Enterprises Choose Alegion for Three Reasons
The Alegion data annotation platform’s flexibility and configurability make it suited for challenging and sophisticated ML use cases that other platforms can’t handle.
The platform’s patent pending integrated ML increases workforce efficiency and reduces labor costs over the duration of every project.
Only Alegion provides a complete, full-service training data solution, with a true data annotation platform, a scalable trained workforce, and a team of ML project management experts.
How It Works
Bring us your data and requirements, we’ll take care of the rest
We accelerate and de-risk your ML projects
Most of our customers try to label their own training data. The scale and complexity of managing an in-house annotation solution often overwhelms them. Nearly 80% of projects stall. We're here to help.
Our Platform Touches And Manages Every Part of Your Project
We Configure Annotation Tasks That Support Your Training Requirements
We Size and Curate The Right Workforce For Your Project
Platform ML Watches Workers, Learns, Then Boosts Their Efficiency
Enterprise security is in our DNA
We fully understand how strenuously you guard your data and ML investments. We’ve crafted every aspect of our offering around meeting your security needs. Data encryption. Secured data transfers. Worker background checks. Badged facilities and NDAs. PCI, ITAR, HIPAA. Data custody. You may not need it all, but It’s all there.
This isn’t our first rodeo
Rockstar customer. Bet-the-business project. This is the world we work – and thrive – in. Our business is built for the enterprise. We know you have high expectations, and we expect to exceed them.
This depth of experience and confidence comes across in our customer interactions. You will feel it, too.
Any Volume of Data
Trained Data Specialists
The Accuracy You Need
We don’t make you choose
Quality, Scale, Speed
We don’t require you to make a trade off between quality, scale, or speed. Our platform, people, and process are designed to work together to deliver high-quality data labeling.
We need to go faster
We have huge volumes of data
And we need near-perfect data quality
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