diff --git a/qdrant-landing/content/customers/case-study-4.md b/qdrant-landing/content/customers/case-study-dailymotion.md
similarity index 76%
rename from qdrant-landing/content/customers/case-study-4.md
rename to qdrant-landing/content/customers/case-study-dailymotion.md
index bb0d3ca97..207bb2b7f 100644
--- a/qdrant-landing/content/customers/case-study-4.md
+++ b/qdrant-landing/content/customers/case-study-dailymotion.md
@@ -1,10 +1,8 @@
 ---
-title: Customers
-description: Learn how Qdrant powers thousands of top AI solutions that require vector search with unparalleled efficiency, performance and massive-scale data processing.
 caseStudy:
   logo:
     src: /img/customers-case-studies/customer-logo4.svg
-    alt: Logo
+    alt: Logo Dailymotion
   title: Recommendation Engine with Qdrant Vector Database
   description: Dailymotion leverages Qdrant to optimize its <b>video recommendation engine</b>, managing over 420 million videos and processing 13 million recommendations daily. With this, Dailymotion was able to <b>reduced content processing times from hours to minutes</b> and <b>increased user interactions and click-through rates by more than 3x.</b>
   link:
diff --git a/qdrant-landing/content/customers/case-study-hubspot.md b/qdrant-landing/content/customers/case-study-hubspot.md
new file mode 100644
index 000000000..e7c035873
--- /dev/null
+++ b/qdrant-landing/content/customers/case-study-hubspot.md
@@ -0,0 +1,15 @@
+---
+caseStudy:
+  logo:
+    src: /img/customers-case-studies/hubspot-logo.svg
+    alt: Logo
+  title: "HubSpot & Qdrant: Scaling an Intelligent AI Assistant"
+  description: HubSpot selected Qdrant because it significantly outperformed alternatives, ensuring that Breeze AI could quickly retrieve and rank relevant data. This was crucial for recommendation systems and contextual content retrieval, where speed and accuracy directly impact user engagement and satisfaction.
+  link:
+    text: Read Case Study
+    url: /blog/case-study-hubspot/
+  image:
+    src: /img/customers-case-studies/case-study-hubspot.png
+    alt: Preview
+sitemapExclude: true
+---
diff --git a/qdrant-landing/content/customers/case-study-3.md b/qdrant-landing/content/customers/case-study-nyris.md
similarity index 75%
rename from qdrant-landing/content/customers/case-study-3.md
rename to qdrant-landing/content/customers/case-study-nyris.md
index b6c62cdf4..19f6e6f55 100644
--- a/qdrant-landing/content/customers/case-study-3.md
+++ b/qdrant-landing/content/customers/case-study-nyris.md
@@ -1,10 +1,8 @@
 ---
-title: Customers
-description: Learn how Qdrant powers thousands of top AI solutions that require vector search with unparalleled efficiency, performance and massive-scale data processing.
 caseStudy:
   logo:
     src: /img/customers-case-studies/customer-logo3.svg
-    alt: Logo
+    alt: Logo Nyris
   title: "Nyris & Qdrant: How Vectors are the Future of Visual Search"
   description: Nyris offers visual search solutions for various industries, using vector-based technology to quickly identify products. They selected Qdrant for its speed, accuracy, and scalability, advancing their vision of transforming product search with unified vector representations.
   link:
diff --git a/qdrant-landing/content/customers/case-study-1.md b/qdrant-landing/content/customers/case-study-sprinklr.md
similarity index 76%
rename from qdrant-landing/content/customers/case-study-1.md
rename to qdrant-landing/content/customers/case-study-sprinklr.md
index 0af88233a..2c431f0e2 100644
--- a/qdrant-landing/content/customers/case-study-1.md
+++ b/qdrant-landing/content/customers/case-study-sprinklr.md
@@ -1,10 +1,8 @@
 ---
-title: Customers
-description: Learn how Qdrant powers thousands of top AI solutions that require vector search with unparalleled efficiency, performance and massive-scale data processing.
 caseStudy:
   logo:
     src: /img/customers-case-studies/customer-logo1.svg
-    alt: Logo
+    alt: Logo Sprinklr
   title: How Sprinklr Leverages Qdrant to Enhance AI-Driven Customer Experience Solutions
   description: Sprinklr uses Qdrant to enhance its AI-driven customer experience management platform, improving data retrieval speed, efficiency, and <b>reducing costs by 30%</b>. This integration has also boosted developer productivity and ensured superior search performance across their AI applications.
   link:
diff --git a/qdrant-landing/content/customers/case-study-0.md b/qdrant-landing/content/customers/case-study-telekom.md
similarity index 75%
rename from qdrant-landing/content/customers/case-study-0.md
rename to qdrant-landing/content/customers/case-study-telekom.md
index 4abf3c2b9..1766d0fde 100644
--- a/qdrant-landing/content/customers/case-study-0.md
+++ b/qdrant-landing/content/customers/case-study-telekom.md
@@ -1,10 +1,8 @@
 ---
-title: Customers
-description: Learn how Qdrant powers thousands of top AI solutions that require vector search with unparalleled efficiency, performance and massive-scale data processing.
 caseStudy:
   logo:
     src: /img/customers-case-studies/customer-logo0.svg
-    alt: Logo
+    alt: Logo Deutsche Telekom
   title: How Deutsche Telekom Built a Multi-Agent Enterprise Platform Leveraging Qdrant
   description: Deutsche Telekom leveraged Qdrant to build an AI Agent Platform powering their multi-agent PaaS (LMOS), enabling scalable AI deployment across 10 European subsidiaries, supporting over 2 million conversations, and reducing agent development time from 15 days to just 2.
   link:
diff --git a/qdrant-landing/content/customers/case-study-2.md b/qdrant-landing/content/customers/case-study-voiceflow.md
similarity index 75%
rename from qdrant-landing/content/customers/case-study-2.md
rename to qdrant-landing/content/customers/case-study-voiceflow.md
index 2833a5468..3a844f85c 100644
--- a/qdrant-landing/content/customers/case-study-2.md
+++ b/qdrant-landing/content/customers/case-study-voiceflow.md
@@ -1,10 +1,8 @@
 ---
-title: Customers
-description: Learn how Qdrant powers thousands of top AI solutions that require vector search with unparalleled efficiency, performance and massive-scale data processing.
 caseStudy:
   logo:
     src: /img/customers-case-studies/customer-logo2.svg
-    alt: Logo
+    alt: Logo Voiceflow
   title: "Voiceflow & Qdrant: Powering No-Code AI Agent Creation with Scalable Vector Search"
   description: Voiceflow enables enterprises to create AI agents in a no-code environment by designing workflows. Qdrant's features and infrastructure provided Voiceflow with a stable, scalable, and efficient solution for their data processing and retrieval needs.
   link:
diff --git a/qdrant-landing/themes/qdrant-2024/layouts/customers/list.html b/qdrant-landing/themes/qdrant-2024/layouts/customers/list.html
index b5876ab78..806320f44 100644
--- a/qdrant-landing/themes/qdrant-2024/layouts/customers/list.html
+++ b/qdrant-landing/themes/qdrant-2024/layouts/customers/list.html
@@ -6,7 +6,7 @@
 
