Case study · Investment and small business growth
Mentorado.
A multi-tenant AI SaaS platform designed to support investors, small business owners, and accelerators in evaluating, tracking, and improving portfolio companies.
- What we built
- Multi-tenant AI SaaS platform with dashboards
- Stack
- Next.js, Tailwind CSS, TypeScript, Supabase
- Services
- Web appAI reports and analyticsDashboards
About the project
What is Mentorado?
This project involved building a multi-tenant AI SaaS platform designed to support investors, small business owners, and accelerators in evaluating, tracking, and improving portfolio companies. By combining AI-powered report generation, predictive analytics, and personalized recommendations, the platform enables stakeholders to make data-driven decisions with clarity and confidence. The application acts as an AI growth partner, giving investors actionable insights on the companies they fund, while also empowering small business founders with tailored guidance to improve performance, increase ROI, and achieve sustainable growth.
Conclusion
This project successfully delivered a cutting-edge AI SaaS platform that bridges the gap between investors and small businesses. By combining predictive analytics, AI-generated reports, and personalized action items, the platform transforms fragmented business data into strategic clarity. For investors, it reduces risk, speeds up decision-making, and maximizes ROI. For entrepreneurs, it provides tailored guidance, measurable growth, and funding readiness.
The problem
What was slowing them down.
- 01
Fragmented tools & data silos
Information about financials, customers, marketing, and operations is scattered across spreadsheets and platforms.
- 02
Lack of standardization
No consistent way to measure and compare company health across multiple investments.
- 03
Delayed insights
Traditional reporting methods are manual and time-consuming, leading to outdated decisions.
- 04
Unclear growth strategies
Entrepreneurs struggle to identify which business areas need improvement and how to act on them.
The solution
What we built.
Automated Company Data Collection
Investors can invite portfolio companies to complete a structured business questionnaire covering personal details, company information, finances, customer metrics, marketing, technology usage, and inventory.
AI-Powered Analytics & Reports
The platform generates personalized AI reports that score each company's performance across industry benchmarks.
- Provides investors with portfolio-wide insights: revenue leaders, ROI comparisons, at-risk companies, and industry health metrics.
Predictive AI Coaching
Delivers tailored, actionable recommendations to each company, helping founders strengthen weak areas in their operations.
- Suggestions are grounded in proven growth strategies and presented in plain, business-friendly language.
Progress Tracking Dashboards
Clear visualization of growth scores, funding readiness, and performance trends over time.
Results
What changed.
Investors and businesses
Standardized Business Health Scoring
Introduced a credit-score-like growth metric for businesses, enabling easier comparison across portfolios.
Faster Decision-Making
Investors could quickly identify high-performing companies and spot risks before they escalated.
Actionable Growth Pathways
Businesses gained step-by-step AI guidance to improve financials, marketing, and operations.
Ecosystem Enablement
Useful not just for investors, but also for chambers, accelerators, and banks assessing funding readiness.
Scalability
The multi-tenant SaaS model ensures the solution works seamlessly across different stakeholders and regions.
Key challenges
The hard parts, and how we solved them.
Data Standardization Across Diverse Businesses: different companies have varying data formats.
Designed a unified assessment form to capture consistent and comparable data across industries.
User Adoption & Trust in AI: users hesitant to rely on AI-generated insights.
Implemented explainable AI features, citing trusted sources and explaining recommendations in simple terms.
Actionable vs. Generic AI Insights: many AI tools provide vague suggestions.
Integrated AI agents with contextual scoring frameworks, ensuring every recommendation is practical, measurable, and linked to growth outcomes.
Balancing Investor & Entrepreneur Needs: investors need macro-portfolio insights, while businesses need micro-level coaching.
Created dual-facing dashboards: one tailored for investors (portfolio view), and one for entrepreneurs (company growth view).
Tech stack
What it runs on.
- Frontend
- Next.jsTailwind CSSTypeScript
- Backend
- SupabaseFastAPI (Python)AWS Lambda
- AI Engine
- OpenAI GPT-3.5
- Utilities
- PDF.js for PDF report generation and viewing
Process
How we got there.
01Investor Onboarding
Create account · Add portfolio companies
02AI Analysis
System generates detailed reports with growth scores and risk assessments.
03Personalized Recommendations
Businesses receive tailored strategies to improve performance.
04Portfolio Insights
Investors track ROI, revenue leaders, and at-risk businesses in one dashboard.
05Continuous Improvement
Progress monitored via AI dashboards with funding readiness metrics.
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