Seed Round Open — $500,000 Target

Invest in the Infrastructure
of Education

Riverova is building the operating system that institutions use to create, manage, and scale education. Enterprise SaaS. AI-native. Blockchain-verified credentials. Conservative projections. Real traction.

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$500K Seed Round
Target

8–20× SaaS ARR
Multiple

$15M+ Base ARR
Year 5

Y5–7 Exit
Window

Why This Matters to You

We Are Not an EdTech Company.
We Are an Enterprise SaaS Platform.

The category you invest in determines the valuation multiple you receive. Riverova is purpose-built for the SaaS multiple — not the EdTech multiple.

Think Salesforce for Sales, HubSpot for Marketing, ServiceNow for IT. Riverova is the operating system layer for Education — and no dominant player holds that position yet.

"We help organizations build and operate modern learning ecosystems with AI."

Dimension	EdTech Company	SaaS Platform (Riverova)
ARR Multiple	2× – 5× ARR	8× – 20× ARR
Revenue Predictability	Course-by-course	Annual subscriptions
Scalability	Content-dependent	AI-automated
Gross Margin	30% – 50%	65% – 80%
Moat	Content library	Platform lock-in + data
Exit Options	EdTech acquirers only	SaaS + EdTech + Tech giants

Market Timing

Why 2026 is the Right Year

Three converging forces are creating a once-in-a-decade window for an AI-native education infrastructure platform.

AI Cost Collapse

AI content generation costs have dropped 95%+ in 3 years. What previously required a 50-person content team can now be produced by an AI orchestration layer. This is the enabling technology. Now is the time to build the platform on top of it.

Enterprise LMS is Broken

Organizations spend $165B/year on corporate training with poor ROI. Legacy LMS platforms (Cornerstone, SAP SuccessFactors) were built pre-AI. They cannot automate content creation. Riverova enters as the modern, AI-first replacement — not a competitor, a generation shift.

Credential Verification Demand Surge

Remote hiring has made credential verification a global problem. Fraudulent certificates are rampant. Institutions and employers urgently need tamper-proof, instantly verifiable credentials. Riverova's blockchain credential layer addresses this directly — and is already operational on testnet.

Platform Metrics

What We Track. What You Should Ask.

We build with investor metrics in mind from day one. Here's our current state and Year 1 targets.

Product

MVP Status Live

Courses Generated Active

Languages Supported 5 live / 20 target

Credential Infra Operational

Usage (Current)

Registered Users 300+

Monthly Active 80+

Pilot Negotiations 3 active

Pipeline Stage LOI discussion

Revenue (Year 1 Target)

ARR Target $100K

Customers Target 20

Avg. Contract $5K–$25K/yr

Gross Margin Target 70%+

Growth (Year 2–3)

Y2 ARR $550K

Y3 ARR $1.8M

NRR Target >110%

CAC:LTV Ratio >5×

Capital Allocation

How We Deploy $500,000

Every dollar is allocated to one objective: reaching 20 paying enterprise customers with a production-ready platform by end of Year 1.

40%

$200,000

AI Infrastructure

AI model orchestration layer build-out. Content generation pipeline for 20 languages. Assessment and evaluation engine. Platform stability for enterprise workloads.

30%

$150,000

Enterprise Sales

Sales team hiring. Pilot program management for 3 active negotiations. Enterprise partnership development. Conference attendance and outreach in target verticals.

20%

$100,000

Product & Engineering

Credential verification engine production deployment. White-label module development. API layer hardening. Enterprise admin dashboard and reporting.

10%

$50,000

Operations & Legal

EU regulatory compliance. GDPR and data protection infrastructure. Accounting, legal counsel, and corporate governance for international operations.

18-Month Plan

Milestone Roadmap

Concrete, measurable milestones from seed capital deployment to Series A readiness.

Q3
2026

Capital Deploy & Team

Seed funding closed. Sales hire made. 3 pilot programs formally signed. AI content pipeline V1 in production for English and Turkish content.

Q4
2026

First Revenue

First 5 paying enterprise customers onboarded. Credential verification engine in production. White-label module beta launched. MRR >$2,000.

Q1
2027

Scale & Repeat

10 active paying customers. NRR validated above 100%. Second language group live (Arabic, German, French). ARR run-rate >$50,000.

Q2
2027

Series A Readiness

20 enterprise customers. $100K ARR milestone. Product-market fit validated. Series A deck prepared. Target: $3–5M raise at $15–20M post-money valuation.

Liquidity Path

Three Clear Exit Paths

We are not building for an IPO in year 3. We are building the right foundation for multiple acquisition paths by year 5–7.

Strategic Acquisition
Year 5–7 target

Acquisition by enterprise software giants (SAP, Workday, Salesforce) seeking to add AI education infrastructure to their HR suite. Or acquisition by EdTech platforms (Coursera, Degreed) seeking to own the infrastructure layer. At $15M ARR, a 10–15× SaaS multiple yields $150–225M exit value.

Series B Secondary
Year 4–5 option

Early seed investors offered liquidity in a secondary transaction at Series B. This path requires reaching $5–8M ARR and Series A completion. Provides early investor exit without requiring a full company sale.

Most Likely Path

IPO / Public Listing
Year 7–10 horizon

NASDAQ listing or dual listing on emerging market exchanges once ARR exceeds $50M and the platform operates across 10+ country markets. Long-horizon path — but the global infrastructure positioning makes it structurally achievable.

Honest Disclosure

Risks We Know About — and How We Mitigate Them

We believe informed investors make better partners. Here are the real risks and our mitigation strategies.

Risk	Severity	Mitigation Strategy
Enterprise sales cycle length B2B sales to institutions and enterprises can take 6–18 months.	Medium	3 active pipeline deals already in LOI stage. Year 1 targets are set for 20 customers — achievable with current pipeline if only 2 of 3 close. Starter-tier entry pricing enables faster institutional decision cycles.
AI platform competition Google, Microsoft and OpenAI all have education AI initiatives.	Medium	Big tech builds horizontal tools. Riverova builds vertical infrastructure. Competitors don't offer end-to-end LMS + AI content + verification credentials in one OS. The credential trust layer and multi-language orchestration are differentiators not replicated by horizontal players.
Credential verification scalability Ensuring credential verification infrastructure remains fast and reliable at scale.	Low	Riverova’s core product is the AI SaaS platform — credential verification is a modular feature. It can be delivered via traditional cryptographic signing or distributed infrastructure simultaneously. EU entity (River Nova MTÜ, Estonia) provides regulatory positioning ahead of EU digital credential frameworks.
Team execution risk Small founding team with limited sales hires.	Medium	Seed capital allocation prioritizes enterprise sales hire (Q3 2026). Founder has 25+ years of education sales and institutional relationship experience. First 3 pilots being managed directly by founders — validates proof of concept before scaling sales org.
Revenue concentration risk Year 1 revenue dependent on small number of enterprise clients.	Low	Target 20 diverse enterprise customers across verticals (banking, education, municipality). No single client >15% of revenue. API and marketplace revenue begins at Year 2 to diversify revenue base.