# O que empresas como a sua usam 57 empresas no usedby usam Cognigy com prova pública (mercado geral). T4; 33 CONFIRMED, 1 DECLARED, 23 OBSERVED, 0 SIGNAL. https://www.usedby.ai/pt/peers?category=customer-service-automation&limit=8 As contagens abrangem empresas registradas no usedby, não participação de mercado. Os quatro níveis de comprovação contam. Portes desconhecidos são excluídos apenas das visões por porte. Seus requisitos não foram avaliados. ```json { "status": "answered", "category": { "slug": "customer-service-automation", "name": "Agentes de IA para atendimento ao cliente" }, "industry": null, "size": null, "country": null, "answeringTier": "T4", "tiersTried": [ { "tier": "T1", "label": "mesmo setor e porte", "companies": 0, "tools": 0, "smallSample": true, "skipped": true, "topTools": [] }, { "tier": "T2", "label": "mesmo setor", "companies": 0, "tools": 0, "smallSample": true, "skipped": true, "topTools": [] }, { "tier": "T3", "label": "mesma família de setores", "companies": 0, "tools": 0, "smallSample": true, "skipped": true, "topTools": [] }, { "tier": "T4", "label": "mercado geral", "companies": 714, "tools": 28, "smallSample": false, "skipped": false, "topTools": [ "Cognigy", "Sierra", "Tidio" ] } ], "sample": { "companies": 714, "strongProofShare": 0.5, "sizeKnownShare": 0.453781512605042, "excludedVendorCompanies": 0 }, "tools": { "total": 28, "listed": [ { "name": "Cognigy", "slug": "cognigy", "companies": 57, "mix": { "confirmed": 33, "declared": 1, "observed": 23, "signal": 0 }, "countryCount": null, "latestCheck": "2026-10-31T06:18:50.822Z", "alreadyUses": false, "largestPeers": { "total": 37, "listed": [ { "usageId": "cmur1qwfd00e4ta1oe5mjm4sb", "company": "Skoda Auto", "slug": "skoda-auto", "proof": "CONFIRMED", "size": "MEGA", "lastCheckedAt": "2026-10-31T06:18:50.822Z", "source": { "url": "https://www.usedby.ai/claims/cmur1qwfd00e4ta1oe5mjm4sb", "method": "CASE_STUDY", "original": "https://www.cognigy.com/en/case-study/skoda-auto-saila" } }, { "usageId": "cmkibgbnr0082fjmswr53uwdg", "company": "Toyota", "slug": "toyota", "proof": "CONFIRMED", "size": "MEGA", "lastCheckedAt": "2026-10-31T06:17:21.447Z", "source": { "url": "https://www.usedby.ai/claims/cmkibgbnr0082fjmswr53uwdg", "method": "CASE_STUDY", "original": "https://www.cognigy.com/en/case-study/toyota" } }, { "usageId": "cmkibgd9x0086fjmsktw7qlql", "company": "Bosch", "slug": "bosch", "proof": "CONFIRMED", "size": "MEGA", "lastCheckedAt": "2026-10-31T06:17:21.447Z", "source": { "url": "https://www.usedby.ai/claims/cmkibgd9x0086fjmsktw7qlql", "method": "CASE_STUDY", "original": "https://www.cognigy.com/en/case-study/bosch" } } ], "overflow": 34 }, "strongProofPeers": { "total": 34, "listed": [ { "usageId": "cmur1qwfd00e4ta1oe5mjm4sb", "company": "Skoda Auto", "slug": "skoda-auto", "proof": "CONFIRMED", "size": "MEGA", "lastCheckedAt": "2026-10-31T06:18:50.822Z", "source": { "url": "https://www.usedby.ai/claims/cmur1qwfd00e4ta1oe5mjm4sb", "method": "CASE_STUDY", "original": "https://www.cognigy.com/en/case-study/skoda-auto-saila" } }, { "usageId": "cmkibgbnr0082fjmswr53uwdg", "company": "Toyota", "slug": "toyota", "proof": "CONFIRMED", "size": "MEGA", "lastCheckedAt": "2026-10-31T06:17:21.447Z", "source": { "url": "https://www.usedby.ai/claims/cmkibgbnr0082fjmswr53uwdg", "method": "CASE_STUDY", "original": "https://www.cognigy.com/en/case-study/toyota" } }, { "usageId": "cmkibgd9x0086fjmsktw7qlql", "company": "Bosch", "slug": "bosch", "proof": "CONFIRMED", "size": "MEGA", "lastCheckedAt": "2026-10-31T06:17:21.447Z", "source": { "url": "https://www.usedby.ai/claims/cmkibgd9x0086fjmsktw7qlql", "method": "CASE_STUDY", "original": "https://www.cognigy.com/en/case-study/bosch" } } ], "overflow": 