   <section class="bg-mid-gray pt-6">
     <div class="container">
-      {{ with (.Site.GetPage "/customers/case-study-0") }}
+      {{ with (.Site.GetPage "/customers/case-study-hubspot") }}
         {{ partial "case-study" . }}
       {{ end }}
     </div>
@@ -23,7 +23,7 @@
 
   <section class="bg-mid-gray pt-6">
     <div class="container">
-      {{ with (.Site.GetPage "/customers/case-study-1") }}
+      {{ with (.Site.GetPage "/customers/case-study-telekom") }}
         {{ partial "case-study" . }}
       {{ end }}
     </div>
@@ -37,6 +37,15 @@
     {{ partial "logo-cards" . }}
   {{ end }}
 
+
+  <section class="bg-mid-gray pt-6">
+    <div class="container">
+      {{ with (.Site.GetPage "/customers/case-study-sprinklr") }}
+        {{ partial "case-study" . }}
+      {{ end }}
+    </div>
+  </section>
+
   {{ with (.Site.GetPage "/customers/case-studies-1") }}
     {{ partial "customers-case-studies" . }}
   {{ end }}
@@ -44,7 +53,7 @@
 
   <section class="bg-mid-gray pt-6">
     <div class="container">
-      {{ with (.Site.GetPage "/customers/case-study-2") }}
+      {{ with (.Site.GetPage "/customers/case-study-voiceflow") }}
         {{ partial "case-study" . }}
       {{ end }}
     </div>
@@ -61,7 +70,7 @@
 
   <section class="bg-mid-gray pt-6">
     <div class="container">
-      {{ with (.Site.GetPage "/customers/case-study-3") }}
+      {{ with (.Site.GetPage "/customers/case-study-nyris") }}
         {{ partial "case-study" . }}
       {{ end }}
     </div>
@@ -75,19 +84,19 @@
     {{ partial "logo-cards" . }}
   {{ end }}
 
-  {{ with (.Site.GetPage "/customers/case-studies-2") }}
-    {{ partial "customers-case-studies" . }}
-  {{ end }}
-
 
