Oori.dev builds Desolate Frontiers, an LLM-driven solarpunk MMO logistics simulator with idle gameplay, alongside OoriChat, a customizable chatbot platform. The company combines advanced AI agents with practical tools, offering rapid chatbot customization, cost control, and future-proofing through flexible LLM integration. Their work spans entertainment and enterprise applications, emphasizing transparent, proactive AI solutions.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional MMOs demand constant player attention and often employ exploitative monetization, while chatbot solutions frequently lock users into rigid platforms with limited customization and privacy controls. This creates friction for players seeking meaningful, time-respecting experiences and for businesses needing adaptable, cost-effective AI communication tools.
Solution
Oori.dev addresses these challenges through two core offerings. Desolate Frontiers is an idle-logistics MMO where deep NPC agents, powered by advanced LLMs, create a rich solarpunk world that respects player time and wallets. OoriChat provides a state-of-the-art chatbot platform with rapid customization, allowing businesses to build on their unique values using their own source material, with options for cost and privacy control, proactive assistance, and future-proofing through an agile, configurable architecture.
Target Audience
Primary customers are gamers seeking a thoughtful, time-respecting MMO experience, and businesses and developers needing a customizable, privacy-conscious chatbot platform that can be rapidly deployed and adapted.
Features
- Idle-logistics gameplay in Desolate Frontiers that respects player time and avoids exploitative monetization
- Deep NPC agents in Desolate Frontiers powered by advanced LLM technology
- OoriChat offers rapid customization using the client's own source material
- Cost and privacy control through flexible LLM integration, including use of your own LLM or a full-service option
- Proactive assistance where OoriChat bots volunteer information when needed
- Python support and application of common LLM patterns, including retrieval augmented generation