Who takes call center audio and transcripts
5 of 15 organisations whose pages we read license data from the businesses that own it, read 28 October 2026.
How it takes the data
Whether it names call or conversation audio
The data it names, in its words
How an owner gets in
What it says about ownership
All the answers, organisation by organisation
Each row is one organisation. Click an answer to see the sentence behind it, quoted from the page with the date we read it. Where it says "not stated", the page we read is silent on that question.
| Organisation | How it takes the data | Whether it names call or conversation audio | The data it names, in its words | How an owner gets in | What it says about ownership |
|---|---|---|---|---|---|
| Appen | sells or collects call and speech data of its own | names company data generally, calls not singled out | not statedNot addressed in Off-the-shelf AI training datasets | not statedNot addressed in Off-the-shelf AI training datasets | All are collected under documented consent and licensing terms, with provenance records… |
| AWS Data Exchange | runs a marketplace where owners list and sell data | names company data generally, calls not singled out | your data files, tables, and APIs | Become a data provider Make it easy to reach AWS customers | not statedNot addressed in Data providers |
| David AI | sells or collects call and speech data of its own | names call center, phone or conversational audio | A collection of expert conversations across a range of domains. | Contact us to request a sample, explore more options, or collaborate on a new dataset. | Enter a data license agreement for the dataset and use-cases your team needs. |
| Defined.ai | licenses data from the businesses that own it | names company data generally, calls not singled out | Audio, video, image, text or multimodal data | Apply as a Data Partner Apply as an AI Service Supplier | Assessment of your licensing rights as well as legal, compliance and cybersecurity checks |
| FutureBeeAI | sells or collects call and speech data of its own | names company data generally, calls not singled out | not statedNot addressed in Home page | not statedNot addressed in Home page | not statedNot addressed in Home page |
| Grepped | runs a marketplace where owners list and sell data | names company data generally, calls not singled out | Your team’s tools, connected read-only. Messages, docs, tickets, code, and records. | Email us at e@grepped.ai if you are interested in licensing your data. | We strip customer names, contact details, and identifying information before anything… |
| LXT | sells or collects call and speech data of its own | names transcripts or customer conversations as text | not statedNot addressed in Data collection services | not statedNot addressed in Data collection services | All data is freshly recorded or created by contributors who consent to each task |
| Macgence | sells or collects call and speech data of its own | names call center, phone or conversational audio | not statedNot addressed in Call center conversation speech datasets | not statedNot addressed in Call center conversation speech datasets | not statedNot addressed in Call center conversation speech datasets |
| micro1 | licenses data from the businesses that own it | names transcripts or customer conversations as text | established companies with 30+ full-time employees, mature business operations, and… | You securely transfer your data through our APIs or other approved methods. We review the… | companies have the opportunity to review representative samples before use, and deletion… |
| Nexdata | sells or collects call and speech data of its own | names call center, phone or conversational audio | not statedNot addressed in Speech recognition datasets | not statedNot addressed in Speech recognition datasets | ensuring the maintenance of user privacy and legal rights throughout the data collection… |
| Nyne | licenses data from the businesses that own it | names transcripts or customer conversations as text | CRM, HR, ERP, and support records from the core systems teams operate in every day. | You decide what data you share. We work with your team to scope what's relevant and what… | You decide exactly what is shared. |
| Protege | licenses data from the businesses that own it | names company data generally, calls not singled out | The Series A extension follows rapid adoption across healthcare, media, audio, motion… | Contact contact@withprotege.ai | while maintaining clear rights protections and provenance |
| Shaip | sells or collects call and speech data of its own | names call center, phone or conversational audio | not statedNot addressed in Speech data catalog | not statedNot addressed in Speech data catalog | not statedNot addressed in Speech data catalog |
| Troveo | licenses data from the businesses that own it | names transcripts or customer conversations as text | Buyers pay a premium for work they can follow across communication channels, knowledge… | Answer three questions for a directional estimate. | Troveo licenses it on your behalf under terms that you sign off on; ownership never… |
| Unidata | sells or collects call and speech data of its own | names call center, phone or conversational audio | Metadata (id, company, category, device, OS, city, state, country, duration, wait time… | not statedNot addressed in Commercial call center audio dataset | Data was collected by a partner of Unidata. |
The source sentence behind every answer (75)
- Appen, Off-the-shelf AI training datasets, read 2026-10-08, How it takes the data:
Off-the-shelf (OTS) AI training datasets are pre-collected, pre-licensed datasets that teams can license and use immediately
- Appen, Off-the-shelf AI training datasets, read 2026-10-08, Whether it names call or conversation audio:
from reinforcement learning (RL) tasks and verifiers to speech, code, and enterprise data
- Appen, Off-the-shelf AI training datasets, read 2026-10-08, The data it names, in its words: No answer on the page, which ran to 26,258 characters when read on 2026-10-08.
