diff --git a/src/pages/HomePage.tsx b/src/pages/HomePage.tsx
index 20a737a..bace815 100644
--- a/src/pages/HomePage.tsx
+++ b/src/pages/HomePage.tsx
@@ -12,7 +12,8 @@ import MetricsSection from './HomePage/sections/Metrics';
 import TestimonialsSection from './HomePage/sections/Testimonials';
 import ContactSection from './HomePage/sections/Contact';
 
-export default function HomePage(): React.JSX.Element {
+
+import FaqSection from './HomePage/sections/Faq';export default function HomePage(): React.JSX.Element {
   return (
 <>
   <HeroSection />
@@ -26,6 +27,7 @@ export default function HomePage(): React.JSX.Element {
   <MetricsSection />
 
   <TestimonialsSection />
+      <FaqSection />
 
   <ContactSection />
     </>
diff --git a/src/pages/HomePage/sections/Faq.tsx b/src/pages/HomePage/sections/Faq.tsx
new file mode 100644
index 0000000..7b4988a
--- /dev/null
+++ b/src/pages/HomePage/sections/Faq.tsx
@@ -0,0 +1,57 @@
+import { motion } from "motion/react"
+import TextAnimation from "@/components/ui/TextAnimation"
+import Accordion from "@/components/ui/Accordion"
+import Tag from "@/components/ui/Tag"
+
+export default function FaqSection() {
+  const faqItems = [
+    {
+      title: "What are your core areas of AI expertise?",
+      content: "We specialize in applied artificial intelligence, machine learning, natural language processing, and predictive analytics. Our focus is on translating cutting-edge research into practical solutions for enterprise clients."
+    },
+    {
+      title: "How does a typical consulting engagement work?",
+      content: "Our typical engagement starts with a discovery phase to understand your data and objectives, followed by a proof-of-concept (PoC). Once validated, we move to full-scale development and integration."
+    },
+    {
+      title: "How do you handle data privacy and security?",
+      content: "Data privacy and security are paramount. We adhere to strict industry standards, utilize secure infrastructure, and can deploy solutions on-premise or within your private cloud to ensure your data never leaves your control."
+    },
+    {
+      title: "What is the typical timeline for an AI implementation?",
+      content: "While timelines vary based on complexity, a typical proof-of-concept takes 4-8 weeks. Full-scale implementation and integration usually span 3-6 months."
+    },
+    {
+      title: "Do you work with specific industries?",
+      content: "We work across various industries, including healthcare, finance, manufacturing, and retail. Our AI solutions are highly adaptable to specific domain challenges."
+    },
+    {
+      title: "Do you offer ongoing support after deployment?",
+      content: "Yes, we provide comprehensive post-deployment support, including model monitoring, retraining, and system maintenance to ensure your AI solutions continue to perform optimally."
+    }
+  ]
+
+  return (
+    <section data-webild-section="faq" id="faq" className="relative w-full py-24 bg-background">
+      <div className="w-content-width mx-auto">
+        <div className="flex flex-col items-center text-center mb-16">
+          <Tag text="FAQ" className="mb-6" />
+          <TextAnimation
+            text="Frequently Asked Questions"
+            variant="fade-blur"
+            gradientText={false}
+            tag="h2"
+            className="text-4xl md:text-5xl font-bold text-foreground mb-6"
+          />
+          <p className="text-lg text-accent max-w-2xl mx-auto">
+            Find answers to common questions about our AI research, consulting services, and implementation processes.
+          </p>
+        </div>
+        
+        <div className="max-w-3xl mx-auto">
+          <Accordion items={faqItems} />
+        </div>
+      </div>
+    </section>
+  )
+}
\ No newline at end of file