List of Speechmatics Customers
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Since 2010, our global team of researchers has been studying Speechmatics 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 Speechmatics 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 Speechmatics for Speech Recognition AI include: TranscribeMe, a United States based Professional Services organisation with 700 employees and revenues of $214.0 million, Ai-Media, a Australia based Professional Services organisation with 226 employees and revenues of $60.0 million, Vail Systems, a United States based Communications organisation with 50 employees and revenues of $8.0 million and many others.
Contact us if you need a completed and verified list of companies using Speechmatics, 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 Speechmatics 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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Ai-Media | Professional Services | 226 | $60M | Australia | Speechmatics | Speechmatics | Speech Recognition AI | 2024 | n/a |
In 2024, Ai-Media integrated Speechmatics as its Speech Recognition AI solution into core captioning and subtitle workflows. The Speechmatics automatic speech recognition implementation was applied to both live and offline captioning to deliver multi language captions for broadcasters and enterprise customers across global markets.
The deployment emphasized standard Speech Recognition AI functional components, including a live ASR engine for real time captioning and an offline transcription pipeline for batch subtitle production, together with language model support to extend language coverage. Integration work focused on embedding Speechmatics outputs into Ai-Media captioning and subtitle workflows, preserving timing and formatting for broadcast playout and enterprise delivery while automating transcript generation and subtitle file production.
The relationship was formalized further in a strategic announcement in September 2024, which centered collaboration on media and captioning use cases and a joint agenda to improve caption quality, expand language coverage, and accelerate processing speed for Ai-Media customers. Operational scope spanned Ai-Media’s media delivery services to broadcasters and enterprise clients in global markets, with governance concentrated on aligning product and operational priorities to support captioning and subtitling workflows.
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TranscribeMe | Professional Services | 700 | $214M | United States | Speechmatics | Speechmatics | Speech Recognition AI | 2019 | n/a |
In 2019 TranscribeMe partnered with Speechmatics to deploy Speechmatics as a Speech Recognition AI solution supporting its transcription and research services. The engagement established a hybrid ASR and human transcription workflow tailored for high volume research and enterprise transcription needs.
The implementation configured Speechmatics for automated first pass transcription, using confidence scoring to route segments into a human verification queue while keeping human verification in the loop. Functional capabilities implemented included automated first accuracy tuning, workflow orchestration for higher throughput, and process-level controls to prioritize human review where required.
Operational coverage targeted transcription, research, and media workflows globally, servicing enterprise accounts with high volume pipelines. Governance and process changes defined review thresholds based on confidence scores, operationalized automated first routing, and embedded human verification checkpoints to support rapid scale.
TranscribeMe’s use of Speechmatics delivered higher automated first accuracy and faster turnaround while retaining human verification in the workflow, enabling rapid scaling of transcription volumes. Speechmatics became the central Speech Recognition AI engine for TranscribeMe’s transcription and research business functions.
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Vail Systems | Communications | 50 | $8M | United States | Speechmatics | Speechmatics | Speech Recognition AI | 2020 | n/a |
In 2020, Vail Systems implemented Speechmatics within its contact center analytics workflow, deploying Speechmatics as a Speech Recognition AI solution. Prosodica integrated Speechmatics any context speech recognition into its contact center analytics platform to unlock voice data and drive caller experience improvements across US deployments.
The implementation uses a customer hosted on premise deployment of Speechmatics to meet security and compliance requirements, enabling faster, scalable voice analytics for contact center process improvement. Functional capabilities centered on Speechmatics any context transcription and indexing, feeding the analytics platform with structured speech to text outputs and metadata to support caller journey analysis and quality monitoring.
Operational coverage focused on US contact center deployments, with the integration impacting contact center analytics and caller experience management workflows. Governance emphasized on premise hosting and compliance controls, and the integration centralized voice transcription outputs into the Prosodica analytics pipeline to enable process improvement and voice data enablement.
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