- Appen, Off-the-shelf AI training datasets, read 2026-10-08, How an owner gets in: No answer on the page, which ran to 26,258 characters when read on 2026-10-08.
- Appen, Off-the-shelf AI training datasets, read 2026-10-08, What it says about ownership:
All are collected under documented consent and licensing terms, with provenance records your legal and compliance teams can review.
- AWS Data Exchange, Data providers, read 2026-10-27, How it takes the data:
Make it easy to reach AWS customers with your data files, tables, and APIs on the AWS Data Exchange catalog
- AWS Data Exchange, Data providers, read 2026-10-27, Whether it names call or conversation audio:
make the world's third-party data easy to find in one data catalog
- AWS Data Exchange, Data providers, read 2026-10-27, The data it names, in its words:
your data files, tables, and APIs
- AWS Data Exchange, Data providers, read 2026-10-27, How an owner gets in:
Become a data provider Make it easy to reach AWS customers
- AWS Data Exchange, Data providers, read 2026-10-27, What it says about ownership: No answer on the page, which ran to 6,647 characters when read on 2026-10-27.
- David AI, Home page, read 2026-10-28, How it takes the data:
We are an audio data research company.
- David AI, Home page, read 2026-10-28, Whether it names call or conversation audio:
A dataset suite designed for speech-to-speech, multilingual, and voice interaction systems
- David AI, Home page, read 2026-10-28, The data it names, in its words:
A collection of expert conversations across a range of domains.
- David AI, Home page, read 2026-10-28, How an owner gets in:
Contact us to request a sample, explore more options, or collaborate on a new dataset.
- David AI, Home page, read 2026-10-28, What it says about ownership:
Enter a data license agreement for the dataset and use-cases your team needs.
- Defined.ai, Partnership Programs, read 2026-10-27, How it takes the data:
Monetize your data ethically and easily with Defined.ai’s Partnership Programs. Whether you own or process data, create new revenue streams for your business.
- Defined.ai, Partnership Programs, read 2026-10-27, Whether it names call or conversation audio:
Any business that generates or aggregates data
- Defined.ai, Partnership Programs, read 2026-10-27, The data it names, in its words:
Audio, video, image, text or multimodal data
- Defined.ai, Partnership Programs, read 2026-10-27, How an owner gets in:
Apply as a Data Partner Apply as an AI Service Supplier
- Defined.ai, Partnership Programs, read 2026-10-27, What it says about ownership:
Assessment of your licensing rights as well as legal, compliance and cybersecurity checks
- FutureBeeAI, Home page, read 2026-10-28, How it takes the data:
Collecting real-world speech, text, image, video, and multimodal data tailored to your AI needs-globally and at scale.
- FutureBeeAI, Home page, read 2026-10-28, Whether it names call or conversation audio:
High-Quality, Diverse & Ethical AI Data
- FutureBeeAI, Home page, read 2026-10-28, The data it names, in its words: No answer on the page, which ran to 6,863 characters when read on 2026-10-28.
- FutureBeeAI, Home page, read 2026-10-28, How an owner gets in: No answer on the page, which ran to 6,863 characters when read on 2026-10-28.