31 }, "why": [ { "text": "Toyota chose Cognigy to train the AI Agents they envisioned. They adopted a platform strategy that enables them to cover multiple use cases and automate communications across different channels.", "sourceUrl": "https://www.cognigy.com/en/case-study/toyota", "sourceLang": "en", "field": "highlightText", "usageId": "cmkibgbnr0082fjmswr53uwdg", "company": { "name": "Toyota", "slug": "toyota" } }, { "text": "In three months alone, the solution generated $24,000 in cost savings by drastically reducing support volume.", "sourceUrl": "https://www.cognigy.com/en/case-study/bosch-mobility", "sourceLang": "en", "field": "highlightText", "usageId": "cmkibgd9x0086fjmsktw7qlql", "company": { "name": "Bosch", "slug": "bosch" } } ], "momentum": { "status": "available", "windowDays": 90, "companies": 1, "signalCompanies": 0, "basis": "public_proof_arrival" }, "reasonStatus": "published" }, { "name": "Sierra", "slug": "sierra", "companies": 55, "mix": { "confirmed": 35, "declared": 0, "observed": 20, "signal": 0 }, "countryCount": null, "latestCheck": "2026-10-31T06:35:45.071Z", "alreadyUses": false, "largestPeers": { "total": 33, "listed": [ { "usageId": "cmups3mco00cesuxvks3bh7q3", "company": "Rocket Mortgage", "slug": "rocket-mortgage", "proof": "CONFIRMED", "size": "MEGA", "lastCheckedAt": "2026-10-31T06:35:30.108Z", "source": { "url": "https://www.usedby.ai/claims/cmups3mco00cesuxvks3bh7q3", "method": "CASE_STUDY", "original": "https://sierra.ai/customers/rocket-mortgage" } }, { "usageId": "cmups3p0700clsuxvxb9hp5ey", "company": "SoftBank", "slug": "softbank", "proof": "CONFIRMED", "size": "MEGA", "lastCheckedAt": "2026-10-31T06:35:15.212Z", "source": { "url": "https://www.usedby.ai/claims/cmups3p0700clsuxvxb9hp5ey", "method": "CASE_STUDY", "original": "https://sierra.ai/customers/softbank" } }, { "usageId": "cmups492n00e0suxvqgdsl7b9", "company": "CarMax", "slug": "carmax", "proof": "CONFIRMED", "size": "MEGA", "lastCheckedAt": "2026-10-31T06:35:15.212Z", "source": { "url": "https://www.usedby.ai/claims/cmups492n00e0suxvqgdsl7b9", "method": "CASE_STUDY", "original": "https://sierra.ai/customers/carmax" } } ], "overflow": 30 }, "strongProofPeers": { "total": 35, "listed": [ { "usageId": "cmups3o3200cisuxvlonkov3p", "company": "Singtel", "slug": "singtel", "proof": "CONFIRMED", "size": null, "lastCheckedAt": "2026-10-31T06:35:45.071Z", "source": { "url": "https://www.usedby.ai/claims/cmups3o3200cisuxvlonkov3p", "method": "CASE_STUDY", "original": "https://sierra.ai/customers/singtel" } }, { "usageId": "cmups6b1700g7suxvqgjfcpto", "company": "ecoATM", "slug": "ecoatm", "proof": "CONFIRMED", "size": "MEDIUM", "lastCheckedAt": "2026-10-31T06:35:45.071Z", "source": { "url": "https://www.usedby.ai/claims/cmups6b1700g7suxvqgjfcpto", "method": "CASE_STUDY", "original": "https://sierra.ai/customers/singtel" } }, { "usageId": "cmups73rb00hbsuxv5krwia56", "company": "OluKai", "slug": "olukai", "proof": "CONFIRMED", "size": "SMALL", "lastCheckedAt": "2026-10-31T06:35:45.071Z", "source": { "url": "https://www.usedby.ai/claims/cmups73rb00hbsuxv5krwia56", "method": "CASE_STUDY", "original": "https://sierra.ai/customers/singtel" } } ], "overflow": 32 }, "why": [ { "text": "Within the first month, Echo was handling more than 30% of inbound calls—now stably in the mid-30% range, more than double what ecoATM expected. That translated into significant