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Casaidy

AI-powered real estate intelligence for buyers, agents, and investors: calculators, market context, goal-driven guidance, and saved projects in one subscription dashboard. Credit-based AI keeps advanced insights affordable as usage grows.

AISaaSPropTech
Casaidy

Casaidy is an AI-powered real estate intelligence dashboard that helps buyers, investors, agents, and developers analyze property value, costs, ROI, and market trends from a single workspace. It combines calculators, market insights, goal-driven AI guidance, and saved projects and reports, built as a subscription SaaS with credit-based AI usage.

Key Outcomes

All-in-one

dashboard combining calculators, market insights, and AI guidance

Faster decisions

structured reports and breakdowns for every real estate mindset

Credit-based AI

scalable usage via tiered subscription plans

Modern UX

complex real estate data made approachable for beginners

Overview

  • Industry: Real Estate / PropTech

  • Platform: Web-based SaaS dashboard

  • Users: Homebuyers, real estate agents, investors, developers

  • Stack: Next.js · Node.js · AI / LLM · Subscription billing · Market & property data

Background

Casaidy is a real estate intelligence platform designed to help people make confident decisions when buying, investing, or developing property.

Real estate moves fast, and decisions often involve messy spreadsheets, scattered market data, and guesswork. Casaidy brings everything into one place: users can estimate costs, analyze ROI, review neighborhood trends, and receive AI-backed guidance based on their goals, all inside a clean dashboard built for both professionals and individuals.

The product focuses on clarity: simplifying complex real estate analysis into a usable, guided experience instead of raw data dumps or analyst-only tools.

  • Make complex real estate insights accessible to non-experts
  • Provide practical calculators and decision support, not just listings
  • Serve buyers, agents, investors, and developers without separate products
  • Support paid subscriptions with a scalable AI and credits model
PropTech can move beyond listing search into decision intelligence, calculators, market context, and AI guidance in one repeatable workflow.

The Challenge

Business Challenges

  • Most tools are either too simple (basic listings without analysis) or too complex (analyst-grade tools that require expertise)
  • Casaidy needed to serve multiple user types without building a separate product for each audience
  • Stakeholders required practical calculators and decision support, not only static data
  • Monetization had to scale with AI usage through subscriptions and credits

Operational Pain Points

  • Manual spreadsheet work for ownership costs, renovation budgets, and ROI
  • Fragmented research across many websites and tools
  • Slow neighborhood and market comparisons with no single source of truth
  • Lack of structured reports clients and teams could share or revisit
  • Agents needed quick, data-backed guidance without hours of manual compilation

Technical Challenges

  • Designing one dashboard that supports buyer, investor, developer, and agent workflows
  • Building calculators and reporting that feel simple but stay flexible
  • Delivering goal-driven AI guidance that stays practical, not generic chat
  • Implementing credits and subscription tiers to limit abuse and keep costs predictable
  • Serving market insights and metrics with solid performance and data integrity

The Solution

Casaidy was designed around precision with simplicity, guided decisions instead of raw numbers, and one dashboard with multiple perspectives. A cost calculator suite covers ownership, renovation or development budgets, ROI projections, and feasibility. Smart guidance uses AI to answer whether a property fits the user’s goals, what costs to expect, and how to weigh risk and upside by role. The all-in-one workspace lets users save projects, store analyses, generate reports, and revisit work. Market view surfaces price trends, neighborhood statistics, and comparative signals. Buyers and agents get value discovery and client-friendly insights; investors get ROI, trends, and opportunity signals; developers get feasibility, budget comparisons, and growth forecasting. AI turns goals and property context into structured next steps that feed the dashboard and reports: more “real estate companion” than generic chatbot.

Core Architecture

Frontend:Modern responsive web dashboard (Next.js)
Backend:APIs for calculations, dashboards, reporting, subscriptions
AI layer:LLM-powered guidance + credit-based limits
Payments:Subscription billing (tiers, credits per month)
Data:Property and market ingestion + user projects and reports
Product:SaaS dashboard, calculators, market insights

Implementation Process

Implementation process

Product discovery & UX design

Defined core user roles and workflows, dashboard information architecture, and a calculator-first experience with guided insights.

Implementation process

Core feature development

Implemented cost calculators and reporting flows, project organization, and market insights with comparison UX.

Implementation process

AI guidance & credit system

Designed goal-driven prompts and outputs, credit consumption rules, plan tiers, and subscription gating.

Implementation process

Payments & monetization

Added subscription plans aligned to credits, reports, and usage limits; integrated pricing and purchase flows.

Results & Impact

(Outcomes)

Operational

  • Minutes from question to cost breakdown, guidance, and saved report
  • Less reliance on spreadsheets and scattered tools
  • Faster comparisons across properties and neighborhoods

Workflow

  • Repeatable research and client-ready outputs for professionals
  • Structured reports and breakdowns for teams and clients

Business

  • Subscription model with tiered plans and credit-based AI
  • Dual consumer and professional positioning
  • Differentiated focus on clarity and decision support, not listings alone

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