List of Gladia Customers
Since 2010, our global team of researchers has been studying Gladia customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Gladia for Speech Recognition AI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Gladia for Speech Recognition AI include: Andalusia, a Spain based Government organisation with 300000 employees and revenues of $48.60 billion, Aircall France, a France based Communications organisation with 800 employees and revenues of $235.0 million, Veed, a United Kingdom based Professional Services organisation with 200 employees and revenues of $30.0 million, Attention, a United States based Professional Services organisation with 64 employees and revenues of $6.0 million and many others.
Contact us if you need a completed and verified list of companies using Gladia, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Gladia customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Aircall France | Communications | 800 | $235M | France | Gladia | Gladia | Speech Recognition AI | 2025 | n/a |
In 2025, Aircall France integrated Gladia's speech-to-text API into its contact center as a service platform to accelerate and scale transcription. Gladia is deployed as a Speech Recognition AI component that feeds normalized transcripts into downstream analytics and coaching workflows across the platform.
The implementation focused on embedding Gladia's speech-to-text capability alongside modules for AI-generated summaries, sentiment analysis, and agent coaching. Configuration work centered on transcript normalization, multi-language model selection, and a high-throughput ingestion pipeline to support contact center use cases and automated insight generation.
Integration was executed directly into Aircall France's CCaaS telephony stack, supporting multi-language global telephony sessions and routing transcripts to analytics and coaching services used by operations and quality teams. Transcripts are consumed by AI summarization and sentiment modules to produce agent coaching prompts and contact center workflow insights.
Governance emphasized operational rollout across global telephony use cases and production scaling rather than system replacement narratives. The deployment delivered a reported 95 percent reduction in transcription time and enabled approximately 1 million weekly transcriptions, accelerating availability of AI-generated summaries and sentiment for contact center workflows.
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Andalusia | Government | 300000 | $48.6B | Spain | Gladia | Gladia | Speech Recognition AI | 2024 | n/a |
In 2024, Andalusia implemented Gladia, deploying the Speech Recognition AI application in a pilot at the 112 Andalucía public safety answering point. The implementation was part of a broader European project that launched ten pilots across eight countries, bringing together Gladia, Cestel, Augmented Hearing, and LiveReader to explore AI in PSAPs. Andalusia's engagement focused on evaluating live emergency call processing use cases and documenting operational lessons for replication.
Gladia was configured to provide real time speech to text transcription, keyword spotting for emergency intents, multi speaker handling and language detection consistent with Speech Recognition AI capabilities. The deployment emphasized configurable transcription models, streaming audio ingestion, and automated tagging to support operator situational awareness and call summarization workflows. Configuration choices were aligned to PSAP operational needs and EU data protection expectations.
Integration work focused on connecting Gladia to PSAP call audio streams and frontline emergency communication workflows rather than on replacing backend systems. The Andalusia pilot operated within the 112 Andalucía operational environment and coordinated data handling and consent processes with regional authorities. The project context across Finland, Germany, Italy, North Macedonia, Portugal, Sweden and Czechia provided comparative implementation signals for different PSAP architectures.
Governance for the pilot prioritized legal compliance and transparency, the team committed to publishing lessons learned and formal recommendations and to aligning model governance with the draft EU AI Act. The stated objective is to demonstrate how Speech Recognition AI tools like Gladia can be effectively implemented into PSAPs and how they may contribute to increased efficiency and improved emergency service delivery for citizens. No operational outcomes are claimed at this stage beyond the project's mandate to pilot, document and recommend.
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Attention | Professional Services | 64 | $6M | United States | Gladia | Gladia | Speech Recognition AI | 2025 | n/a |
In 2025, Attention implemented Gladia as its transcription layer, selecting the solution within the Speech Recognition AI category to support AI sales agents, CRM autofill, and coaching scorecards. The deployment targets sales enablement across global customers and prioritizes multilingual call coverage, with accuracy, diarization, and dynamic language detection cited as decisive factors.
Implementation centered on Gladia's core transcription capabilities, configured for speaker diarization, dynamic language detection and low latency streaming to feed AI agent workflows. Attention standardized transcript artifacts including timestamps, speaker labels and confidence indicators to enable downstream automation and CRM autofill. The Gladia transcription layer was instrumented to serve both live call processing and post call analytics for coaching scorecards.
Integration architecture routed audio streams and recorded calls into Gladia, then propagated canonical transcripts to AI sales agents, CRM autofill engines and the coaching scorecard pipeline for further processing and insight extraction. The architecture supports multilingual calls across Attention's global customer base by leveraging Gladia's language detection and transcription capabilities, enabling consistent transcript formats for downstream systems. Data handoffs emphasized structured transcript payloads and event hooks to trigger automation in proof of concept and production workflows.
Governance established the Gladia transcript as the single source of truth for sales automation, with transcript versioning, access controls and QA checkpoints embedded into coaching and CRM workflows. Attention linked Gladia sourced transcripts to POC validation processes and reported improved POC success, win rates, and retention by delivering a dependable transcription foundation for downstream automation.
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Professional Services | 200 | $30M | United Kingdom | Gladia | Gladia | Speech Recognition AI | 2024 | n/a |
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