Vikiroom | AI-Driven Social Discovery & Gamified Dating Ecosystem

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Mahindar Singh

Vikiroom

Operated by MDA Cross Global LP — An AI-native consumer ecosystem integrating micro-transaction gifting, gamified matching, and social discovery workflows.

Consumer Social AI Social Discovery Bridge / Pre-A

Competitive advantage / usp – What is the one thing your product/service does better than anything else?

Unlike standard shallow swipe-only discovery engines, Vikiroom breaks out of dating design fatigue by embedding real-time multi-layered engagement models directly into one native pipeline. We aggregate structural match optimizations via native AI, interactive virtual item gifting economies powered by internal currency metrics (Vikicoins), modular feed mechanics, micro-games, and timeline stories. This multi-layered retention model eliminates single-purpose product churn, maintaining robust organic operational metrics and scaling deep lifetime user values inside emerging international growth corridors before launching structured performance marketing models.

1M+ Verified Android Installs Globally
Native Micro-Transaction Tokenized Economy
Structural Multi-Activity Engagement Architecture
AI-Assisted Moderation & Match Scoring

What is the problem you are trying to solve, and how do you know it’s actually a problem?

The consumer discovery ecosystem suffers from fragmentation, superficial mechanics, and trust-density degradation. Users are forced to hop across disparate single-feature software ecosystems to meet, chat, game, and share content securely. Vikiroom’s structural validation is clear: verified April 2026 platform diligence records list a 73% install-to-registration transition rate alongside an elite 65% Day 1 retention mark inside paying operational cohorts, moving 5,700 monthly inbound users entirely via organic network paths without relying on institutional paid performance pipelines.

Demographics – Who is your target customer?
Mobile-first digital natives navigating emerging structural expansion markets (Western Africa, the Middle East, and Southeast Asia) underserved by premium legacy Western frameworks. Immediate geographic expansions focus heavily on Tier 1 English-speaking ecosystems (UK, US, and Australia) alongside upcoming iOS parity launches.

Revenue model – How do you actually make/plan to make money?
A multi-tiered high-margin freemium approach. Projected ecosystem monetization paths allocate approximately 65% of platform run-rates to Recurring Premium Subscriptions, 25% to in-app tokenized programmatic utility purchases (Vikicoins, customized digital gifts, custom interaction assets), and 10% to rewarded-video and contextual ad networks.

Validated Baseline Infrastructure (Performance Metrics)

Ecosystem infrastructure is managed by an expert 15+ engineer in-house operating unit led by technical co-founder Yuri Monakhov, PhD. The database architecture is built fully iOS-ready, awaiting growth funding deployment to hit active base-case configurations of 428,000 MAU within our core underserved operating territories.

1M+
Google Play Installs
73%
Install-to-Reg Rate
65%
Paying Cohort D1 Retention
5,700/mo
Organic Installs
USD $2,500,000
The ask – Pre-Series A / Bridge Funding Goal
  • Corporate Structure: MDA Cross Global LP
  • Operational Headquarter: Edinburgh, Scotland
  • Technical Core: 15+ In-House Engineers Led by PhD CTO
  • Strategic Focus: 70% Fund Allocation Directed to Paid UA Scaling

Capital Allocations: Funding drives user scaling on an already-built engine. Proceeds deploy directly into premium agency UA performance campaigns (Moburst), final iOS production deployments, subscription paywall go-to-market testing, and deeper real-time AI conversation-assist toolsets.

Connect with Viktor Saraev
Founder: Viktor Saraev  |  CTO: Yuri Monakhov, PhD
Email: fire@vikiroom.com  |  Tel: +44 7537 131417
Digital Portal: vikiroom.com

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