AI Data Collection Companies and Services in 2026

An AI data collection service produces new data to a brief. You specify what you need (the modality, the languages, the devices, the environments, the demographics, the volume, the file format) and the company recruits participants, runs the recording, checks the output and delivers a dataset with the consent paperwork attached. Speech is the oldest line of business, because voice assistants needed thousands of hours of scripted and conversational audio in every language they shipped in. Image and video collection grew with computer vision. Field recording of physical tasks grew with sensor and embodied models. Text collection, which covers prompts, conversations and written responses, grew with chatbots.

The work splits into two models. Crowd collection sends the brief to a large pool of contributors who record on their own devices, which is cheap and fast and gives wide demographic coverage. Managed collection uses trained teams in studios or in the field with controlled equipment, which costs more and takes longer and gives you consistent, well-documented output. Most of the companies below run both.

Collection and licensing solve different problems, and the mistake we see most often is buying the first when the project needed the second.

Collection fits when the data has to match a specification nothing existing will meet. A wake word in a language with no public speech data. Images of your product in the wild. A task performed the exact way your model will see it in production. You wait weeks or months, you pay for every hour or image produced, and you own the result outright.

Licensing fits when the data already exists and the job is finding the owner and getting the rights. Years of real footage, real recordings, real conversations and real business records, produced for reasons other than training a model, carry the variety and the realism that a scripted session can't fake. You get volume in days, you pay for a license, and the rights question is answered once, in the owner's agreement. Our guide to how and where to buy AI training data walks through the four places to buy and what each costs, and our page on where AI labs source training data shows how the big labs mix the two.

A simple test. If you can write a shot list for what you need, you're buying collection. If what you need is "real," you're buying a license.

Here are the names that come up in most evaluations, with what each one collects and how it runs the work. Where we've written a deeper comparison, the company name links to it.

1. Appen. One of the longest-established collection companies, with a global crowd that records and labels to specification across many languages. The fit is speech recorded to a brief, image and video sets with wide demographic coverage, or data you already hold that needs processing.
2. TELUS Digital. The AI data arm of a large telecom services company, with a global workforce running speech, text and image collection alongside model evaluation. It absorbed Lionbridge AI in 2020, which brought decades of multilingual data work with it.
3. Scale AI. Collection sits alongside annotation and evaluation in a managed pipeline built for frontier scale. Meta invested a reported 14.3 billion dollars for a 49 percent stake in June 2025, and Google and OpenAI were reported to be winding down work with the company within days. Strong on volume; no longer a neutral vendor.
4. Sama. Managed annotation and collection teams, with a long record in computer vision and an East Africa workforce it presents as an ethical sourcing model. Best known for image and video work that needs consistent, supervised output.
5. iMerit. A managed workforce that specializes in regulated and technical domains like medical imaging and geospatial data, where the collectors need training before they can collect. India based, with delivery centers elsewhere.
6. LXT. Speech and audio first, across a wide language set, with both crowd and studio collection and linguistic quality control. The fit is voice data for recognition and synthesis in languages where public corpora are thin.
7. Shaip. Collection and annotation for speech, conversational AI, healthcare and text, run as custom projects. Smaller than the names above and often more flexible on scope.
8. Defined.ai. One of the longest-standing training data marketplaces, with off-the-shelf datasets alongside commissioned collection, and particular depth in speech and language. Check rights documentation per dataset, since a marketplace is only as clean as its weakest contributor.
9. Toloka. A crowd platform for high-volume collection and labeling that has been moving toward expert and domain data. The fit is scale and price on tasks a general contributor can do.
10. DataForce. TransPerfect's data arm, running multilingual speech and text collection through the parent company's language network. The fit is projects that need many languages at once with native speakers.
11. Prolific. Built on verified study participants for academic researchers, now selling human responses, preference data and behavioral collection from representative populations. The fit is research-grade sampling where who the participants are matters as much as what they produce.
12. Centific. Positions itself as a frontier AI data foundry and runs multilingual and sensor data collection as one part of a wider offer that covers human feedback and evaluation.

These companies compete on workforce, languages and QA, and most of them will quote the same brief. The difference shows up in how they document consent and rights, which is the next section. For the wider market, including the expert data and licensed data companies, our guide to the top AI training data companies in 2026 covers all three groups.

Collection is priced on output, per hour of audio, per image, per video minute, per completed task, with the rate rising for rarer languages, trained collectors, controlled environments and tighter QA. Timelines run from a few weeks for a crowd project in a common language to several months for managed field work. Every vendor quotes per project, so the useful comparison is cost per usable unit after QA, not the headline rate. Our breakdown of how much AI training data costs puts collection next to licensed and off-the-shelf data so you can compare routes before you ask for quotes.

Most briefs cover modality, volume and format. The things that go wrong are elsewhere.

• Consent and rights. Ask to see the participant agreement. It should grant the rights your model needs, including commercial use and derivative works, and it should survive the participant changing their mind later. Our explainer on what rights-cleared training data means lists the clauses that matter.
• Provenance records. Every file should trace back to a session, a participant ID and a signed consent, so you can answer a question about any single item years later. Our guide to AI data provenance covers what a complete record looks like.
• Participant pay and location. Where the collectors are and what they're paid affects both the ethics review and the demographic mix you end up with. Ask directly.
• QA pass rate. Ask what share of raw output gets rejected and who pays for the re-record. A low rejection rate on a hard brief is a warning sign, not a selling point.
• Exclusivity. Some vendors resell collected data to other clients unless the contract stops them. Decide whether you need the set to be yours alone and price it accordingly.
• Delivery format and metadata. Agree the file formats, the naming scheme and the metadata fields before recording starts, because fixing them afterward is a second project.

Troveo isn't a collection company. We're a licensed data sourcing provider with more than 7,000 rights holders consolidated into one source, with more than 8 million hours of licensed video and 4 million hours of audio, plus gaming and enterprise business data, every dataset licensed directly from its owner and delivered training-ready. When the data you need already exists somewhere in the world, we're the faster route to it, with the rights question answered once, in the owner's agreement. When it doesn't exist yet, one of the companies above should record it, and we're happy to say so. If you're not sure which route your project needs, talk to us and we'll tell you straight.