{
  "format": "hyperize/v1",
  "@id": "https://www.hyperize.ai/en/dax40-index/brands/fresenius-medical-care.json",
  "type": "BrandScore",
  "pageType": "BrandScore",
  "releaseState": "pilot_probe",
  "releaseLabel": "Pilot Probe",
  "title": "Fresenius Medical Care — Pilot Probe (Single-Task Observation, Wave Q2 2026)",
  "pilotProbe": {
    "status": "pilot_probe",
    "rationale": "Single-task observation under a narrower provider track than a full BrandScore. The Agent Success Score is computed but should be read as an early signal, not a fully-qualified score.",
    "promotionCriteria": "Confidence promotes to B (and releaseState to brand_score) when the next wave adds a second task and the fourth provider on the Discoverability track.",
    "nextWave": "WAVE-Q3-2026"
  },
  "hook": {
    "en": "NephroCare runs the world's largest dialysis network and the patient handoff is a generic contact form. A plain reader gets a partial read of the center finder, therapy types load only after JavaScript. A coding agent picks up structure but loses HD-versus-PD detail. A browser navigates to NephroCare München-Ost Neuperlach, confirms hemodialysis and online HDF, and lands on a contact form, no patient registration, no appointment booking, no treatment-specific intake.",
    "de": "NephroCare betreibt das weltweit größte Dialyse-Netzwerk und der Patienten-Handoff ist ein generisches Kontaktformular. Ein einfacher Reader bekommt einen Teil-Read des Zentrums-Finders, Therapie-Typen laden erst nach JavaScript. Ein Coding-Agent erfasst Struktur, verliert aber HD-versus-PD-Detail. Ein Browser navigiert zu NephroCare München-Ost Neuperlach, bestätigt Hämodialyse und Online-HDF und landet auf einem Kontaktformular, keine Patientenanmeldung, keine Terminbuchung, keine therapiespezifische Aufnahme."
  },
  "summary": {
    "en": "A working dialysis-center finder that closes on a paper form, not a treatment intake.",
    "de": "Ein funktionierender Dialysezentrums-Finder, der auf einem Papierformular schließt, nicht auf einer Therapie-Aufnahme."
  },
  "brandName": "Fresenius Medical Care",
  "legalEntity": "Fresenius Medical Care AG",
  "daxTicker": "FME",
  "sector": "pharma_healthcare",
  "sectorLabel": "Pharma & Healthcare",
  "inLanguage": "en",
  "datePublished": "2026-05-18",
  "dateModified": "2026-05-24",
  "nextReview": "2026-09-30",
  "confidence": "C",
  "evidenceTier": "proprietary",
  "wave": "WAVE-Q2-2026-W5-LIFE-SCIENCES",
  "url": "https://www.hyperize.ai/en/dax40-index/brands/fresenius-medical-care",
  "alternateLanguage": {
    "de": "https://www.hyperize.ai/de/dax40-index/brands/fresenius-medical-care"
  },
  "isPartOf": {
    "@id": "https://www.hyperize.ai/en/dax40-index",
    "name": "DAX 40 Agent Success Index"
  },
  "lanes": [
    {
      "id": "commerce",
      "name": "Commerce",
      "measured": true
    },
    {
      "id": "talent",
      "name": "Talent",
      "measured": false
    },
    {
      "id": "aftersales",
      "name": "After-sales",
      "measured": false
    },
    {
      "id": "procurement",
      "name": "Procurement",
      "measured": false
    },
    {
      "id": "investor_relations",
      "name": "Investor Relations",
      "measured": false
    },
    {
      "id": "press",
      "name": "Press",
      "measured": false
    }
  ],
  "commercialLane": {
    "visibility": {
      "question": "Will an agent find and recommend the brand?",
      "score": 45,
      "dimension": "Discoverability (D)",
      "methodVersion": "gate1/v1.1",
      "sampleSize": 18,
      "providers": [
        "openai",
        "perplexity",
        "anthropic"
      ],
      "provenance": "measured"
    },
    "usability": {
      "question": "Once an agent arrives — how far does it get toward the deal?",
      "score": 44,
      "scoreNote": "Derived from the access profile below + close state (usability-derivation/v1). NOT a hand-averaged number — a reproducible summary of observed agent behaviour.",
      "accessProfile": [
        {
          "agentClass": "text",
          "outcome": "partial"
        },
        {
          "agentClass": "search",
          "outcome": "pending"
        },
        {
          "agentClass": "code",
          "outcome": "partial"
        },
        {
          "agentClass": "browser",
          "outcome": "success"
        },
        {
          "agentClass": "full_automation",
          "outcome": "success"
        }
      ],
      "blockedClasses": [],
      "passClasses": [
        "browser",
        "full_automation"
      ],
      "closeState": "booking_form_ready",
      "closeStateNote": null,
      "methodVersion": "fleet/measured",
      "provenance": "measured"
    },
    "evidence": {
      "score": 70,
      "basis": "estimate — cross-method ground-truth consistency, not a separate measured run",
      "note": "A confidence layer on the two axes above, not a third sales axis."
