Managed Annotation Service vs Labeling Platform

How do the two models compare?

Question	Managed service	Platform
Who labels?	The vendor's annotators	Your team, freelancers or a separate vendor
How it is priced	Per item, per hour or per project	Per seat, per usage unit or by subscription
Who manages quality?	The vendor, against targets you set	You, using the tool's review features
Where data sits	With the vendor, or in your cloud if they support it	In the vendor's cloud, your cloud, or on your servers for self-hosted tools
Speed to start	Fast if they have trained staff in your modality	Fast to sign up; slower to hire and train labelers
Best fit	Large one-off datasets, no spare people	Ongoing work, sensitive data, in-house experts

Which vendors sell a managed annotation service?

They supply the annotators, project managers and quality review. You send data and guidelines and receive labels.

Overall rank	Company	What it says it does	Modalities	Published pricing
4	Label Your Datalabelyourdata.com, read Nov 7, 2026	Annotation done for you by its own team, for vision and language data. Prices are on the website and a pilot costs nothing.	Image, Video, Text, Audio, 3D and sensor	$0.015+ per keypoint, $0.02+ per box, $0.02+ per NLP entity. Hourly work: usually $6 an annotator hour.
8	Samasama.com, read Nov 7, 2026	Annotation and validation by Sama's own workforce on its own platform; vision and generative AI work above all.	Image, Video, Text, 3D and sensor	Not published (quote on request).
11	Appenappen.com, read Nov 7, 2026	Listed on the ASX. Sells annotation and post-training data for language models, plus ready-made reinforcement learning tasks that ship with their own graders.	Image, Video, Text, Audio, Code	Not published (quote on request).
13	TELUS Digital (AI Data Solutions)telusdigital.com, read Nov 7, 2026	The training-data arm of TELUS Digital, offering generative AI post-training sets, red-team testing, automotive and robotics data, plus off-the-shelf sets.	Image, Video, Text, Audio, 3D and sensor	Not published (quote on request).
14	Tolokatoloka.ai, read Nov 7, 2026	Managed data supplier based in Amsterdam. Its work spans demonstrations for supervised fine-tuning, preference data for RLHF and DPO, tasks that can be checked automatically, and red teaming.	Image, Video, Text, Audio, Code	Not published (quote on request).
16	Innodatainnodata.com, read Nov 7, 2026	Nasdaq-listed (ticker INOD). Its AI work covers labeling datasets, fine-tuning models to a task, and safety testing.	Image, Video, Text, Audio	Not published (quote on request).
18	Keymakrkeymakr.com, read Nov 7, 2026	Labels images and video with an in-house team working on its own annotation software.	Image, Video	Not published (quote on request).

We can earn a fee from vendors in this table when a team we introduce hires them; rows stay in scoring order regardless.

Which vendors sell a labeling platform?

They sell the software. Your team, freelancers or another vendor do the labeling inside it.

Overall rank	Company	What it says it does	Modalities	Published pricing
2	Segments.aisegments.ai, read Nov 7, 2026	Labeling software aimed at robotics and self-driving teams: camera images, LiDAR point clouds and fused sensor views.	Image, Video, 3D and sensor	Core tier: 3,600+ labeling hours a year, which Segments.ai equates to $2.67 an hour. Fusion: 5,000+ hours. Enterprise: 150,000+ hours. 14-day trial.
3	HumanSignal (Label Studio)humansignal.com, read Nov 7, 2026	Makes Label Studio. Self-host the open-source edition at no cost, or pay for hosted Starter Cloud or Enterprise; data services also offered.	Image, Video, Text, Audio	Hosted Starter Cloud: $99/month with 12 users included, then $49/month for each added user. Enterprise priced on request. Community Edition: free, open source.
7	Dataloopdataloop.ai, read Nov 7, 2026	Data platform for unstructured files, used to run multimodal pipelines from raw data through to labels.	Image, Video, Text, Audio, 3D and sensor	Not published (quote on request).
10	Encordencord.com, read Nov 7, 2026	Software to organize, curate and label multimodal data, whether images, video, documents, text or sound.	Image, Video, Text, Audio, 3D and sensor	Not published (quote on request).

