Merge version_1 into main #1
@@ -56,10 +56,10 @@ export default function LandingPage() {
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buttonAnimation="slide-up"
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mediaItems={[
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{ imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQPHmH2RxHB0n2SW9saFCoMMm1/a-stunning-three-js-neural-network-visua-1772526871444-f36a59cf.png", imageAlt: "Neural network visualization" },
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{ imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQPHmH2RxHB0n2SW9saFCoMMm1/a-clean-modern-interface-showing-a-data--1772526868788-9c7d753f.png", imageAlt: "Data upload interface" },
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{ imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQPHmH2RxHB0n2SW9saFCoMMm1/an-advanced-ai-recommendation-engine-int-1772526871258-734259a0.png", imageAlt: "AI recommendations" },
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{ imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQPHmH2RxHB0n2SW9saFCoMMm1/a-live-model-training-dashboard-showing--1772526871641-96b9b13a.png", imageAlt: "Model training dashboard" },
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{ imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQPHmH2RxHB0n2SW9saFCoMMm1/a-success-celebration-scene-showing-mult-1772526869473-eda91fb9.png", imageAlt: "Deployed models" },
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{ imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQPHmH2RxHB0n2SW9saFCoMMm1/a-clean-modern-interface-showing-a-data--1772526868788-9c7d753f.png?_wi=1", imageAlt: "Data upload interface" },
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{ imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQPHmH2RxHB0n2SW9saFCoMMm1/an-advanced-ai-recommendation-engine-int-1772526871258-734259a0.png?_wi=1", imageAlt: "AI recommendations" },
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{ imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQPHmH2RxHB0n2SW9saFCoMMm1/a-live-model-training-dashboard-showing--1772526871641-96b9b13a.png?_wi=1", imageAlt: "Model training dashboard" },
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{ imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQPHmH2RxHB0n2SW9saFCoMMm1/a-success-celebration-scene-showing-mult-1772526869473-eda91fb9.png?_wi=1", imageAlt: "Deployed models" },
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]}
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mediaAnimation="slide-up"
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ariaLabel="Arcliq AutoML hero section with neural network visualization"
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@@ -71,16 +71,16 @@ export default function LandingPage() {
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features={[
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{
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id: 1,
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title: "Upload Your Data", description: "Connect your CSV, Parquet, or JSON files directly. Our system automatically detects data types, handles missing values, and prepares datasets for analysis without requiring coding expertise.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQPHmH2RxHB0n2SW9saFCoMMm1/a-clean-modern-interface-showing-a-data--1772526868788-9c7d753f.png", imageAlt: "Data upload step"},
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title: "Upload Your Data", description: "Connect your CSV, Parquet, or JSON files directly. Our system automatically detects data types, handles missing values, and prepares datasets for analysis without requiring coding expertise.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQPHmH2RxHB0n2SW9saFCoMMm1/a-clean-modern-interface-showing-a-data--1772526868788-9c7d753f.png?_wi=2", imageAlt: "Data upload step"},
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{
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id: 2,
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title: "Intelligent Recommendations", description: "Arcliq's multiagent AI analyzes your data characteristics and recommends the optimal algorithms, architectures, and hyperparameters. Full transparency into why each recommendation is made.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQPHmH2RxHB0n2SW9saFCoMMm1/an-advanced-ai-recommendation-engine-int-1772526871258-734259a0.png", imageAlt: "AI recommendation engine"},
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title: "Intelligent Recommendations", description: "Arcliq's multiagent AI analyzes your data characteristics and recommends the optimal algorithms, architectures, and hyperparameters. Full transparency into why each recommendation is made.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQPHmH2RxHB0n2SW9saFCoMMm1/an-advanced-ai-recommendation-engine-int-1772526871258-734259a0.png?_wi=2", imageAlt: "AI recommendation engine"},
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{
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id: 3,
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title: "Automated Training", description: "Models are automatically tuned and trained with real-time progress monitoring. Watch accuracy metrics improve in real-time as Arcliq optimizes performance without manual intervention.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQPHmH2RxHB0n2SW9saFCoMMm1/a-live-model-training-dashboard-showing--1772526871641-96b9b13a.png", imageAlt: "Automated model training"},