savings.", "sourceUrl": "https://sierra.ai/customers/ecoatm", "sourceLang": "en-us", "field": "highlightText", "usageId": "cmups6b1700g7suxvqgjfcpto", "company": { "name": "ecoATM", "slug": "ecoatm" } }, { "text": "Finally, OluKai measures the resolution rate of the AI Agent. Approximately 70% of the time the OluKai AI Agent is able to resolve a ticket or inquiry without human intervention.", "sourceUrl": "https://sierra.ai/customers/olukai", "sourceLang": "en-us", "field": "highlightText", "usageId": "cmups73rb00hbsuxv5krwia56", "company": { "name": "OluKai", "slug": "olukai" } } ], "momentum": { "status": "available", "windowDays": 90, "companies": 4, "signalCompanies": 0, "basis": "public_proof_arrival" }, "reasonStatus": "published" }, { "name": "Tidio", "slug": "tidio", "companies": 50, "mix": { "confirmed": 41, "declared": 0, "observed": 9, "signal": 0 }, "countryCount": null, "latestCheck": "2026-10-30T18:11:51.036Z", "alreadyUses": false, "largestPeers": { "total": 20, "listed": [ { "usageId": "cmjzgcspv00kn569kcsq9wyb9", "company": "ADT", "slug": "adt", "proof": "OBSERVED", "size": "MEGA", "lastCheckedAt": "2026-10-30T18:11:05.733Z", "source": { "url": "https://www.usedby.ai/claims/cmjzgcspv00kn569kcsq9wyb9", "method": "LOGO_WALL", "original": "https://www.tidio.com/fr/" } }, { "usageId": "cmjzgcudu00kr569knps304aw", "company": "Under Armour", "slug": "under-armour", "proof": "OBSERVED", "size": "MEGA", "lastCheckedAt": "2026-10-30T18:11:05.733Z", "source": { "url": "https://www.usedby.ai/claims/cmjzgcudu00kr569knps304aw", "method": "LOGO_WALL", "original": "https://www.tidio.com/fr/" } }, { "usageId": "cmjzgclx700k7569k2yr31o4c", "company": "Lacoste", "slug": "lacoste", "proof": "OBSERVED", "size": "ENTERPRISE", "lastCheckedAt": null, "source": { "url": "https://www.usedby.ai/claims/cmjzgclx700k7569k2yr31o4c", "method": "LOGO_WALL", "original": "https://www.tidio.com/fr//customers" } } ], "overflow": 17 }, "strongProofPeers": { "total": 41, "listed": [ { "usageId": "cmjzgctjv00kp569kq7l58ntr", "company": "Endeksa", "slug": "endeksa", "proof": "CONFIRMED", "size": "SMALL", "lastCheckedAt": "2026-10-30T18:11:51.036Z", "source": { "url": "https://www.usedby.ai/claims/cmjzgctjv00kp569kq7l58ntr", "method": "CASE_STUDY", "original": "https://www.tidio.com/customers/endeksa/" } }, { "usageId": "cmusumqxc0075sx1o7rp88vmk", "company": "Cove", "slug": "cove", "proof": "CONFIRMED", "size": null, "lastCheckedAt": "2026-10-30T18:11:35.503Z", "source": { "url": "https://www.usedby.ai/claims/cmusumqxc0075sx1o7rp88vmk", "method": "CASE_STUDY", "original": "https://www.tidio.com/customers/cove/" } }, { "usageId": "cmusumta9007isx1o4xq4u0bs", "company": "Procosmet", "slug": "procosmet", "proof": "CONFIRMED", "size": null, "lastCheckedAt": "2026-10-30T18:11:20.475Z", "source": { "url": "https://www.usedby.ai/claims/cmusumta9007isx1o4xq4u0bs", "method": "CASE_STUDY", "original": "https://www.tidio.com/customers/procosmet/" } } ], "overflow": 38 }, "why": [ { "text": "The company used to gather about 10-30 leads per month with the previous customer service software provider. This number increased to over 100 prospects on a monthly basis with an 18-22% email open rate.", "sourceUrl": "https://www.tidio.com/customers/procosmet/", "sourceLang": "en", "field": "highlightText", "usageId": "cmusumta9007isx1o4xq4u0bs", "company": { "name": "Procosmet", "slug": "procosmet" } }, { "text": "French macaron startup Pastreez used Tidio’s chat system to secure corporate partnerships with Netflix, Google, Visa, and Snapchat while converting 70% of chat inquiries into