   <section class="bg-mid-gray pt-6">
     <div class="container">
-      {{ with (.Site.GetPage "/customers/case-study-4") }}
+      {{ with (.Site.GetPage "/customers/case-study-dailymotion") }}
         {{ partial "case-study" . }}
       {{ end }}
     </div>
   </section>
 
+  {{ with (.Site.GetPage "/customers/case-studies-2") }}
+    {{ partial "customers-case-studies" . }}
+  {{ end }}
+
   {{ partial "customers-vector-space-wall" . }}
 
   {{ partial "get-started" . }}
diff --git a/qdrant-landing/themes/qdrant-2024/static/img/customers-case-studies/case-study-hubspot.png b/qdrant-landing/themes/qdrant-2024/static/img/customers-case-studies/case-study-hubspot.png
new file mode 100644
index 000000000..cb530815e
Binary files /dev/null and b/qdrant-landing/themes/qdrant-2024/static/img/customers-case-studies/case-study-hubspot.png differ
diff --git a/qdrant-landing/themes/qdrant-2024/static/img/customers-case-studies/hubspot-logo.svg b/qdrant-landing/themes/qdrant-2024/static/img/customers-case-studies/hubspot-logo.svg
new file mode 100644
index 000000000..f62612995
--- /dev/null
+++ b/qdrant-landing/themes/qdrant-2024/static/img/customers-case-studies/hubspot-logo.svg
@@ -0,0 +1,6 @@
+<svg width="120" height="64" viewBox="0 0 120 64" fill="none" xmlns="http://www.w3.org/2000/svg">
+<g id="Customer-Logo">
+<path id="Vector" d="M18.48 21.858V30.333H10.694V21.858H7V42.089H10.695V33.889H18.479V42.089H22.175V21.858H18.48ZM34.002 35.55C34.002 36.3609 33.6799 37.1386 33.1065 37.7119C32.5331 38.2853 31.7554 38.6075 30.9445 38.6075C30.1336 38.6075 29.3559 38.2853 28.7825 37.7119C28.2091 37.1386 27.887 36.3609 27.887 35.55V26.884H24.382V35.55C24.382 37.2887 25.0727 38.9563 26.3022 40.1858C27.5317 41.4153 29.1992 42.106 30.938 42.106C32.6768 42.106 34.3443 41.4153 35.5738 40.1858C36.8033 38.9563 37.494 37.2887 37.494 35.55V26.884H34.002V35.55ZM59.973 27.777C59.973 26 61.148 25.437 62.435 25.437C63.473 25.437 64.843 26.227 65.74 27.185L68.035 24.479C66.889 22.929 64.565 21.858 62.662 21.858C58.859 21.858 56.109 24.085 56.109 27.777C56.109 34.627 64.481 32.453 64.481 36.287C64.481 37.469 63.333 38.513 62.019 38.513C59.946 38.513 59.274 37.5 58.322 36.428L55.774 39.077C57.404 41.077 59.414 42.093 61.821 42.093C65.434 42.093 68.34 39.839 68.34 36.315C68.34 28.711 59.967 31.074 59.967 27.777M111.767 38.857C109.696 38.857 109.107 37.961 109.107 36.589V30.514H112.327V27.436H109.107V23.375L105.553 24.97V37.344C105.553 40.509 107.737 42.104 110.731 42.104C111.201 42.112 111.671 42.074 112.133 41.992L113 38.8C112.609 38.827 112.16 38.854 111.767 38.854M47.344 26.985C45.608 26.985 44.396 27.489 43.224 28.638V21.979H39.714V34.322C39.714 38.942 43.054 42.108 46.808 42.108C50.972 42.108 54.635 38.886 54.635 34.548C54.635 30.264 51.264 26.988 47.344 26.988M47.322 38.575C46.7989 38.575 46.2809 38.4719 45.7976 38.2717C45.3143 38.0716 44.8751 37.7781 44.5052 37.4082C44.1353 37.0383 43.8419 36.5992 43.6417 36.1159C43.4415 35.6326 43.3385 35.1146 43.3385 34.5915C43.3385 34.0684 43.4415 33.5504 43.6417 33.0671C43.8419 32.5838 44.1353 32.1446 44.5052 31.7747C44.8751 31.4048 45.3143 31.1114 45.7976 30.9112C46.2809 30.711 46.7989 30.608 47.322 30.608C48.3785 30.608 49.3917 31.0277 50.1388 31.7747C50.8858 32.5218 