Overview
Dusker AI is an enterprise AI benchmarking and evaluation company based in Jaipur, Rajasthan. Their mission is to provide enterprises with objective frameworks to evaluate AI agents before production deployment, ensuring that costly and preventable agent failures do not occur in production.
The Challenge
The primary challenge was to build a corporate website that clearly communicated highly technical offerings (benchmarking, evaluation, fine-tuning, and risk assessment) to both technical and non-technical enterprise decision makers. The platform also needed:
- A dynamic, CMS-driven content architecture so the Dusker team could manage services, blog posts, and career listings independently.
- A high-performance dark-mode experience consistent with their brand identity.
- Enterprise-grade SEO for keywords like AI agent evaluation, AI benchmarking, and enterprise AI deployment.
Our Solution
We designed and developed the full Dusker AI web platform from scratch: a fast, modern Next.js 14 application with a Supabase backend for dynamic content.
Website Architecture
The site is structured across six core routes:
- Home: Animated hero with sparkle effects, client logos strip, services preview, about preview, and CTA section.
- Services: Six detailed service cards with modal deep-dives, each with key points and outcomes.
- About: Origin story, the "why" behind evaluation-first AI, partners list, and mission statement.
- Careers: Live job postings pulled from Supabase with a dedicated application flow.
- Resources: Blog and thought leadership section using slug-based dynamic routes.
- Contact: Inquiry form with admin panel integration.
Design System
Dusker operates on a dark-first design language with a signature golden-yellow primary accent (#e0b106) and red secondary accent (#ff2424). All animations are built with Framer Motion: scroll-triggered reveals, staggered list entries, and hover micro-interactions that feel premium without being distracting.
Services Delivered
The six core services we architected the content strategy around:
- AI Agent Benchmarking: Real-world, tool-driven task evaluation.
- AI Agent Evaluation: End-to-end reliability and safety testing.
- Enterprise AI Agents: Design, validate, and deploy production agents.
- Agent Readiness & Risk Assessment: Go/No-Go deployment confidence scoring.
- Continuous Monitoring & Regression Testing: Post-deployment drift detection.
- Supervised Fine-Tuning (SFT) & RLHF: Alignment and instruction-following improvement.
Admin Panel
Built alongside the main site is a full content management system at admin.dusker.ai, allowing the Dusker team to manage:
- Services (title, description, key points, outcomes)
- Blog posts and resources
- Job postings and career listings
- Branding settings (logo, favicon, primary color, tagline)
- Contact form submissions
Technical Stack
The platform is built for performance and developer experience:
- Framework: Next.js 14 (App Router, Turbopack)
- Styling: Tailwind CSS v4 with a custom design token system
- Animations: Framer Motion for scroll-triggered, viewport-aware animations
- Database: Supabase (PostgreSQL) for dynamic content
- Deployment: Vercel (frontend) with edge caching for sub-100ms TTFBs
- SEO: Structured JSON-LD schema, canonical URLs, sitemap.xml, Open Graph
The Result
The Dusker AI website launched at dusker.ai with:
- A clear, enterprise-grade brand presence that communicates technical depth without losing non-technical stakeholders.
- Full CMS control for the Dusker team, ensuring zero developer dependency for content updates.
- Six service pages with detailed modal explanations, each targeting high-intent enterprise search queries.
- A careers module that auto-populates from Supabase without any code changes needed to post new roles.