orders.", "sourceUrl": "https://www.tidio.com/customers/pastreez/", "sourceLang": "en", "field": "highlightText", "usageId": "cmusunllz009rsx1og0bn30gf", "company": { "name": "Pastreez", "slug": "pastreez" } } ], "momentum": { "status": "available", "windowDays": 90, "companies": 0, "signalCompanies": 0, "basis": "public_proof_arrival" }, "reasonStatus": "published" }, { "name": "Decagon", "slug": "decagon", "companies": 44, "mix": { "confirmed": 21, "declared": 0, "observed": 23, "signal": 0 }, "countryCount": null, "latestCheck": "2026-10-30T06:24:43.661Z", "alreadyUses": false, "largestPeers": { "total": 24, "listed": [ { "usageId": "cmupu7qt30032q41o5q5fjpar", "company": "Mercado Libre", "slug": "mercado-libre", "proof": "CONFIRMED", "size": "MEGA", "lastCheckedAt": "2026-10-30T06:23:07.615Z", "source": { "url": "https://www.usedby.ai/claims/cmupu7qt30032q41o5q5fjpar", "method": "CASE_STUDY", "original": "https://decagon.ai/case-studies/mercado-libre" } }, { "usageId": "cmupu7x66003sq41oruje3i66", "company": "Hertz", "slug": "hertz", "proof": "CONFIRMED", "size": "MEGA", "lastCheckedAt": "2026-10-30T06:23:07.615Z", "source": { "url": "https://www.usedby.ai/claims/cmupu7x66003sq41oruje3i66", "method": "CASE_STUDY", "original": "https://decagon.ai/case-studies/mercado-libre" } }, { "usageId": "cmupu7p0v002tq41o9oxoqkfi", "company": "Deutsche Telekom", "slug": "deutsche-telekom", "proof": "OBSERVED", "size": "MEGA", "lastCheckedAt": "2026-10-30T06:22:52.575Z", "source": { "url": "https://www.usedby.ai/claims/cmupu7p0v002tq41o9oxoqkfi", "method": "LOGO_WALL", "original": "https://decagon.ai/case-studies" } } ], "overflow": 21 }, "strongProofPeers": { "total": 21, "listed": [ { "usageId": "cmvul7437004dst0du0amd7uh", "company": "Madison Reed", "slug": "madison-reed", "proof": "CONFIRMED", "size": null, "lastCheckedAt": "2026-10-30T06:24:43.661Z", "source": { "url": "https://www.usedby.ai/claims/cmvul7437004dst0du0amd7uh", "method": "CASE_STUDY", "original": "https://decagon.ai/case-studies/madison-reed" } }, { "usageId": "cmupu7tum003fq41o83telnzc", "company": "Notion", "slug": "notion", "proof": "CONFIRMED", "size": null, "lastCheckedAt": "2026-10-30T06:23:22.797Z", "source": { "url": "https://www.usedby.ai/claims/cmupu7tum003fq41o83telnzc", "method": "CASE_STUDY", "original": "https://decagon.ai/case-studies/notion" } }, { "usageId": "cmupu88a7004nq41oegsm9neb", "company": "Rituals", "slug": "rituals", "proof": "CONFIRMED", "size": null, "lastCheckedAt": "2026-10-30T06:23:22.797Z", "source": { "url": "https://www.usedby.ai/claims/cmupu88a7004nq41oegsm9neb", "method": "CASE_STUDY", "original": "https://decagon.ai/case-studies/notion" } } ], "overflow": 18 }, "why": [ { "text": "Madi has become a meaningful driver of revenue, lifting appointment conversion rates 4x and saving 25% more cancellation attempts. Customers who complete the Color Quiz through Madi are purchasing their recommended shades within a week", "sourceUrl": "https://decagon.ai/case-studies/madison-reed", "sourceLang": "en", "field": "highlightText", "usageId": "cmvul7437004dst0du0amd7uh", "company": { "name": "Madison Reed", "slug": "madison-reed" } }, { "text": "The first major impact of implementing Decagon was ticket resolution time improved up to 34%. With intelligent routing ensuring customers reached the right expert faster, misrouted tickets and unnecessary escalations became a thing of the past.", "sourceUrl": "https://decagon.ai/case-studies/notion", "sourceLang": "en", "field": "highlightText", "usageId": "cmupu7tum003fq41o83telnzc", "company": { "name": "Notion", "slug": "notion" } } ], "momentum": { "status": "available", "windowDays": 90, "companies": 