    }
  },
  "score": {
    "compositeForIndexRanking": {
      "value": 46.8,
      "scale100": 46.8,
      "scale10": 4.7,
      "status": "computed",
      "formula": "Agent Success Score = (AI Visibility × 0.20) + (AI Usability × 0.70) + (Evidence × 0.10)",
      "methodVersion": "ars-methodology/v1.1",
      "usabilityDerivation": "usability-derivation/v1",
      "role": "index-ranking",
      "note": "Weighted composite, used for ranking the index. Read the two commercialLane axes (visibility + usability) for the standalone verdict — this single number blends them and is not the headline."
    },
    "dimensions": {
      "aiVisibility": {
        "name": "AI Visibility (Discoverability)",
        "weight": 0.2,
        "value": 45,
        "methodVersion": "gate1/v1.1",
        "sampleSize": 18,
        "providers": [
          "openai",
          "perplexity",
          "anthropic"
        ],
        "queryVariants": 3,
        "runsPerVariant": 2,
        "taskCount": 1
      },
      "aiUsability": {
        "name": "AI Usability (reach + completion)",
        "weight": 0.7,
        "value": 44,
        "derivation": "usability-derivation/v1",
        "basis": "derived from the access profile (per-class outcomes) + close state"
      },
      "evidence": {
        "name": "Evidence",
        "weight": 0.1,
        "value": 70,
        "methodVersion": "fleet/measured"
      }
    }
  },
  "thirdPartyInterception": {
    "classification": "none",
    "classificationLabel": "None",
    "directShare": 0,
    "intermediaryShare": 0,
    "intermediaryCaptureExamples": [],
    "narrative": {
      "en": "Channel position derivation on the Wave 5 Cody Gate-1 response texts is queued; the displayed share values are the unmeasured default. The measured task closes at NephroCare's own contact form, so the close-state is brand-owned rather than intermediated; the patient discovery competition with KfH and health-insurer directories will be characterised in the next pass.",
      "de": "Channel-Position-Ableitung aus den Wave-5-Cody-Gate-1-Antworttexten ist eingereiht; die angezeigten Share-Werte sind der ungemessene Default. Der gemessene Task schließt am eigenen NephroCare-Kontaktformular, der Close-State ist also markenbezogen, nicht intermediär; die Patienten-Discovery-Konkurrenz mit KfH und Krankenkassen-Verzeichnissen wird im nächsten Pass charakterisiert."
    }
  },
  "bottleneck": {
    "type": "usability",
    "classification": {
      "en": "Usability",
      "de": "Usability"
    },
    "classificationNote": {
      "en": "Found, but the surface stalls the agent.",
      "de": "Gefunden, aber die Surface stoppt den Agenten."
    },
    "sentence": {
      "en": "A working dialysis-center finder that closes on a paper form, not a treatment intake.",
      "de": "Ein funktionierender Dialysezentrums-Finder, der auf einem Papierformular schließt, nicht auf einer Therapie-Aufnahme."
