CEO
Treble Technologies
10/10Traction
Treble Technologies provides a cloud-based acoustic intelligence platform that combines wave-based and geometrical simulation to generate physically accurate synthetic audio data for training machine learning models and virtual prototyping. The platform enables engineers across automotive, smart glasses, building design, and pro audio to develop hardware and algorithms together, with hybrid simulation engines benchmarked up to 100 times faster than conventional methods.
- Artificial Intelligence
- Software Only
- AI Agents
- Data & Analytics
- Augmented & Virtual Reality
- Automotive Technology
- Construction Technology
- Consumer Electronics
- Developer Tools
- Enterprise Software
Updated 17 days ago
Funding
Raised to date
€36MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Est. $39.2Macross 3 known rounds
BREILA+4$18M · Series A Extension
Announced Sep 2026 · from article date
Disclosed cumulative: $32M
3/3
Reported total $39.2M
Incomplete round history. $7.3M of the $39.2M reported total isn’t matched to a known round.
RoundDateAmountValuationInvestors
Founders
Product
Problem
Traditional acoustic design and audio product development rely on expensive physical prototyping and measurement, which is time-consuming and costly when designs fail to meet standards. Additionally, AI-based audio models in voice technology, generative AI, and augmented reality face a major bottleneck due to a lack of high-quality audio training data that accurately reflects real-world acoustic complexity.
Solution
Treble Technologies provides an acoustic intelligence platform that combines patented wave-based simulation for low-frequency accuracy with geometrical acoustics for high-frequency efficiency, delivering physically accurate synthetic audio data and virtual prototyping at scale. The platform models any environment, material, sound source, and listening device, enabling engineers to simulate how products will perform in real-world conditions before building physical prototypes. It supports interactive auralization with head rotation and scene switching, allowing designers to hear simulated acoustics in real time and share results with stakeholders. The cloud-based web application and SDK integrate into existing workflows across automotive, smart glasses, building design, and pro audio applications.
Target Audience
Primary users are acoustic engineers, product designers, and machine learning researchers in automotive, smart glasses, consumer electronics, building design, and pro audio, as well as engineering consulting firms such as Arup and audio system manufacturers like L-Acoustics.
Features
- Hybrid simulation engine combining accelerated finite element wave-based solvers for low/mid frequency accuracy with advanced phased ray methods for high-frequency propagation, benchmarked up to 100 times faster than conventional methods
- Synthetic audio data generation for machine learning, with validated improvements including up to 38% relative reduction in median word error rate for multichannel speech enhancement
- Interactive auralizer supporting custom sound file uploads, head rotation, and scene-to-scene comparison for immersive listening
- IFC import with automatic geometry simplification for seamless BIM workflow integration, plus forced modal analysis for low-frequency room mode visualization
- Source summing, surface receivers with heatmaps, and Speech Transmission Index (STI) analysis for complex PA system design
- Multi-GPU support for accelerated large-scale wave-based simulations, with automatic task distribution
- Cloud-hosted Treble Web Application and SDK with Python interface, live chat support, and save-state functionality in results view