Whether your project is large or small, simple or complex, our cost-effective data annotation and back-office services can help with most data use cases.
CloudFactory offers a great price in several ways. They lower our overhead costs and offer on-demand pricing. CloudFactory also saves us a lot in development costs because now we don’t have to build tools to improve the capture process.
CloudFactory’s pricing was competitive - not the cheapest but not the most expensive. We knew from the outset that we weren’t trying to find the absolute cheapest option, but rather the highest quality option we could afford to sustain. We liked the visibility we had into how pricing would scale as our commitment grew over time.
It’s easy to discount how hard it is to find people that are good, affordable, consistent and reliable. It’s hard to hire for. CloudFactory has it figured out. Not only is it way less expensive than if we did it ourselves, it just takes so much pain off our plate.
Many data annotation and processing companies use piece-rate pricing based on individual tasks, such as the number of images to be annotated or pieces of data processed. We find that to be a strange way to price data projects because it often works against you. We think you ought to benefit as the people on your data team become more efficient in the work they do for you, acquire domain knowledge, and get your work done more quickly.
Hourly pricing is a controlled variable you can trust, especially as the inevitable edge cases and task adjustments come up and as our analysts work on new and different projects over time.
On our platform, you’ll see how many hours we delivered and how many tasks we completed in a given period. Combine that with your hourly rate, and the effective cost per task becomes clear. The hourly model also avoids information asymmetry, which happens when one party has more or better information than the other, potentially leading to an unfair deal when pricing is piece-rate.
With work metered and billed by the hour, supported by clear throughput and quality KPI tracking along the way, we’ll focus our partnership energy on execution, optimization, and value rather than regular renegotiation of price and scope as your work evolves.
As we collaborate and incorporate additional technology and process efficiencies into the work, you may actually see your effective cost per task progressively decrease—savings you can’t access with a locked piece-rate.
|Data Annotation Solution||Managed Workforce|
|Standard features included with services||
|Available upgrades for all services||
|Bring-your-own-tool (BYOT) option
Commercial, open source, or proprietary
|Responsibility for tool setup, maintenance, and uptime||CloudFactory||Client|
|Guarantees a workforce with prior experience on toolset used||Yes||No1|
1Our managed workforce has worked with nearly every open source and commercially available data annotation toolset, as well as client-developed proprietary tools. We’ve even processed very large volumes of data via spreadsheets. In many cases we are able to staff your team with data analysts who have previous experience on your tool of choice. In other cases, we will use our proven approach to train and scale your team quickly.
There are several factors that go into our hourly rates, such as the number of hours contracted per month, the task type, type of tool used (managed workforce services only), and optional add-ons. Contact us to request a quote for your project.
Our workforce delivers high accuracy, can iterate processes in real time, and can establish the domain knowledge required to resolve even the toughest edge cases.
Scale image and video annotation with pixel-level accuracy by trained and professionally-managed data annotators.
Scale text and audio annotation with a team skilled at understanding and interpreting complex, nuanced language.
Optimize your business operations with a flexible, managed workforce for data processing and other back-office tasks.
We’d love the opportunity to answer your questions or learn more about your project. Let us know how we can help.
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