EDTECH SOFTWARE DEVELOPMENT BUSINESS PLAN

I. Executive Summary

Company Description

AdaptiveEd Labs (name reflects our focus on adaptive learning) is an EdTech software company based in Austin, Texas, launching operations in 2026. We build a SaaS platform that delivers intelligent, engaging digital tools which adapt to each student's learning style. Our products combine adaptive learning algorithms, formative assessments, and teacher dashboards to personalize instruction for K–12 districts, universities, and corporate training departments. Core activities are product engineering, data science, content partnerships, district onboarding, and enterprise sales. One-line: we turn learner data into on-the-ground improvements in mastery and retention.

What sets us apart is real-time personalization driven by proprietary models, easy-to-deploy district integrations, and action-focused reporting that teachers can use in one class period. We target public school districts (grades K–12), higher-education programs, and corporate L&D teams seeking measurable learning outcomes. Short-term goal: achieve product-market fit and hit first-year EBITDA of $1,743,000. Long-term goal: scale to 500 districts and expand into supplemental curriculum and international licensing within five years.

Problem

Traditional one-size-fits-all education fails to engage modern students and does not serve varied learning paces, leaving many K-12 and higher-education learners behind. Teachers face increased administrative and remediation load, and institutions lack tools for timely, data-driven interventions.

Existing systems prevent flexible curriculum adoption across districts and colleges, reducing measurable student outcomes and retention rates. Students disengage, teachers burn out, and institutions can’t act quickly enough.

Based in Austin, Texas and launching in 2026, our SaaS platform targets K-12 districts, universities, and corporate training to deliver personalized, data-driven learning. Our business is structured to achieve a first-year EBITDA of $1,743,000.

Solution

U.S. K–12 districts and corporate L&D face a one-size-fits-all problem that yields disengaged learners and overburdened educators; there is a critical need for scalable, data-driven personalization that improves mastery and reduces teacher prep time. This opportunity supports a scale target of $79,971,000 in annual EBITDA.

We deliver a suite of cloud-based, adaptive AI applications launching in 2026 that personalize lessons, surface teacher action items, analyze cohort performance, and map role competencies for corporate training—backed by a multi-tenant, GDPR- and FERPA-aligned architecture and a projected Return on Equity of 160.23. Adaptive AI learning that personalizes instruction, empowers educators, and scales across schools and companies.

Mission Statement

We use AI-driven personalization to improve learning and teaching across the United States. We empower educators and unlock learner potential by delivering adaptive tools that match individual needs and improve student outcomes and institutional efficiency. We commit to evidence-based improvement, equitable access, and measurable impact, targeting a Return on Equity of 160.23.

Key Success Factors

Success depends on our AI, conversion, CAC, sales mix, infrastructure, and content partnerships driving Year 4 EBITDA to $42,066,000.

• Proprietary AI engine: powers personalization and product differentiation.
• 33.0% trial-to-paid conversion by 2030: drives revenue scale and unit economics.
• $120 Customer Acquisition Cost: maintains long-term profitability and CAC payback.
• 50% Institutional Enterprise sales mix: shifts revenue toward high-value, scalable contracts.
• Scalable cloud infrastructure & content partnerships: ensure uptime, margins, and premium content delivery.

Financial Summary

Brief summary: the plan forecasts rapid EBITDA growth from Year 1 with a SaaS tiered model, breakeven in Feb-26, and defined minimum cash and capex needs.

Financial requirements: minimum cash required $858,000 with breakeven in Feb-26; 2026 capex $160,000 for software, hardware, and content. Anticipated return: five-year IRR 0.62 and ROE 160.23.

Conclusion: strong EBITDA trajectory and defined cash and capex needs support an attractive investor return profile.

Funding Requirements

We require $1,806,200 to fund 2026 capex, annual operating, marketing, staffing, and a $858,000 minimum cash reserve to reach breakeven in February 2026.