AI RECRUITMENT SOFTWARE BUSINESS PLAN

I. Executive Summary

Company Description

VeritasHire (from Latin veritas, meaning truth) is a recruitment technology company in the HR tech sector delivering an AI-driven SaaS platform for candidate sourcing and screening. We provide a suite of products: automated candidate sourcing, role-specific screening algorithms, bias-mitigation models, and ATS integrations. We build and operate the models, maintain secure data pipelines, and run enterprise onboarding and customer success. One-liner: We deliver faster, fairer hires with AI-driven accuracy.

We target SMBs and large enterprises in high-growth sectors—primarily healthcare and finance—who need to lower hiring cost and improve team diversity. Short-term goals: US launch in 2026, complete 50 pilot deployments, and reach $2M ARR by year-end 2027. Long-term goals: become the US category leader in AI recruitment, scale to $50M ARR by 2030, and expand into adjacent international markets. One-liner: We scale talent acquisition economics while raising hiring quality and inclusion.

Problem

Hiring teams spend thousands of manual hours filtering unqualified resumes, which slows time-to-hire, raises cost-per-hire, and wastes recruiter capacity—especially in high-growth sectors like technology, healthcare, and finance.

Human bias and opaque screening block diverse, equitable teams and hide early predictors of long-term candidate success, leaving SMBs and enterprises underserved by current tools and creating a clear need for an automated, transparent screening solution launched in the US in 2026.

Solution

US companies face slow, costly, and biased hiring: thousands of manual resume-review hours, poor quality of hire, and missed DEI goals—especially in high-growth industries that must scale quickly. Our intelligent, automated recruitment platform aggregates sources, algorithmically ranks candidates, enriches profiles, integrates with HRIS/ATS, automates admin, and delivers actionable insights to cut process time and improve hire predictiveness.

One-liner: the platform reduces recruiter administrative work and doubles time spent on candidate engagement and hiring decisions.

Mission Statement

We empower U.S. companies to build exceptional, diverse teams by using artificial intelligence that removes administrative burden and reduces human bias in hiring. We deliver data-driven insights that improve quality of hire and lower recruitment cost. We commit to measurable equity and efficiency gains for clients and to matching the right talent to the right opportunity.

Key Success Factors

These core advantages drive faster hiring, lower costs, and scalable growth.

• Proprietary AI algorithm that delivers unmatched candidate matching precision.
• Time-to-hire cut by over 50%, producing measurable ROI for customers.
• Scalable cloud infrastructure that keeps COGS low as volume grows.
• Experienced management and HR partnerships enabling rapid market entry.
• Decreasing CAC and rising conversion rates supporting long-term profitability.

Financial Summary

Key financial snapshot for the Executive Summary.

The project requires a minimum cash reserve of $558,000, expects breakeven in Jan‑2027, and a total payback period of 21 months; the revenue model uses tiered subscriptions, one‑time fees, and usage pricing and is planned to scale with an $800,000 marketing budget.

Financial outlook is strong: negative Year‑1 EBITDA flips to sizeable positive margins by Year‑3 and accelerates through Year‑5.

Funding Requirements

We need $1,008,000 to reach breakeven in Jan-27; Year 1 EBITDA is -$270,000, Year 2 EBITDA $1,149,000, Year 5 EBITDA $24,354,000, IRR 12%, ROE 43.98%, payback 21 months.