    },
    "executiveSummary": {
      "en": "NephroCare's center finder reaches the right facility with the right therapy type, the discovery layer works for browser-class agents. The last mile is a generic contact form that drops the treatment context the agent worked hard to establish. The handoff is the weakest part of an otherwise strong patient-discovery path.",
      "de": "Der Zentrums-Finder von NephroCare erreicht die richtige Einrichtung mit dem richtigen Therapie-Typ, die Discovery-Schicht funktioniert für browserbasierte Agenten. Die letzte Meile ist ein generisches Kontaktformular, das den Behandlungs-Kontext fallen lässt, den der Agent mühsam aufgebaut hat. Der Handoff ist der schwächste Teil eines ansonsten starken Patienten-Discovery-Pfads."
    }
  },
  "testNarrative": {
    "verdict": {
      "en": "The world's largest dialysis network that ends on a contact form.",
      "de": "Das weltgrößte Dialyse-Netzwerk, das auf einem Kontaktformular endet."
    },
    "narrative": {
      "en": "We asked five kinds of AI agent to find a Fresenius Medical Care dialysis center in Munich for a hemodialysis patient, then reach a registration path. The plain reader fetched nephrocare.com and got a partial render, center names loaded, therapy-type filtering did not. The coding agent reached more structure but lost the HD-versus-PD distinction. The browser navigated to NephroCare München-Ost Neuperlach, confirmed HD and Online-HDF as offered treatment types, found the holiday-dialysis path, and landed on a generic contact form. ACT completed the same handoff.",
      "de": "Wir haben fünf Typen von KI-Agenten auf nephrocare.com geschickt, ein Dialysezentrum in München für einen Hämodialyse-Patienten zu finden und einen Anmeldepfad zu erreichen. Der einfache Reader holte die Seite und bekam einen Teil-Render, Zentrumsnamen luden, Therapie-Typ-Filter nicht. Der Coding-Agent erfasste mehr Struktur, verlor aber die HD-versus-PD-Unterscheidung. Der Browser navigierte zu NephroCare München-Ost Neuperlach, bestätigte HD und Online-HDF als angebotene Therapie-Typen, fand den Urlaubsdialyse-Pfad und landete auf einem generischen Kontaktformular. ACT machte denselben Handoff."
    },
    "scopeShift": {
      "en": "This is one therapy type at one center. Fresenius Medical Care operates 4,100+ dialysis centers worldwide across hemodialysis, peritoneal dialysis, and home therapies, each with its own intake path.",
      "de": "Das ist ein Therapie-Typ in einem Zentrum. Fresenius Medical Care betreibt 4.100+ Dialysezentren weltweit über Hämodialyse, Peritoneal-Dialyse und Heim-Therapien, jedes mit eigenem Aufnahmepfad."
    },
    "agentMatrix": [
      {
        "type": "text",
        "status": "partial",
        "note": "HTTP 200 partial render; center names load, therapy filter behind JS render"
      },
      {
        "type": "search",
        "status": "pending",
        "note": "Wave 5 Cody Gate-1 in progress"
      },
      {
        "type": "code",
        "status": "partial",
        "note": "Coding agent reaches structure but loses HD-versus-PD detail (Score 55)"
      },
      {
        "type": "browser",
        "status": "success",
        "note": "3 of 3 runs reached München-Ost + HD/Online-HDF + contact form, Score avg 87.3"
      },
      {
        "type": "full_automation",
        "status": "success",
        "note": "ACT reached generic contact form with center context preserved but treatment context dropped, Score 89"
      }
    ]
  },
  "fairnessDeclaration": {
    "reviewPassed": false,
    "note": "Wave 5 Q2 2026 audit complete on a single task (NephroCare München-Ost Hämodialyse intake, booking-form-ready close state). AI Visibility from Cody Gate-1 on an unbranded informational probe (Dialysezentrum-München-Anmeldung). AI Usability from a fleet wave (2026-04-07) full phase 1-4. Fairness Review pending the sector fairness grid.",
    "methodologyUrl": "https://www.hyperize.ai/en/methodology/task-selection",
    "sectorGridRef": null
  },
  "activeTasks": [
    {
      "title": {
        "en": "NephroCare München-Ost — hemodialysis patient registration",
        "de": "NephroCare München-Ost — Hämodialyse-Patientenanmeldung"
      },
      "closeState": "booking_form_ready",
      "intermediaryMode": "none",
      "businessRelevance": null,
      "difficultyBand": null,
      "engpass": {
        "en": "Therapy filter behind JS render; text and code agents miss the HD/PD distinction; browser closes on a generic contact form that drops treatment context.",
        "de": "Therapie-Filter hinter JS-Render; Text- und Code-Agenten verlieren die HD/PD-Unterscheidung; Browser schließt auf einem generischen Kontaktformular, das Behandlungs-Kontext fallen lässt."
