Whisperwave

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Whisperwave

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“Active Noise Cancellation for Open Environments”

Whisperwave is an AI-powered open-air active noise cancellation device that uses neural networks and real-time edge hardware to eliminate ambient noise without headphones.

/ 01

+ dB

Noise reduction

Mean noise reduction achieved with neural ANC model

/ 02

Latency

P95 latency on live inference testing

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01Market

The opportunity

The personal audio and wellness market is exploding as noise pollution becomes a global health crisis. Open-air ANC technology represents an untapped $XX billion opportunity to bring silence to public spaces, offices, and homes without requiring users to wear headphones. With AI advancements making real-time acoustic modeling viable on edge devices, we're at an inflection point where what seemed impossible five years ago is now technically feasible and commercially viable. The space is ripe for disruption beyond traditional headphone manufacturers.

02Premise

The brief

Whisperwave is building the future of personal sound control through open-air active noise cancellation technology. Unlike traditional ANC limited to headphones, our device uses advanced neural networks (deep_anc model) and real-time digital signal processing to create quiet zones in open environments. The system evolved from classic FxLMS algorithms to AI-powered solutions that handle nonlinear acoustics and moving noise sources. With a complete cloud infrastructure on AWS, edge analytics dashboard, and proven +3.4 dB mean noise reduction under 10ms latency, Whisperwave represents a paradigm shift in how people experience sound in their environment.

03Product Excitement

The edge

“

WhisperWave is the first product to bring AI-powered active noise cancellation into open-air environments.

What makes this incredibly exciting is the transition from classical FxLMS algorithms to deep neural architectures that can handle real-world complexity — nonlinear acoustics, moving sources, and environmental variations that traditional methods struggle with. The technical achievement of sub-10ms latency with +3.4dB noise reduction on consumer-grade ESP32-S3 hardware proves the concept works. Having built this solo from firmware to cloud to ML models, the product demonstrates not just innovation but execution velocity that will scale.

04Timing

Why now

Three converging trends make this the perfect moment: AI hardware maturity: ESP32-S3 and similar edge chips now deliver the compute needed for real-time neural inference at sub-$10 price points Neural architecture breakthroughs: Deep learning models can now handle nonlinear acoustics and dynamic environments that defeated classical DSP approaches Noise pollution awareness: Post-pandemic work-from-anywhere culture has intensified demand for personal sound control solutions beyond headphones The technology is proven (verified metrics), the hardware is affordable, and the market is desperate for alternatives to isolation-based solutions.

05People

The builder

Founder

Surya Maddula

19-year-old founder building Whisperwave. Patent holder. Investing and advising at EVM Capital, resident at Lossfunk, currently at IIMB. Previously worked on LLMs at Columbia.