Slide 1: AI Native By Design
AI Native By Design Building gAI to reimagine how Grindr delivers value to users August 7, 2025 © Grindr All rights reserved. 1
Slide 2: Legal Disclosure
LEGAL DISCLOSURE This presentation has been prepared by Grindr Inc. (“Grindr,” and together with its subsidiaries, the “Company”) for informational purposes only and not for any other purpose. Nothing contained in this presentation is, or should be construed as, a recommendation, promise or represen
Slide 3: Grindr is becoming a global super app for gay & bi men
Grindr is becoming a global super app for gay & bi men Enhancing & expanding Core use case with AI, while creating new DTC businesses as we build the Global Gayborhood in Your PocketTM Core Business 1 Connecting gay and bi men for hookups, dates, long-term relationships, friendships – and making it
Slide 4: Grindr's valuable, trendsetting user base creates unmatched reach and engagement
Grindr’s valuable, trendsetting user base creates unmatched reach and engagement Our Reach1 Our Engagement2 Our User Base3 87% 130B+ Chats sent $128k Brand Awareness Median HH income for 2.5B+ male-male couples (vs. $75K for all households) Album shares 190+ 50% Countries and territories we’re in 50
Slide 5: To us, AI-native means rebuilding product, architecture, and operations
To us, AI-native means rebuilding product, architecture, and operations with intelligence embedded at every layer — not bolted on as a feature
Slide 6: Introducing Grindr AI (gAI, pronounced 'Gay I')
Introducing Grindr AI (gAI, pronounced ‘Gay I’) We’re building a full-stack foundation, gAI, made up of 3 layers: 1 Foundational Models A model layer, comprised of our own (e.g., OpenAI, custom models and the best third-party Anthropic) foundation models; Architecture layer An architecture layer, wh
Slide 7: gAI can drive previously unimaginable user experiences + sustainable competitive advantage
gAI can drive previously unimaginable user experiences + sustainable competitive advantage ➔ Foundational models (e.g., OpenAI, Grok, Anthropic) are fast becoming a commodity ➔ It is getting cheaper to create and train new models, with competition now shifting to price and distribution ➔ New foundat
Slide 8: gAI can drive previously unimaginable user experiences + sustainable competitive advantage
gAI can drive previously unimaginable user experiences + sustainable competitive advantage ➔ The Application layer includes products that leverage foundational models for specific functions or categories ➔ Ranges from specific functions (e.g., AI agent for software engineering) to specific domains (e.g
Slide 9: gAI can drive previously unimaginable user experiences + sustainable competitive advantage
gAI can drive previously unimaginable user experiences + sustainable competitive advantage The architecture layer is the crucial middle layer of GenAI, comprised of two buckets: ➔ Enablers: Companies creating technologies to enable others with data to deploy and integrate their own AI more easily ➔
Slide 10: Grindr's distribution, datasets, and competitive advantage are the key ingredients of a winning AI-native strategy
Grindr’s distribution, datasets, and competitive advantage are the key ingredients of a winning AI-native strategy
Slide 11: A-List: Grindr's first AI-native product at scale is redefining how users connect
A-List: Grindr’s first AI-native product at scale is redefining how users connect Grindr users send over 130 billion chats a year – more than 50 chats per daily user – and A-List transforms that activity into smarter, best-fit priority connections with thoughtful, rich summaries of conversations that h
Slide 12: Operationalizing gAI to drive scale and durable competitive advantage
Operationalizing gAI to drive scale and durable competitive advantage We began development of gAI in 2024, and key capabilities are in production today, with full-scale deployment planned across the app starting in 2026 ➔ We’re building Grindr as an AI-native company from the inside out — with intel
Slide 13: The gAI advantage
The gAI advantage Grindr’s advantage ➔ We’re well positioned to execute at the architecture level – we can build a truly unique proprietary AI infrastructure ◆ We own the data-and-model “plumbing” that powers every AI feature: 130 billion chats/year1 t ➔ Our distribution and engagement is best-in-cl