      }
    }
  ],
  "scoreHistory": [
    {
      "date": "2026-04-07",
      "quarter": "q1-2026",
      "waveId": "a fleet wave",
      "protocolVersion": "fleet/measured",
      "summary": "First-pass FLEET measurement: NephroCare München-Ost hemodialysis intake across ceiling + http + coding + browser-agent + act breeds. Found JS-rendered therapy filter blocking text/code agents from HD/PD distinction; browser success 3/3 Score 87.3; ACT booking-form-ready on a generic contact form that drops treatment context."
    },
    {
      "date": "2026-05-24",
      "quarter": "Q2 2026",
      "waveId": "WAVE-Q2-2026-W5-LIFE-SCIENCES",
      "protocolVersion": "ars-methodology/v1.1",
      "summary": "Wave 5 kickoff. Cody Gate-1 audit running on unbranded informational probe (Dialysezentrum-München). AI Usability carried from a fleet wave full phase 1-4 access profile."
    }
  ],
  "methodology": {
    "formula": "Agent Success Score = (AI Visibility × 0.20) + (AI Usability × 0.70) + (Evidence × 0.10)",
    "usabilityDerivation": "usability-derivation/v1",
    "protocolVersion": "ars-methodology/v1.1",
    "taskSelection": "https://www.hyperize.ai/en/methodology/task-selection",
    "agentSurface": "https://www.hyperize.ai/en/methodology",
    "dimensions": {
      "aiVisibility": "AI Visibility (Discoverability) — audit-pipeline-derived. 3–4 providers × 3 query variants × 2 runs.",
      "aiUsability": "AI Usability — derived from the per-class access profile (which agent classes reach the close state) modulated by close-state depth. The profile is the truth; the score is a reproducible summary, not a hand-rating.",
      "evidence": "Evidence — cross-method ground-truth consistency. A confidence layer, not a sales axis."
    }
  },
  "consequenceClose": {
    "archetype": "actionability",
    "archetypeLabel": {
      "en": "actionability",
      "de": "Actionability"
    },
    "source": "brand",
    "diagnosis": {
      "en": "On specialised healthcare-facility discovery, NephroCare is not lacking a center finder, the patient-facing surface reaches the right center with the right therapy type when the agent runs a browser. It is losing on two layers. Text and code agents miss the HD-versus-PD distinction because therapy filter renders JS-side. And the handoff that should carry \"hemodialysis patient in Munich needs intake\" drops to a generic contact form, dropping the treatment context that took the agent four steps to establish.",
      "de": "In der spezialisierten Healthcare-Facility-Discovery fehlt NephroCare kein Zentrums-Finder, die patientenfacing Surface erreicht das richtige Zentrum mit dem richtigen Therapie-Typ, wenn der Agent einen Browser fährt. Es verliert auf zwei Ebenen. Text- und Code-Agenten übersehen die HD-versus-PD-Unterscheidung, weil das Therapie-Filter JS-seitig rendert. Und der Handoff, der \"Hämodialyse-Patient in München braucht Aufnahme\" tragen sollte, fällt auf ein generisches Kontaktformular und verwirft den Behandlungs-Kontext, den der Agent in vier Schritten aufgebaut hat."
    },
    "evidence": {
      "en": "A working dialysis-center finder that closes on a paper form, not a treatment intake.",
      "de": "Ein funktionierender Dialysezentrums-Finder, der auf einem Papierformular schließt, nicht auf einer Therapie-Aufnahme."