We can earn a fee from vendors in this table when a team we introduce hires them; rows stay in scoring order regardless.

Which vendors sell both?

They sell a tool and can also staff the work, which lets you switch between models without changing vendor.

Overall rank	Company	What it says it does	Modalities	Published pricing
1	Kili Technologykili-technology.com, read Nov 7, 2026	Platform for labeling, evaluation and post-training data; Kili can also supply specialist annotators.	Image, Video, Text	No-cost trial for 2 to 5 seats and at most 100 assets; Grow and Enterprise sold on custom terms.
5	Labelboxdocs.labelbox.com, read Nov 7, 2026	Labeling software metered in its own Labelbox Units, with the option of buying labeling services alongside it.	Image, Video, Text, Audio, Code	Billed in LBUs, e.g. 1 per image row (Annotate) or 20 per row (live multimodal or LLM work). LBU dollar rate not shown. Free tier: 500 LBUs monthly.
6	SuperAnnotatesuperannotate.com, read Nov 7, 2026	Software for producing labeled, evaluation and fine-tuning data, sold in Starter, Pro and Enterprise tiers.	Image, Video, Text, Audio	Three tiers (Starter, Pro, Enterprise) bundling 1K, 2.5K or 10K Orchestrate compute hours. Prices not shown.
9	Scale AIscale.com, read Nov 7, 2026	Collects, curates and labels training data in text, images, video and fused 3D sensor data, and evaluates models.	Image, Video, Text, Audio, 3D and sensor, Code	Not published (quote on request).
12	Centificcentific.com, read Nov 7, 2026	Sells AI Data Foundry: software and services for gathering data, preference and SFT sets, RL environments, safety tests, and a data market.	Image, Video, Text, Audio	Not published (quote on request).
15	CloudFactorycloudfactory.com, read Nov 7, 2026	Supplies a managed workforce plus its own data platform (Vision AI is one of its tools) for labeling and human review in the loop.	Image, Video, Text	Not published (quote on request).
17	Snorkel AIsnorkel.ai, read Nov 7, 2026	Sells expert-built data as a service: training sets, benchmarks and evaluations, mainly to AI labs and large companies.	Text, Code	Not published (quote on request).

We can earn a fee from vendors in this table when a team we introduce hires them; rows stay in scoring order regardless.

How do you decide?

Answer three questions in order.

Do you have people who can label? If not, start managed. Hiring and training a labeling team takes longer than most projects allow.
Can the data leave your environment? If not, favor a platform you can self-host or run in your own cloud, or a managed vendor that works inside it.
Is the work one-off or ongoing? One large dataset favors managed. A steady flow of new data often ends up on a platform with a small in-house team.

The longer argument, with costs, is in our post on the same choice.

Where these facts come from

Questions about managed and platform annotation

What is the difference between a managed annotation service and a platform?

A managed service sells finished labels: the vendor hires, trains and manages the annotators. A platform sells software: you bring the people. Many vendors offer both, either as one contract or as an add-on.

Which is cheaper?

The platform fee is usually lower than a managed price, but it leaves out labor, training and review. Count your own team's hours before deciding; the cheaper option on paper is often the costlier one in practice.

Which is more secure?

A platform can keep data inside your own environment and team, which helps under strict rules. Managed services can also be secure; ask for their SOC 2 or ISO 27001 report and where annotators work.

Can I start managed and move in-house later?

Yes, and it is common. Choose a vendor whose tool you could keep using, or make sure labels and guidelines export in a standard format so you can move them.

Managed annotation service or labeling platform?

How do the two models compare?

Which vendors sell a managed annotation service?

Which vendors sell a labeling platform?

Which vendors sell both?

How do you decide?

Questions about managed and platform annotation

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