- FutureBeeAI, Home page, read 2026-10-28, What it says about ownership: No answer on the page, which ran to 6,863 characters when read on 2026-10-28.
- Grepped, Grepped for Business, read 2026-10-27, How it takes the data:
Premium licensing for company data worth millions.
- Grepped, Grepped for Business, read 2026-10-27, Whether it names call or conversation audio:
Records, tables, logs, and exports from the systems that run the business
- Grepped, Grepped for Business, read 2026-10-27, The data it names, in its words:
Your team’s tools, connected read-only. Messages, docs, tickets, code, and records.
- Grepped, Grepped for Business, read 2026-10-27, How an owner gets in:
Email us at e@grepped.ai if you are interested in licensing your data.
- Grepped, Grepped for Business, read 2026-10-27, What it says about ownership:
We strip customer names, contact details, and identifying information before anything leaves processing.
- LXT, Data collection services, read 2026-10-28, How it takes the data:
Collect fresh, high-quality datasets – audio, image, video, text, and more – created to match your model goals
- LXT, Data collection services, read 2026-10-28, Whether it names call or conversation audio:
Domain-specific corpora, conversational text, user-generated content, and handwriting
- LXT, Data collection services, read 2026-10-28, The data it names, in its words: No answer on the page, which ran to 7,879 characters when read on 2026-10-28.
- LXT, Data collection services, read 2026-10-28, How an owner gets in: No answer on the page, which ran to 7,879 characters when read on 2026-10-28.
- LXT, Data collection services, read 2026-10-28, What it says about ownership:
All data is freshly recorded or created by contributors who consent to each task
- Macgence, Call center conversation speech datasets, read 2026-10-28, How it takes the data:
Home Call Center Conversation Speech Datasets
- Macgence, Call center conversation speech datasets, read 2026-10-28, Whether it names call or conversation audio:
Use Case ASR Conversational AI Chatbot Language Modelling TTS Speech Analytics
- Macgence, Call center conversation speech datasets, read 2026-10-28, The data it names, in its words: No answer on the page, which ran to 10,374 characters when read on 2026-10-28.
- Macgence, Call center conversation speech datasets, read 2026-10-28, How an owner gets in: No answer on the page, which ran to 10,374 characters when read on 2026-10-28.
- Macgence, Call center conversation speech datasets, read 2026-10-28, What it says about ownership: No answer on the page, which ran to 10,374 characters when read on 2026-10-28.
- micro1, Company Data Partnerships, read 2026-10-27, How it takes the data:
We pay in full within 30 days of acceptance, with payments typically ranging from $150K to over $2M.
- micro1, Company Data Partnerships, read 2026-10-27, Whether it names call or conversation audio:
This can include internal communications, SOPs, project histories, CRM records, support tickets, and other business documentation.
- micro1, Company Data Partnerships, read 2026-10-27, The data it names, in its words:
established companies with 30+ full-time employees, mature business operations, and substantial historical operational data
- micro1, Company Data Partnerships, read 2026-10-27, How an owner gets in:
You securely transfer your data through our APIs or other approved methods. We review the data for completeness.
- micro1, Company Data Partnerships, read 2026-10-27, What it says about ownership:
companies have the opportunity to review representative samples before use, and deletion requests are honored according to the terms of the engagement
- Nexdata, Speech recognition datasets, read 2026-10-28, How it takes the data:
Nexdata provides high-quality speech datasets covering diverse accents, environments, languages, and real-world scenarios for robust ASR model training.
- Nexdata, Speech recognition datasets, read 2026-10-28, Whether it names call or conversation audio:
Japanese Full-Duplex Multi-Channel Speech Dataset is collected from dialogues based on given topics.
- Nexdata, Speech recognition datasets, read 2026-10-28, The data it names, in its words: No answer on the page, which ran to 10,280 characters when read on 2026-10-28.
- Nexdata, Speech recognition datasets, read 2026-10-28, How an owner gets in: No answer on the page, which ran to 10,280 characters when read on 2026-10-28.