    },
    "question": {
      "en": "The question this raises: where would deeper Action-pathway measurement — handoff stability, deep-link routing, structured booking endpoints — sharpen the read?",
      "de": "Die Frage daraus: Wo würde tiefere Action-Pfad-Messung — Handoff-Stabilität, Deep-Link-Routing, strukturierte Booking-Endpunkte — die Lesart schärfen?"
    },
    "confidenceHedge": {
      "en": "Based on the current pilot slate, this read is directional.",
      "de": "Basierend auf dem aktuellen Pilot-Slate ist diese Lesart direktional."
    },
    "closes": {
      "en": "The fix is not redesigning the patient portal. It is publishing a treatment-typed intake path the agent can reach with context preserved: Reference Pages per center carrying center + treatment types + intake URL with treatment parameter pre-filled, Answer Pages for \"Wo Dialysezentrum für X in Y?\", a structured-data layer over the contact form so the treatment context survives the handoff.",
      "de": "Der Hebel ist nicht das Neugestalten des Patientenportals. Es ist das Veröffentlichen eines therapie-typisierten Aufnahmepfads, den der Agent mit erhaltenem Kontext erreichen kann: Reference Pages pro Zentrum mit Zentrum + Therapie-Typen + Aufnahme-URL mit vorausgefülltem Therapie-Parameter, Answer Pages für \"Wo Dialysezentrum für X in Y?\", eine Structured-Data-Schicht über dem Kontaktformular, damit der Behandlungs-Kontext den Handoff überlebt."
    },
    "proof": {
      "en": "The proof is not a new intake form. It is plain readers and coding agents extracting \"NephroCare München-Ost, HD + Online-HDF, intake URL with hemodialysis pre-selected\" directly, alongside the existing browser path, re-measured each wave.",
      "de": "Der Beweis ist nicht ein neues Aufnahmeformular. Es ist, dass einfache Reader und Coding-Agenten \"NephroCare München-Ost, HD + Online-HDF, Aufnahme-URL mit Hämodialyse vorausgewählt\" direkt extrahieren, neben dem bestehenden Browser-Pfad, neu gemessen mit jeder Wave."
    },
    "ctas": [
      {
        "weight": "primary",
        "eyebrow": "Audit · €1,900",
        "title": {
          "en": "Commission an audit.",
          "de": "Audit beauftragen."
        },
        "body": {
          "en": "Where the BrandScore opens the question, an audit closes it. An interpretive engagement on your full surface, scored under the same methodology.",
          "de": "Wo die BrandScore die Frage öffnet, schließt sie ein Audit. Ein interpretatives Engagement auf der vollen Surface, gemessen unter derselben Methodologie."
        },
        "cta": {
          "en": "Get the audit",
          "de": "Audit anfragen"
        },
        "href": "mailto:hello@hyperize.ai?subject=Audit%20%C2%B7%20Fresenius%20Medical%20Care"
      },
      {
        "weight": "secondary",
        "eyebrow": "Founding · €4,500",
        "title": {
          "en": "Found with us.",
          "de": "Founding Program."
        },
        "body": {
          "en": "Strategic partnership for brands building agent success as a long-term capability, not a one-off engagement.",
          "de": "Strategische Partnerschaft für Marken, die Agent-Success als langfristige Capability aufbauen — nicht als Einmal-Engagement."
        },
        "cta": {
          "en": "Apply",
          "de": "Bewerben"
        },
        "href": "mailto:hello@hyperize.ai?subject=Founding%20Program%20%C2%B7%20Fresenius%20Medical%20Care"
      },
      {
        "weight": "secondary",
        "eyebrow": "Snapshot",
        "title": {
          "en": "Audit an adjacent property.",
          "de": "Eine angrenzende Property messen."
