Merge version_1 into main #2

Merged
bender merged 1 commits from version_1 into main 2026-03-04 11:25:29 +00:00

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@@ -21,7 +21,7 @@ export default function LandingPage() {
borderRadius="pill"
contentWidth="mediumLarge"
sizing="largeSizeMediumTitles"
background="noise"
background="circleGradient"
cardStyle="gradient-mesh"
primaryButtonStyle="radial-glow"
secondaryButtonStyle="layered"
@@ -50,7 +50,7 @@ export default function LandingPage() {
tag="Powered by Multi-Agent AI"
tagIcon={Zap}
tagAnimation="slide-up"
background={{ variant: "noise" }}
background={{ variant: "glowing-orb" }}
buttons={[
{ text: "Start Free Trial", href: "https://app.arcliq.ai/trial" },
{ text: "Watch Demo", href: "#demo" }
@@ -70,7 +70,7 @@ export default function LandingPage() {
description="Our multi-agent architecture orchestrates specialized AI agents that collaborate seamlessly to transform raw data into production-ready models."
tag="The Process"
tagIcon={Cpu}
tagAnimation="entrance-slide"
tagAnimation="slide-up"
features={[
{
id: "1", title: "Data Profiling Agent", description: "Automatically analyzes your dataset structure, identifies patterns, detects anomalies, and generates comprehensive exploratory data analysis (EDA) without manual intervention.", media: {
@@ -85,7 +85,7 @@ export default function LandingPage() {
},
{
id: "2", title: "Algorithm Recommendation Agent", description: "Intelligently recommends suitable ML and deep learning algorithms based on your data characteristics, problem type, and performance objectives.", media: {
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3ATjAPMbMko7wXq9imjOmVfXbYW/multi-agent-ai-system-visualization-show-1772623392024-e0319dc4.png?_wi=1"
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3ATjAPMbMko7wXq9imjOmVfXbYW/multi-agent-ai-system-visualization-show-1772623392024-e0319dc4.png"
},
items: [
{ icon: Brain, text: "Smart algorithm selection" },
@@ -96,7 +96,7 @@ export default function LandingPage() {
},
{
id: "3", title: "Hyperparameter Optimization Agent", description: "Optimizes model parameters intelligently using advanced resource allocation instead of brute-force tuning, delivering peak performance with minimal computational waste.", media: {
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3ATjAPMbMko7wXq9imjOmVfXbYW/multi-agent-ai-system-visualization-show-1772623392024-e0319dc4.png?_wi=2"
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3ATjAPMbMko7wXq9imjOmVfXbYW/multi-agent-ai-system-visualization-show-1772623392024-e0319dc4.png"
},
items: [
{ icon: Settings, text: "Smart parameter tuning" },
@@ -129,12 +129,12 @@ export default function LandingPage() {
description="Unlike black-box AutoML tools, Arcliq reveals why each model was chosen, how it's optimized, and what your data reveals. Built on a transparent, agent-driven architecture where every decision is traceable and every step is understandable."
tag="What Makes Arcliq Different"
tagIcon={Eye}
tagAnimation="entrance-slide"
tagAnimation="slide-up"
buttons={[
{ text: "Explore Features", href: "#features" }
]}
buttonAnimation="slide-up"
imageSrc="https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3ATjAPMbMko7wXq9imjOmVfXbYW/multi-agent-ai-system-visualization-show-1772623392024-e0319dc4.png?_wi=3"
imageSrc="https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3ATjAPMbMko7wXq9imjOmVfXbYW/multi-agent-ai-system-visualization-show-1772623392024-e0319dc4.png"
imageAlt="Arcliq's transparent multi-agent architecture"
useInvertedBackground={true}
/>
@@ -146,7 +146,7 @@ export default function LandingPage() {
description="Arcliq delivers measurable impact across organizations of all sizes, from startups building their first ML model to enterprises scaling AI at scale."
tag="Key Metrics"
tagIcon={BarChart3}
tagAnimation="entrance-slide"
tagAnimation="slide-up"
metrics={[
{ id: "1", icon: Cpu, title: "Models Trained", value: "50,000+" },
{ id: "2", icon: Database, title: "Datasets Processed", value: "100K+" },
@@ -165,7 +165,7 @@ export default function LandingPage() {
description="From startups to enterprises, teams across industries leverage Arcliq to build ML-powered products faster and smarter."
tag="Use Cases"
tagIcon={Target}
tagAnimation="entrance-slide"
tagAnimation="slide-up"
products={[
{
id: "1", brand: "Startups", name: "Build ML Products Fast", price: "No Code Required", rating: 5,
@@ -193,7 +193,7 @@ export default function LandingPage() {
description="See what customers say about their experience with Arcliq's intelligent AutoML platform."
tag="Testimonials"
tagIcon={Star}
tagAnimation="entrance-slide"
tagAnimation="slide-up"
testimonials={[
{
id: "1", name: "Sarah Chen", handle: "@sarahc - CEO, DataFlow Labs", testimonial: "Arcliq cut our model development time from 3 months to 2 weeks. The transparent agent architecture helped our team understand exactly how models were chosen.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3ATjAPMbMko7wXq9imjOmVfXbYW/professional-headshot-portrait-of-a-conf-1772623391265-d2cedd52.png", imageAlt: "Sarah Chen"
@@ -227,7 +227,7 @@ export default function LandingPage() {
description="Everything you need to know about Arcliq's intelligent AutoML platform."
tag="FAQ"
tagIcon={HelpCircle}
tagAnimation="entrance-slide"
tagAnimation="slide-up"
faqs={[
{
id: "1", title: "How does Arcliq differ from traditional AutoML tools?", content: "Arcliq uses a transparent multi-agent architecture where each AI agent specializes in a specific task: data analysis, algorithm recommendation, hyperparameter tuning, and model evaluation. Unlike black-box tools, you can see exactly why each model was chosen and how it's optimized. Our parallel-first approach also trains multiple models simultaneously, dramatically reducing experimentation time."
@@ -270,7 +270,7 @@ export default function LandingPage() {
{ text: "Schedule Demo", href: "#contact-demo" }
]}
buttonAnimation="slide-up"
background={{ variant: "noise" }}
background={{ variant: "glowing-orb" }}
useInvertedBackground={false}
/>
</div>