- Nexdata, Speech recognition datasets, read 2026-10-28, What it says about ownership:
ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes
- Nyne, Data partnerships, read 2026-10-27, How it takes the data:
We partner with you to license your company's data.
- Nyne, Data partnerships, read 2026-10-27, Whether it names call or conversation audio:
Full conversation histories, threads, participants, and reply structure preserved intact.
- Nyne, Data partnerships, read 2026-10-27, The data it names, in its words:
CRM, HR, ERP, and support records from the core systems teams operate in every day.
- Nyne, Data partnerships, read 2026-10-27, How an owner gets in:
You decide what data you share. We work with your team to scope what's relevant and what protections apply.
- Nyne, Data partnerships, read 2026-10-27, What it says about ownership:
You decide exactly what is shared.
- Protege, Home page, read 2026-10-08, How it takes the data:
Monetize your existing data assets or content with Protege
- Protege, Home page, read 2026-10-08, Whether it names call or conversation audio:
Protege streamlines access to private and proprietary real-world data across domains.
- Protege, Home page, read 2026-10-08, The data it names, in its words:
The Series A extension follows rapid adoption across healthcare, media, audio, motion capture, and more
- Protege, Home page, read 2026-10-08, How an owner gets in:
Contact contact@withprotege.ai
- Protege, Home page, read 2026-10-08, What it says about ownership:
while maintaining clear rights protections and provenance
- Shaip, Speech data catalog, read 2026-10-08, How it takes the data:
Data Catalogs & Licensing Off-the-Shelf Curated Data. Smarter Models.
- Shaip, Speech data catalog, read 2026-10-08, Whether it names call or conversation audio:
Browse by Category Call Centre 55 Datasets
- Shaip, Speech data catalog, read 2026-10-08, The data it names, in its words: No answer on the page, which ran to 99,582 characters when read on 2026-10-08.
- Shaip, Speech data catalog, read 2026-10-08, How an owner gets in: No answer on the page, which ran to 99,582 characters when read on 2026-10-08.
- Shaip, Speech data catalog, read 2026-10-08, What it says about ownership: No answer on the page, which ran to 99,582 characters when read on 2026-10-08.
- Troveo, Business data licensing, read 2026-10-27, How it takes the data:
Troveo matches you with them, anonymizes your data to a documented standard, and licenses it on terms you approve
- Troveo, Business data licensing, read 2026-10-27, Whether it names call or conversation audio:
Chat & messaging Complete conversation threads with participants and replies intact
- Troveo, Business data licensing, read 2026-10-27, The data it names, in its words:
Buyers pay a premium for work they can follow across communication channels, knowledge and code repositories, and operational tools.
- Troveo, Business data licensing, read 2026-10-27, How an owner gets in:
Answer three questions for a directional estimate.
- Troveo, Business data licensing, read 2026-10-27, What it says about ownership:
Troveo licenses it on your behalf under terms that you sign off on; ownership never transfers.
- Unidata, Commercial call center audio dataset, read 2026-10-28, How it takes the data:
Call center dataset containing 13,000+ hours of real-world customer service calls from global call centers
- Unidata, Commercial call center audio dataset, read 2026-10-28, Whether it names call or conversation audio:
real-world customer service calls from global call centers
- Unidata, Commercial call center audio dataset, read 2026-10-28, The data it names, in its words:
Metadata (id, company, category, device, OS, city, state, country, duration, wait time, transcription, AI summary)
- Unidata, Commercial call center audio dataset, read 2026-10-28, How an owner gets in: No answer on the page, which ran to 10,276 characters when read on 2026-10-28.
- Unidata, Commercial call center audio dataset, read 2026-10-28, What it says about ownership:
Data was collected by a partner of Unidata.
Read and excluded
4 named documents were read but are not the kind of document this board answers from; see why below. They are counted and never answered.
