Innuir
Innuir is a culturally intelligent nutrition platform that understands Singapore and Southeast Asian food the way people actually eat it. Users can snap a photo, speak in any language, or type in hawker shorthand, and the platform's 9-Agent AI Crew handles the rest. The system tracks what is actually consumed by deducting uneaten portions like skipped gravy or left bones, ensuring the math reflects reality.
- AI Agents
- Artificial Intelligence
- Digital Health
- Wellness & Fitness Technology
- Healthcare Technology
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Most nutrition tracking apps are built for a sterile, perfect world and fail when they encounter real food as it is actually eaten. Standard databases break when faced with mixed languages, hawker centre orders, or family dinners, forcing users to translate their culture into rigid data points and do the heavy lifting themselves.
Solution
Innuir provides a culturally intelligent nutrition platform that understands Singapore and Southeast Asian food the way people actually eat it. Users can snap a photo, speak in any language, or type in hawker shorthand, and the platform's 9-Agent AI Crew handles the rest. The system tracks what is actually consumed by deducting uneaten portions like skipped gravy or left bones, ensuring the math reflects reality. Every ingredient is tagged as Visible, Inferred, or Base, clearly showing what is known versus what is a smart AI estimate, building trust through radical honesty. The platform is designed to bridge the gap between human eating behaviors and reliable health data, and serves as the first component of a larger clinical companion that will integrate with future modules like Innuir Hypertension.
Target Audience
Primary users are individuals in Singapore and Southeast Asia who eat local hawker food and want accurate nutrition tracking without the burden of manual translation or rigid data entry, as well as future clinical users of the broader Innuir Health Platform.
Features
- 9-Agent AI Crew consensus architecture that processes English, Mandarin, Malay, Tamil, and local dialects simultaneously
- Photo-based food recognition that eliminates the need for manual entry or weighing
- Natural language input supporting spoken or typed hawker shorthand
- Consumption-aware tracking that deducts uneaten portions (e.g., skipped gravy, left bones) for accurate nutritional math
- Three-tier ingredient transparency system tagging each item as Visible, Inferred, or Base
- Roadmap integration with upcoming clinical modules like Innuir Hypertension for lifelong health timeline tracking