Custom AI Analytics Platform
Industry
Business Intelligence / SaaS
Timeline
3 weeks
Delivery Time
Beta Signups
Processing Speed
User Satisfaction
The Challenge
A growing B2B analytics startup needed a custom AI-powered platform and landing page to launch their new product quickly before competitors.
Our Solution
We built a complete AI analytics dashboard with natural language querying, automated reporting, and a conversion-focused landing page from design to launch in just 3 weeks.
Results
3-week delivery, AI-powered insights, 1000+ beta signups in first month
The Challenge
A venture-backed analytics startup had 6 weeks to launch their AI-powered analytics platform before a major industry conference. They had the business logic and data infrastructure ready, but needed a complete user interface, AI integration for natural language queries, automated report generation, and a landing page to drive beta signups. Their internal team was focused on backend systems and they needed external expertise to handle the frontend and AI implementation quickly. The stakes were high - missing the launch window meant losing first-mover advantage to two well-funded competitors.
Our Solution
We delivered a comprehensive solution in 3 weeks by working in parallel streams. Week 1: We created wireframes, designed the UI system, and built the landing page with clear value propositions, product demo videos, and a beta signup form. Week 2: We developed the core dashboard with real-time data visualization, integrated OpenAI GPT-4 for natural language querying so users could ask questions in plain English, and built automated report generation with PDF export. Week 3: We implemented user authentication, onboarding flows, connected their existing data APIs, conducted extensive testing, and deployed to production. The platform allows users to ask questions like 'Show me sales trends for Q4' and get instant AI-generated insights with interactive charts.
Implementation Process
We used an agile approach with daily standups and rapid iteration. The marketing team provided brand guidelines and copy while we handled all technical implementation. The landing page was built first to start driving beta signups while we developed the platform. We used Next.js 16 with server-side rendering for optimal performance, Supabase for authentication and database, and Vercel for deployment with automatic scaling. The AI integration uses the Vercel AI SDK with streaming responses for a smooth user experience. We also implemented comprehensive analytics to track user behavior and feature usage from day one.
Results & Impact
The platform launched on schedule at the industry conference, generating massive interest. Within the first month, they secured 1,000+ beta signups with a 34% conversion rate from landing page visitors. The AI query feature processes natural language questions in an average of 3.2 seconds with 94% accuracy. User satisfaction scores are 4.9/5, with users particularly praising the intuitive interface and AI capabilities. The startup successfully closed a Series A funding round, citing the platform's rapid development and strong early adoption as key factors. The fast time-to-market gave them a 4-month lead over competitors, allowing them to capture significant market share early.
Technologies Used
"We needed to launch fast to beat competitors to market. The team delivered a production-ready AI platform in just 3 weeks. The quality exceeded our expectations and our beta users love it."
Startup Founder
SaaS Industry