- micro1, company data estimate: the same micro1 page as source 2 under its estimate address; recorded once
- Human Native, home: the read holds Human Native's home page shell only (1,353 characters), with no sentence on what it takes or how
- Kled, home: Kled pays individual contributors through its app for their own uploads; it names no route for a business's call or conversation records
- Datarade, WiserBrand call transcription dataset (USA): a Datarade listing page, admitted by the charter for a seller's name and that per-record licences exist; it is not an organisation's own page
How this was built
Each organisation's own data partnership, speech dataset and data marketplace pages were read through estate-fetch and stored whole (sha256 on every row).
For every page, five questions were answered from its own words: how it takes the data, whether it names call or conversation audio, the data it names, in its words, how an owner gets in, what it says about ownership.
Every stated answer carries the sentence it rests on, checked against the stored text; 'not stated' means the page read does not address the question.
A organisation with several pages reads 'varies' where they disagree.
15 organisations, 15 pages.
19 sources, with links
- Defined.ai, Partnership Programs (quoted for reporting from the publisher's data partnership, speech dataset and data marketplace pages)
- micro1, Monetize your company's operational data (quoted for reporting from the publisher's data partnership, speech dataset and data marketplace pages)
- micro1, company data estimate (read, set aside)
- Troveo, Turn your company data into revenue (quoted for reporting from the publisher's data partnership, speech dataset and data marketplace pages)
- Grepped for Business, get a quote for your data (quoted for reporting from the publisher's data partnership, speech dataset and data marketplace pages)
- Nyne, Data partnerships (quoted for reporting from the publisher's data partnership, speech dataset and data marketplace pages)
- Protege, home (quoted for reporting from the publisher's data partnership, speech dataset and data marketplace pages)
- Human Native, home (read, set aside)
- David AI, home (quoted for reporting from the publisher's data partnership, speech dataset and data marketplace pages)
- Kled, home (read, set aside)
- AWS Data Exchange, data providers (quoted for reporting from the publisher's data partnership, speech dataset and data marketplace pages)
- Macgence, call center conversation speech datasets (quoted for reporting from the publisher's data partnership, speech dataset and data marketplace pages)
- Nexdata, speech recognition datasets (quoted for reporting from the publisher's data partnership, speech dataset and data marketplace pages)
- Unidata, call center audio dataset (quoted for reporting from the publisher's data partnership, speech dataset and data marketplace pages)
- Shaip, speech data catalog (quoted for reporting from the publisher's data partnership, speech dataset and data marketplace pages)
- FutureBeeAI, home (quoted for reporting from the publisher's data partnership, speech dataset and data marketplace pages)
- Appen, off-the-shelf datasets (quoted for reporting from the publisher's data partnership, speech dataset and data marketplace pages)
- LXT, data collection services (quoted for reporting from the publisher's data partnership, speech dataset and data marketplace pages)
- Datarade, WiserBrand call transcription dataset (USA) (read, set aside)
Take this figure with you
5 of 15 organisations whose pages we read license data from the businesses that own it, read 28 October 2026.
How it takes the data, by organisation: sells or collects call and speech data of its own 8 of 15, licenses data from the businesses that own it 5 of 15, runs a marketplace where owners list and sell data 2 of 15 (15 organisations, read 28 October 2026).
Whether it names call or conversation audio, by organisation: names company data generally, calls not singled out 6 of 15, names call center, phone or conversational audio 5 of 15, names transcripts or customer conversations as text 4 of 15 (15 organisations, read 28 October 2026).
The data it names, in its words, by organisation: stated 9 of 15, not stated 6 of 15 (15 organisations, read 28 October 2026).
How an owner gets in, by organisation: stated 8 of 15, not stated 7 of 15 (15 organisations, read 28 October 2026).
What it says about ownership, by organisation: stated 11 of 15, not stated 4 of 15 (15 organisations, read 28 October 2026).
Suggested citation: "Who takes call center audio and transcripts", updated 2026-10-28, https://sellcallcenterdatatoai.com/datasets/call-center-data-buyers/.
The data as a CSV (75 answers, updated 2026-10-28)