        },
        "body": {
          "en": "The BrandScore covers the primary domain. Get the same methodology applied to an adjacent property: a country site, a sub-brand, a category beyond the DAX-40 slate.",
          "de": "Die BrandScore deckt die primäre Domain ab. Die gleiche Methodologie für eine angrenzende Property: eine Länderseite, eine Sub-Brand, eine Kategorie außerhalb des DAX-40-Slates."
        },
        "cta": {
          "en": "Get a Snapshot",
          "de": "Snapshot anfragen"
        },
        "href": "mailto:hello@hyperize.ai?subject=Snapshot%20%C2%B7%20adjacent%20property%20for%20Fresenius%20Medical%20Care"
      }
    ]
  },
  "sources": [
    {
      "id": "S1",
      "label": "Gate-1 audit run · FMC Wave Q2 2026 (Cody, unbranded informational)",
      "accessedAt": "2026-05-24",
      "supports": [
        "AI Visibility score (audit-derived, 18 datapoints, 3 providers)",
        "AI platforms queried (openai/perplexity/anthropic)",
        "close state reached (booking_form_ready)"
      ],
      "url": null,
      "kind": "internal",
      "internalLabel": "Internal · Hyperize audit pipeline"
    },
    {
      "id": "S2",
      "label": "a fleet wave Life Sciences wave · NephroCare phases 1-4 (Giorgio repo)",
      "accessedAt": "2026-04-07",
      "supports": [
        "per-breed access profile (text/code partial; browser success 3/3 Score 87.3; ACT generic contact form Score 89)",
        "JS-render finding (center identity at HTTP, therapy filter only after JS)",
        "generic-contact-form ACT (treatment context dropped at handoff)"
      ],
      "url": null,
      "kind": "internal",
      "internalLabel": "Internal · Hyperize fleet (Giorgio)"
    },
    {
      "id": "S3",
      "label": "Ground-truth ceiling run · NephroCare München-Ost Hämodialyse",
      "accessedAt": "2026-04-07",
      "supports": [
        "Ground-truth center (NephroCare München-Ost Neuperlach)",
        "Treatment-type verification (HD + Online-HDF + holiday dialysis path)"
      ],
      "url": null,
      "kind": "internal",
      "internalLabel": "Internal · Hyperize fleet (Giorgio)"
    },
    {
      "id": "S4",
      "label": "Task Selection Doctrine",
      "accessedAt": "2026-05-24",
      "supports": [
        "fairness declaration",
        "Third-Party Interception framing"
      ],
      "url": "https://www.hyperize.ai/en/methodology/task-selection",
      "kind": "public",
      "internalLabel": null
    }
  ],
  "crossLinks": {
    "index": "https://www.hyperize.ai/en/dax40-index",
    "taskSelection": "https://www.hyperize.ai/en/methodology/task-selection",
    "agentSurface": "https://www.hyperize.ai/en/methodology",
    "foundingProgram": "https://www.hyperize.ai/en/founding-program"
  },
  "scope": {
    "publishes": [
      "Brand identity (name, legal entity, DAX ticker, sector)",
      "Composite (index-ranking) + AI Visibility + AI Usability (as access profile + derived score) + Evidence, with weights",
      "Per-agent-class access profile (which agent classes reach the close state)",
      "Third-Party Interception classification, direct/intermediary share, narrative",
      "Hyperize-selected task titles, close state, intermediary mode, task score, bottleneck sentence",
      "Measurement timeline (date, wave, protocol version, summary)",
      "Sources with public URLs or internal-evidence pointers",
      "Confidence grade + Evidence tier + Next review date",
      "Bottleneck classification (Discovery / Interception / Usability / Multi-axis / No dominant gap)",
      "Bottleneck archetype + consequence-claim diagnosis + operator question",
      "Test narrative (verdict, narrative, agent matrix, scope shift) — scene-level prose, no prompts or formulas"
    ],
    "doesNotPublish": [
      "Task identifiers (internal)",
      "Raw and derived measurement artifact paths (internal repos)",
      "Per-phase outcome tables (ceiling / http / coding / browser_standard / act)",
      "Individual prompts and provider-specific transcripts",
      "Scoring derivation steps below the dimension level",
      "Sector task grid file references when still draft"
    ]
  }
}