Voice Authentication for your business

Give your customers the most natural and secure authentication experience on the market

Call Centers
ValidSoft can integrate with all major contact centre platforms for both IVR and live agent deployments.

By supporting both Text-dependent (active) and Text-independent (passive) modes, we have an authentication solution for every use-case. Full replay-detection and synthesis-detection are standard, with both cloud and on-premise deployments supported.


Our speed and accuracy are unsurpassed, providing enhanced security throughout the call centre authentication workflow, greatly improved frictionless customer experience.

reduce costs

Significant cost reductions and returns on investment (ROI) through enabling self-service Interactive Voice Response systems (IVRs) and reducing average call handling (ACH) time for agents.


Our voice biometric solution can be integrated directly with a merchant’s web application or through an Issuer’s 3D-Secure Access Control Server


Using our simple REST API we can support a range of user-interfaces including call-back, app-based authentication and direct browser audio input.


No passwords, no PINs and no memorable data to forget. ValidSoft’s voice biometric authentication platform stops fraud and chargebacks whilst providing your customers with a natural, user-friendly experience.

Whether online or app-based, ValidSoft easily integrates into banking applications to provide the strongest form of identity assurance for your customers.

Fully support transaction verification against Man-in-the-Browser (MitB) and Man-in-the-Middle (MitM) attacks and are fully compliant with the requirements of PSD2

bot integration

We integrate with AI speechbots whether using active or passive modes of communication.

Automotive / Internet of Things

ValidSoft provides not only voice biometric authentication but also identification, the ability to identify an individual speaker without the need for any claim of identity.

IOT Devices

It is this technology that allows IoT devices such as smart speakers to identify who, in a family for instance, is speaking a command, rather than just understanding the command, and to identify the driver of a car simply through their voice.


As vehicles increasingly become connected devices, the need for understanding who is requesting access to external information such as email, not just the vehicle’s seat and infotainment settings, becomes critical. And ValidSoft provides the only high-definition voice biometric engines that can be deployed in the cloud, on-premise and on-device, catering for both connected and offline processing.

The US home healthcare market alone is estimated to be worth over $100 billion and growing rapidly.

Remote healthcare, through the use of smart-phones and tablets, with access to patients’ medical records, is streamlining the way care is administered. However, it is also paramount that only authorised users can obtain access to these systems and the data they contain.


ValidSoft’s high-definition voice biometrics for use with smart-devices and digital communication channels provides the highest level of identity assurance available and ensures compliance with all healthcare privacy regulations such as HIPAA.


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Frequently asked questions

In simple terms, how does Voice Biometrics work?

Every person’s throat, palette and vocal chords are uniquely different and it is these elements that primarily affect the air being expelled from our lungs and out of our mouths when we speak. Starting with the raw audio and waveform generated when we speak, much of which is beyond the human audible range, our voice biometric system processes the audio waveform to extract key features that are unique to each speaker. From this a statistical model and a voice signature is built for each individual person enrolled on the system. When subsequently comparing speech audio, e.g. authenticating a person against their previously enrolled voice signature, the same process is applied and a similarity measure of the key features is obtained, the value of which indicates a pass or fail. There are many different features that can be extracted from a speech signal and speech scientists class them from low level to high level.

Voice biometrics differs from ‘speech recognition’ in that “voice biometrics knows who you are but not what you’re saying” and so is used to authenticate an individual’s identity, whereas “speech recognition knows what you’re saying but not who you are” and thus is used for voice command applications. It is not unusual for the two technologies to be used in tandem but it is important to understand the distinction between them.