Muun AI
Category: AI in Climate / Energy
An AI-powered decision intelligence platform for the physical economy that converts raw industrial machine telemetry into actionable, confidence-scored insights to drive decarbonization. Muun AI was founded in 2024. The company is led by Kathryn Knight. Based in Singapore. Team size: 1-10. Total funding raised: $700K. Latest round: Pre-Seed. Key investors include ["Wavemaker Impact"].
- Founded
- 2024
- Headquarters
- Singapore
- Team size
- 1-10
- Total funding
- $700K
Value proposition
Enables industrial facilities to identify and recover thousands of hours of operational inefficiencies in real-time without requiring changes to existing workflows or infrastructure.
Products and solutions
["Real-time Industrial Telemetry Processor","Ranked Operational Insight Dashboard","Confidence-Scored Decision Engine","Industrial Decarbonization Analytics Suite"]
Unique value
Unlike generic AI tools, Muun AI focuses specifically on the 'physical economy' by processing raw machine-level data to solve the complex decarbonization challenges of heavy industry.
Target customer
Industrial manufacturers and factory operators, specifically those in 'hard-to-abate' sectors looking to reduce energy waste and carbon emissions.
Industries served
["Manufacturing","Industrial IoT","Climate Tech","Energy Management"]
Technology advantage
Led by a Silicon Valley veteran with deep expertise in industrial telemetry; utilizes proprietary machine learning models to rank operational signals by confidence and impact, significantly reducing 'noise' for factory operators.
How they differentiate
Muun AI differentiates by focusing on raw machine-level telemetry rather than high-level utility data. It uses proprietary ML models to provide 'confidence-scored' operational insights, reducing noise for factory operators and allowing for real-time decarbonization without infrastructure overhauls.
Main competitors
["Carbon Re","BrainBox AI","Metron"]
Key partnerships
["Wavemaker Impact (Venture Builder and Lead Investor)","Singapore-based manufacturing facilities (PoC partners)"]
Notable customers
["Singapore-based manufacturing facilities (PoC partners)","Industrial partners in the 'physical economy' sector"]
Major milestones
["Founded in 2024 as a venture-build with Wavemaker Impact","Secured $700,000 Pre-Seed funding in April 2024","Launched live Proof-of-Concept (PoC) trials with industrial partners in Singapore","Founder Kathryn Knight recognized for holding three machine learning patents in industrial telemetry"]
Growth metrics
Currently in live Proof-of-Concept (PoC) phase; part of Wavemaker Impact’s '100x100' initiative (ventures with the potential to abate 100M tons of CO2).
Market positioning
Early-stage Climate-Tech specialist targeting 'hard-to-abate' industrial manufacturing sectors.
Geographic focus
Southeast Asia (headquartered in Singapore) with a focus on global industrial manufacturing hubs.
Patents and IP
Founder Kathryn Knight holds three machine learning patents, including US20180268255A1 (Systems and methods for identifying and classifying events in telemetry data).
About Kathryn Knight
Kathryn Knight is a Silicon Valley AI veteran with over two decades of experience in machine learning and industrial intelligence. She holds three machine learning patents (including US20180268255A1) focused on converting raw telemetry from industrial machines into operational insights. Prior to founding Muun AI, she held senior engineering and AI leadership roles at CalAmp Corp and other Silicon Valley tech firms, specializing in real-time data systems for the physical economy.
Official website: https://muun-ai.com/