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title: "Automated Training", description: "Models are automatically tuned and trained with real-time progress monitoring. Watch accuracy metrics improve in real-time as Arcliq optimizes performance without manual intervention.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQPHmH2RxHB0n2SW9saFCoMMm1/a-live-model-training-dashboard-showing--1772526871641-96b9b13a.png?_wi=2", imageAlt: "Automated model training"},
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{
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id: 4,
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title: "Deploy Instantly", description: "Export production-ready models in minutes. Get API endpoints, Docker containers, or downloadable model files. Deploy to any environment with full documentation and transparent decision logs.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQPHmH2RxHB0n2SW9saFCoMMm1/a-success-celebration-scene-showing-mult-1772526869473-eda91fb9.png", imageAlt: "Model deployment"},
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title: "Deploy Instantly", description: "Export production-ready models in minutes. Get API endpoints, Docker containers, or downloadable model files. Deploy to any environment with full documentation and transparent decision logs.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQPHmH2RxHB0n2SW9saFCoMMm1/a-success-celebration-scene-showing-mult-1772526869473-eda91fb9.png?_wi=2", imageAlt: "Model deployment"},
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]}
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title="How It Works"
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description="Arcliq's intelligent workflow transforms raw data into production-ready models in four simple steps. Experience transparency at every stage of the ML pipeline."
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@@ -127,7 +127,7 @@ export default function LandingPage() {
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title: "No ML Expertise Required", description: "Domain knowledge replaces deep ML expertise. Let our AI handle the complexity while you focus on business outcomes.", icon: CheckCircle,
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},
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]}
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imageSrc="https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQPHmH2RxHB0n2SW9saFCoMMm1/an-advanced-ai-recommendation-engine-int-1772526871258-734259a0.png"
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imageSrc="https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQPHmH2RxHB0n2SW9saFCoMMm1/an-advanced-ai-recommendation-engine-int-1772526871258-734259a0.png?_wi=3"
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imageAlt="What makes Arcliq different"
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/>
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</div>
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@@ -146,11 +146,11 @@ export default function LandingPage() {
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{
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id: "1", value: "70%", title: "Time Reduction", description: "Model development from weeks to days", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQPHmH2RxHB0n2SW9saFCoMMm1/a-split-screen-comparison-showing-tradit-1772526869713-d42ee3ba.png", imageAlt: "Time reduction metric"},
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{
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id: "2", value: "10,000+", title: "Models Trained", description: "Production-ready models deployed this year", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQPHmH2RxHB0n2SW9saFCoMMm1/a-success-celebration-scene-showing-mult-1772526869473-eda91fb9.png", imageAlt: "Models deployed"},
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id: "2", value: "10,000+", title: "Models Trained", description: "Production-ready models deployed this year", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQPHmH2RxHB0n2SW9saFCoMMm1/a-success-celebration-scene-showing-mult-1772526869473-eda91fb9.png?_wi=3", imageAlt: "Models deployed"},
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{
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id: "3", value: "99.2%", title: "Accuracy Rate", description: "Average model accuracy across all use cases", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQPHmH2RxHB0n2SW9saFCoMMm1/an-advanced-ai-recommendation-engine-int-1772526871258-734259a0.png", imageAlt: "Model accuracy"},
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id: "3", value: "99.2%", title: "Accuracy Rate", description: "Average model accuracy across all use cases", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQPHmH2RxHB0n2SW9saFCoMMm1/an-advanced-ai-recommendation-engine-int-1772526871258-734259a0.png?_wi=4", imageAlt: "Model accuracy"},
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{
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id: "4", value: "300+", title: "Companies Trusted", description: "From startups to enterprises worldwide", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQPHmH2RxHB0n2SW9saFCoMMm1/a-success-celebration-scene-showing-mult-1772526869473-eda91fb9.png", imageAlt: "Companies using Arcliq"},
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id: "4", value: "300+", title: "Companies Trusted", description: "From startups to enterprises worldwide", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AQPHmH2RxHB0n2SW9saFCoMMm1/a-success-celebration-scene-showing-mult-1772526869473-eda91fb9.png?_wi=4", imageAlt: "Companies using Arcliq"},
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]}
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/>
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</div>
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Reference in New Issue
Block a user