In today's professional landscape, the average workday of a recruiter is characterized by a perpetual cycle of administrative tasks, alternated by intake calls with hiring managers and interviews with candidates. And while recruiters enjoy connecting with hiring managers and candidates, there’s an almost universal disdain for the administrative side of the job.
Taking interview notes, writing job descriptions, drafting candidate profiles — these are just few of the many admin tasks that require precious time and attention, but leave recruiters with little opportunity to prioritize more candidate centric initiatives.
And that’s where Carv comes in. The company aims to revolutionize recruiting by integrating AI into the interview process, saving recruiters hours that can now be spent on more impactful initiatives.
A key component in this workflow is capturing relevant data and insights from recruitment calls, for which Carv relies on multilingual AI transcription provided by Gladia.
Carv is AI for recruiters, purpose-built to take over admin tasks related to intake calls & interviews. Their mission is to unburden recruiters by eliminating admin so they can prioritize the human aspect of hiring. Carv listens in on job intake calls and interviews and uses the context of those meetings to fully automate admin tasks, reducing time spent on tedious tasks from hours to minutes.
Founded in Amsterdam in 2022, the company of 25 employees targets recruiting teams and staffing agencies around the globe.
As the recruitment landscape evolves, the need for efficient and streamlined hiring processes grows increasingly important. After all, good talent is hard to find, and providing recruiters with the tools necessary to build meaningful connections with the right candidates is paramount in getting the right people in.
Carv’s founders recognized the challenges faced by recruiters – the significant amount of time spent on repetitive administrative tasks rather than focusing on the human being in front of them. They asked themselves the question: How can we unburden the recruiter so that they can focus on the interactions that truly matter?
Leveraging the momentum created by the emergence of generative AI, the company enlisted the help of state-of-the-art Large Language Models (LLMs) and prompt engineering to address this very issue.
The result is a versatile AI platform that accompanies recruiters in every intake conversation and candidate interview.
Transcription, which serves to convert these meetings into input for LLMs, plays a key role in Carv's mission to optimize productivity for hiring teams. After all, without the right context and accurate data for the LLM, generating top-quality insights for recruiters to work with efficiently is next to impossible.
Choosing the right provider to establish this foundation was therefore paramount for Carv to ensure no nuance is lost in the process.
Before switching to Gladia, Carv used another API provider that didn’t provide the range of language support necessary to serve Carv’s international client base. With a user base originating from over 90 countries, flawless multilingual support was critical.
Gladia met their needs based on the following criteria:
Enter Gladia! Using our speech-to-text and audio intelligence API, the Carv team was able to implement and improve must-have features like:
By working with the Gladia team to iterate and scale up, they saw a noticeable impact on their speed of shipping and iteration, with the underlying transcription engine enabling more and more valuable capabilities for Carv's AI for Recruiters.
The team at Carv is already looking forward to implementing more features at the intersection of Gladia APIs and Carv’s proprietary know-how. According to Carv’s VP of Product & Engineering, Valentijn van Gastel, Carv’s future vision involves addressing specific use cases and problems for customers in different types of recruitment, where Gladia's expanding audio intelligence offering could be of service.
We're thrilled to be part of this amazing journey with them, and thank Carv for putting their trust in us! As we move forward, we're excited to team up with more clients, tackle new challenges, and make speech AI more accessible to virtual meeting companies worldwide.
Having read this case study, do you feel like Gladia can be the right fit for your business too?
Don't hesitate to contact our sales team to discuss this in more detail. Beyond virtual meetings, we cater to a range of use cases, including content & media, call centers, workspace collaboration, and more with tailored solutions.
At Gladia, we built an optimized version of Whisper in the form of an API, adapted to real-life professional use cases and distinguished by exceptional accuracy, speed, extended multilingual capabilities, and state-of-the-art features, including speaker diarization and word-level timestamps. Our latest model, Whisper-Zero, that removes hallucinations and improves accuracy across languages is available now.
Speech-To-Text
Every product that depends on voice input lives or dies by its speech-to-text performance. Whether you're enriching CRM data from support calls, powering live captions in meetings, or triggering downstream actions via LLMs, transcription accuracy and speed aren’t just nice-to-haves. They’re essential to product functionality. If your STT engine stalls on latency or mistranscribes a customer’s request, it can break automations, derail user experiences, and create costly manual work downstream.
Speech-To-Text
As the landscape of speech-to-text APIs continues to evolve—with growing demands around latency, language support, and compliance—it’s more important than ever to ensure that your setup aligns with your product’s direction.
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We’re thrilled to announce a strategic partnership between Gladia and Daily, the team behind Pipecat, aimed at revolutionizing real-time conversational AI. This collaboration combines our cutting-edge audio intelligence capabilities with their flexible 100% open-source framework, empowering developers to create more dynamic, multilingual, and context-aware voice AI applications.