2, "signalCompanies": 0, "basis": "public_proof_arrival" }, "reasonStatus": "published" }, { "name": "Siena AI", "slug": "siena-ai", "companies": 43, "mix": { "confirmed": 18, "declared": 0, "observed": 25, "signal": 0 }, "countryCount": null, "latestCheck": "2026-11-02T06:12:45.910Z", "alreadyUses": false, "largestPeers": { "total": 2, "listed": [], "overflow": 2 }, "strongProofPeers": { "total": 18, "listed": [ { "usageId": "cmvra5a900001sa375pfd6afl", "company": "Spanx", "slug": "spanx", "proof": "CONFIRMED", "size": null, "lastCheckedAt": "2026-11-02T06:12:45.910Z", "source": { "url": "https://www.usedby.ai/claims/cmvra5a900001sa375pfd6afl", "method": "CASE_STUDY", "original": "https://www.siena.cx/customer-stories/hexclad-customer-service-automation" } } ], "overflow": 17 }, "why": [], "momentum": { "status": "available", "windowDays": 90, "companies": 0, "signalCompanies": 0, "basis": "public_proof_arrival" }, "reasonStatus": "reason_not_published" }, { "name": "LivePerson", "slug": "live-person", "companies": 42, "mix": { "confirmed": 14, "declared": 0, "observed": 28, "signal": 0 }, "countryCount": null, "latestCheck": "2026-11-04T06:26:22.142Z", "alreadyUses": false, "largestPeers": { "total": 25, "listed": [], "overflow": 25 }, "strongProofPeers": { "total": 14, "listed": [], "overflow": 14 }, "why": [], "momentum": { "status": "available", "windowDays": 90, "companies": 0, "signalCompanies": 0, "basis": "public_proof_arrival" }, "reasonStatus": "reason_not_published" }, { "name": "Gupshup", "slug": "gupshup", "companies": 35, "mix": { "confirmed": 26, "declared": 0, "observed": 9, "signal": 0 }, "countryCount": null, "latestCheck": "2026-10-30T18:20:55.941Z", "alreadyUses": false, "largestPeers": { "total": 12, "listed": [], "overflow": 12 }, "strongProofPeers": { "total": 26, "listed": [], "overflow": 26 }, "why": [], "momentum": { "status": "available", "windowDays": 90, "companies": 1, "signalCompanies": 0, "basis": "public_proof_arrival" }, "reasonStatus": "reason_not_published" }, { "name": "Ada", "slug": "ada", "companies": 34, "mix": { "confirmed": 20, "declared": 1, "observed": 13, "signal": 0 }, "countryCount": null, "latestCheck": "2026-10-31T06:20:03.607Z", "alreadyUses": false, "largestPeers": { "total": 18, "listed": [], "overflow": 18 }, "strongProofPeers": { "total": 21, "listed": [], "overflow": 21 }, "why": [], "momentum": { "status": "available", "windowDays": 90, "companies": 1, "signalCompanies": 0, "basis": "public_proof_arrival" }, "reasonStatus": "reason_not_published" } ], "overflow": 20 }, "alreadyUses": [], "alreadyUsesTotal": 0, "alreadyUsesOverflow": 0, "seeAlso": { "tool": "shortlist_tools", "task": "support-resolution" }, "summary": "57 empresas no usedby usam Cognigy com prova pública (mercado geral). T4; 33 CONFIRMED, 1 DECLARED, 23 OBSERVED, 0 SIGNAL. https://www.usedby.ai/pt/peers?category=customer-service-automation&limit=8", "compareUrl": "https://www.usedby.ai/pt/compare/cognigy-vs-sierra", "limitations": [ "Os usos públicos no usedby não representam participação de mercado nem recomendações. Os requisitos não são avaliados.", "Portes desconhecidos são excluídos da visão das maiores empresas. Nenhum uso é ocultado por sua idade.", "T1 é ignorado porque o porte da empresa é desconhecido.", "O setor é desconhecido; são mostrados dados do mercado geral." ], "source": { "url": "https://www.usedby.ai/pt/peers?category=customer-service-automation&limit=8", "terms": "https://www.usedby.ai/terms", "citation": "Source: usedby, https://www.usedby.ai/pt/peers?category=customer-service-automation&limit=8" } } ```