51.3055 33.535 51.3055 34.5915C51.3055 35.648 50.8858 36.6612 50.1388 37.4082C49.3917 38.1553 48.3785 38.575 47.322 38.575ZM85.464 34.364C85.464 30.018 81.809 26.804 77.637 26.804C73.884 26.804 70.543 29.969 70.543 34.59V46.94H74.053V40.272C75.223 41.419 76.437 41.925 78.171 41.925C82.091 41.925 85.464 38.649 85.464 34.364ZM82.14 34.32C82.14 35.3765 81.7203 36.3897 80.9733 37.1367C80.2262 37.8838 79.213 38.3035 78.1565 38.3035C77.1 38.3035 76.0868 37.8838 75.3397 37.1367C74.5927 36.3897 74.173 35.3765 74.173 34.32C74.173 33.2635 74.5927 32.2503 75.3397 31.5032C76.0868 30.7562 77.1 30.3365 78.1565 30.3365C79.213 30.3365 80.2262 30.7562 80.9733 31.5032C81.7203 32.2503 82.14 33.2635 82.14 34.32Z" fill="white"/>
+<path id="Vector_2" d="M96.8079 26.634V23.107C97.274 22.8891 97.6686 22.5434 97.9459 22.11C98.2231 21.6766 98.3716 21.1734 98.3739 20.659V20.578C98.3739 19.078 97.1579 17.862 95.6579 17.862H95.5769C94.8566 17.862 94.1658 18.1481 93.6564 18.6575C93.1471 19.1668 92.8609 19.8576 92.8609 20.578V20.659C92.8633 21.1734 93.0118 21.6766 93.289 22.11C93.5662 22.5434 93.9609 22.8891 94.4269 23.107V26.634C93.0874 26.8391 91.8258 27.3945 90.7699 28.244L81.0969 20.71C81.1659 20.461 81.2019 20.205 81.2059 19.948C81.2071 19.3427 81.0288 18.7506 80.6934 18.2467C80.3581 17.7428 79.8808 17.3496 79.322 17.117C78.7632 16.8844 78.148 16.8227 77.5541 16.9397C76.9602 17.0568 76.4144 17.3474 75.9857 17.7747C75.557 18.202 75.2647 18.7468 75.1457 19.3403C75.0267 19.9338 75.0863 20.5492 75.3172 21.1088C75.548 21.6684 75.9395 22.1469 76.4424 22.4839C76.9452 22.8209 77.5366 23.0012 78.1419 23.002C78.6715 22.9995 79.1911 22.8581 79.6489 22.592L89.1739 30.004C88.3183 31.2966 87.8719 32.8171 87.8929 34.3672C87.914 35.9172 88.4015 37.425 89.2919 38.694L86.3949 41.592C86.1608 41.5171 85.9168 41.4773 85.6709 41.474C85.1741 41.4744 84.6885 41.622 84.2755 41.8983C83.8626 42.1746 83.5408 42.5671 83.3508 43.0262C83.1609 43.4853 83.1113 43.9904 83.2083 44.4777C83.3053 44.965 83.5446 45.4126 83.896 45.7639C84.2473 46.1152 84.6949 46.3545 85.1822 46.4516C85.6695 46.5486 86.1746 46.499 86.6337 46.309C87.0928 46.1191 87.4853 45.7973 87.7616 45.3844C88.0379 44.9714 88.1855 44.4858 88.1859 43.989C88.1827 43.7431 88.1429 43.4991 88.0679 43.265L90.9339 40.398C91.8685 41.1175 92.9554 41.6135 94.1113 41.8481C95.2672 42.0826 96.4615 42.0495 97.6026 41.7512C98.7437 41.453 99.8014 40.8975 100.695 40.1273C101.588 39.3571 102.293 38.3926 102.756 37.3078C103.219 36.223 103.427 35.0466 103.366 33.8688C103.304 32.6909 102.973 31.5429 102.399 30.5126C101.825 29.4823 101.022 28.5971 100.053 27.9248C99.0842 27.2525 97.974 26.811 96.8079 26.634ZM95.6199 38.234C95.0903 38.2485 94.563 38.1568 94.0694 37.9642C93.5758 37.7715 93.1258 37.4819 92.746 37.1124C92.3662 36.7429 92.0644 36.3011 91.8582 35.813C91.6521 35.3248 91.5459 34.8003 91.5459 34.2705C91.5459 33.7406 91.6521 33.2161 91.8582 32.728C92.0644 32.2398 92.3662 31.798 92.746 31.4285C93.1258 31.059 93.5758 30.7694 94.0694 30.5768C94.563 30.3841 95.0903 30.2924 95.6199 30.307C96.6465 30.3429 97.6191 30.7759 98.3328 31.5146C99.0465 32.2534 99.4457 33.2403 99.4462 34.2675C99.4467 35.2947 99.0485 36.2821 98.3356 37.0215C97.6226 37.761 96.6505 38.195 95.6239 38.232" fill="white"/>
+</g>
+</svg>