top of page
Swirl_1.png

Understand the world through sound.

VISION

We’re digitalizing audio to better sense and respond to the surrounding world. 

By transforming sound into data, Audio Digitalization uncovers meaningful and actionable information hidden in the sounds that surround us. Digitalizing audio unlocks new layers of awareness that extend human perception, support real-time decision-making and power intelligent systems. Our mission is to harness the full potential of this shift — bridging the physical and digital worlds through sound — generating intelligence from sound and contributing to a smarter, safer and more responsive society.

Digitalized world
Vision

WHAT WE DO

Let us explain how we revolutionize Audio Digitalization.

What we do

UNDERSTANDING THE WORLD THROUGH SOUND

Every sound carries information, from subtle anomalies in machinery to patterns in human activity. This information holds valuable insights that can reveal context, detect change and anticipate events. Human hearing naturally captures and interprets this information. Yet, most devices remain unaware of the acoustic events around them, leaving the rich layer of data and intelligence largely untapped.

We turn complex sound environments into actionable, real-time intelligence for humans and machines by capturing and interpreting the information hidden in sound. Our unique solution enables smarter decisions, enhances situational awareness and sound reproduction, allows more immersive experiences, offers new forms of automation and drives innovation across industries.

Without Audio Digitalization
Scenario without Audio Digitalization
With Audio Digitalization
Aani logo
Scenario with Audio Digitalization
"Incoming vehicle from the left, be aware."
Swirl_1 (1)_edited_edited.jpg
Sound sources: 9
Acoustic environment: Office
Source locations:
[117°, 114°, 88°, 87°, 63°, 60°, 38°, 28°, 25°]
Complex sound environment
Sound Source Counting
Sound Source Counting icon
Sound Source Localization
Sound Source Localization icon
Sound Event Classification
Sound Event Classification icon
Reverberation Estimation
Reverberation Estimation icon

OUR SOLUTION

Our solution begins with capturing acoustic metadata. Acoustic metadata refers to structured data providing descriptive, contextual and semantic information about acoustic events beyond the raw audio signals, such as data on sound source identity or characteristics of the acoustic environment. This data enables deeper understanding, interpretation and intelligent processing of audio content.

We capture acoustic metadata in real-time using advanced signal processing and novel deep learning techniques. Our software enables hardware devices to transform and interpret audio signals from the hardware into actionable information efficiently. As our solution is hardware compatible, it can be easily adapted to various devices ranging from mobile phones and smart glasses to digital cameras.

Machine Listening is the process of turning acoustic data into intelligence.​​​ By analyzing the metadata we capture, our system enables devices to perceive and interpret their acoustic surroundings, supporting tasks such as source counting, localization, event detection and sound classification. This contextual awareness allows machines to respond to their environment in real time, powering applications in safety, automation, accessibility and beyond. It brings a new layer of perception to devices, extending their ability to understand and interact with the surrounding world.

WE ENABLE

Reproduction

Reproduction icon

Combining audio signals and acoustic metadata generates high-resolution Spatial Audio for immersive content creation, mixed reality experiences and telepresence, as well as enhances safety through improved Situational Awareness.

Data

Data icon

Acoustic metadata forms the foundation for real-time applications such as Acoustic Anomalies Detection, Location Monitoring and Defence, 

enabling systems to interpret complex soundscapes, detect irregularities and respond to events with precision.

Automation

Automation icon

Capturing acoustic metadata in real-time enables machine listening, navigation and new sensing modalities for Robotics and Autonomous Vehicles interacting with physical environments, adding contextual awareness and adaptability.

Our journey

OUR JOURNEY SO FAR

2025

AANI IS FOUNDED

In February 2025, Raimundo, John, Heidi and Archontis established Aani, driven by the vision to become an industry leader in Audio Digitalization.

Aani logo
Team

TEAM

Get to know us.

John Barry

LinkedIn icon
CEO

Successful adoption of new technology requires understanding the application as much the technological innovation. 

 

With extensive leadership experience in consumer electronics and audio sectors, John excels at steering innovation from concept to commercial success. Across his career, he has shown a record of transformative growth and strategic execution at various scales - from multi-million euro business units to founding companies. 

John's photo

Raimundo Gonzalez

LinkedIn icon
CTO

Unlike vision, which depends on where we look, our ears provide information from all around us.

Raimundo is committed to building audio systems that make human communication sound natural and personal. His love for sound, both as physics and arts, drives him to change how we hear the world. His work on Aani's technology S3MASH redefines high-resolution Spatial Audio capture and pushes to make this technology accessible to a broader audience.

Raimundo's photo

Heidi Hassinen

LinkedIn icon
Head of Software

Elegance in structure is a universal theme that unites maths and arts. 

 

With expertise in both computer science and music, Heidi operates at the intersection of computation and creativity, shaping audio technologies that are both intuitive and intelligent. Driven by an inherent curiosity and a creative approach to problem-solving, she embraces the challenge of building Aani after working on software at two of Finland's three largest companies and conducting research in generative AI.

Heidi's photo

Archontis Politis

LinkedIn icon
Head of Research

Audio innovation lies where maths and physics of sound meet human experience.

 

As a professor at Tampere University and co-author of "Parametric Time-Frequency Domain Spatial Audio", Archontis is a leading academic in audio algorithms. His research spans Spatial Audio, Algorithm Optimization and Machine Learning, his lab being a trusted partner for many of the largest technology companies in the world. At Aani, he brings academic rigor and technical insights to advance intelligent sound systems.

Archontis' photo

SUPPORTED BY

Get to know our partners backing our mission.

TMTL logo

TMTL Barry is a family trust led by Thomas M. Barry, a former telecom executive with global leadership roles, whose investments focus on income generation.

Aalto Acoustics Lab logo

The Aalto University Acoustics Lab is a leading research center in acoustics and audio signal processing, with a proven track record of excellence in Spatial Audio.

Business Finland logo

Business Finland accelerates Finland's sustainable growth by empowering companies to innovate, expand globally and lead in emerging markets.

Swirl_1 (1)_edited.jpg
Contact

inquiries[at]aani.dev

A Grid

Otakaari 5

02150 Espoo

Finland

FI35111122

© 2025 by Aani

All rights reserved. | Patent pending for our solution.

bottom of page