level and credibility components, both of which now stand at 0.0 [S5]. None of this is forecast here; it is simply the kind of filing-based evidence the score would need to read differently.

\n

8. Risks and caveats

\n

A filing-based score sees only what is written in the reviewed document. The AAS here rests on a lexical reading of one 10-Q's text, so it measures the presence and framing of AI language, not Ankam's actual technology, internal tooling, or intentions [S5]. A company can use AI operationally and never describe it in a quarterly report; a keyword-and-sentence count cannot detect activity the filing does not mention [S5]. No model read was run, so there is no second, meaning-aware check against the lexical zero [S5]. Data-quality caveats: the financial-intensity ratios are null, and the price quote is flagged stale, so neither informs the read [S5][S6]. The verdict would be falsified if the anchor filing in fact contained AI discussion that the read missed, or if a subsequent filing or model read surfaced credible adoption — in which case the \"absent\" level and the non_adopter cluster would no longer hold [S5].

\n

9. Watch list

\n

The next item to watch is Ankam's following periodic filing on SEC EDGAR, which would supersede the 2026-08-31 10-Q as the anchor and could change the level if its text differs [S1][S4]. A model read is pending in the sense that none has been performed (status \"none\"); its completion would add sub-scores, confidence, and credibility the current score lacks [S5]. The next scoring run would re-evaluate the AAS, its components, and the universe and sector percentiles against any new filing [S5].

\n

Place in the book

\n
    \n
  • Rank 2 of 10 in AMF-BLACKSWAN (Swan Composite v1.1.0, scoring run 2026-11-06): the book holds the lowest composites [S5].
    • \n
  • Composite: 0.50 × 9.4 (AAS) + 0.25 × 50.0 (story) + 0.25 × 51.7 (market) = 30.1 [S5].
    • \n
  • Market verdict 51.7: over the last 90 days ANKM moved with the software universe's median daily return (down-capture 0.17, up-capture 0.24, L = 0.07; 20 down / 13 up days) — the Failure-To-Adapt fund's selection signal, 50 = moves with the software universe's median daily return [S5].
    • \n
  • AI Story Score 50.0: no AI story or a neutral one in the AI stories written about the company [S5].
    • \n
  • Weight: rank factor 1.89 (rank 2 of 10) × story factor 1.00 × market factor 1.00, normalised across the book and clamped to 5–20% → 12.1% [S5].
    • \n
\n

Sources

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Method and disclaimer

\n

The AI Adaptation Score reads each company's own periodic SEC reports (10-K, 10-Q, 20-F, 40-F): deterministic features (AI sentences by section, proprietary-model, deployment, outcome, investment and vendor language, boilerplate and negation excluded) set an adoption level on a 0–4 rubric; a model read of the filing's AI sentences confirms the level and scores credibility and greenfield (the business built with AI from the ground up rather than retrofitted); the score combines level, greenfield, credibility, trajectory against the previous report and investment, measured against the company's sector, with greenfield carrying the highest reward. The books are composed by Swan Composite v1.1.0: each company's composite is 50% AI Adaptation Score + 25% AI Story Score + 25% market verdict — the AI Story Score is the sentiment of the AI stories written about it, the belief network of companies named in the same stories and the price reaction to those stories (no story scores neutral); the market verdict is the Failure-To-Adapt fund's selection signal, the signed down/up capture ratio of the stock against the software universe's median return over 90 days (a stock that falls more and rises less than its peers scores below 50). AMF-BLACKSWAN holds the ten lowest composites that pass the liquidity screen and the new-listing gate and AMF-WHITESWAN the ten highest, weighted by conviction (rank, story agreement and market agreement, each leg 5–20%), recomposed on every scoring run. Every quote in this report is the filing's text verbatim; every factual sentence names its source; a source the platform could not reach is reported as missing, never filled in.

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This report is information, not investment advice. Figures come from the cited sources as of their dates. Nothing here is a recommendation to buy, sell or hold any asset.

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