Orchestrate
Automate & Scale Your Annotation Workflows
Stop juggling manual processes and repetitive tasks. Orchestrate transforms your annotation workflows into efficient, automated pipelines—freeing your team to focus on delivering high-quality data at scale.
Flexibility & Power
What You Can Do With Orchestrate
Automate Quality Control
Automatically run QA checks before sending annotations to reviewers, catching issues early and ensuring consistent standards.
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Leverage LLM Judges
Insert custom LLM-based evaluation steps for nuanced quality checks, improving accuracy without increasing manual overhead.
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Calculate Consensus
Build custom consensus mechanisms to refine annotation quality, reduce errors, and increase confidence in your dataset.
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Track Projects Automatically
Sync with tools like Jira or Slack so teams stay updated without constant manual reporting.
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And Everything Else
Use Orchestra’s workflow editor and Python environment to build any automation your team needs
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Everything in One Flow
How Orchestrate Works
Create Python scripts directly within SuperAnnotate, and specify the environment that you need.
Validate scripts in our built-in testing environment. Once ready, dockerize them with a click to run them reliably at scale.
Define when and how scripts run: on project updates, folder completions, status changes, and many other events .
Monitor performance in real-time and adjust your workflows as projects evolve, all within one platform.
Control with the SDK
Complete Control Through the SuperAnnotate SDK
Go beyond basic automation. Orchestra taps into the full power of the SuperAnnotate SDK and Python, letting you:
Communicate faster with built in commenting
Reassign annotators as workloads shift
Spin up new projects on the fly
Integrate seamlessly with your entire ML ecosystem
Market Leaders
With 4,9 out of 5, we’re killing it on G2
Testimonials
Hear it from our customers
"We reviewed several companies and selected SuperAnnotate due to the high quality of their data. They stand out for their data quality, attention to detail, and fantastic communication. They are an invaluable part of our data pipeline. I don’t see them as a vendor, I see them as a partner."
"By using SuperAnnotate’s data labeling tools alongside Databricks’ extensive data processing capabilities, we’ve really streamlined how we create and refine our training datasets. This means we can deliver sharp and contextually relevant advertising to our clients with greater precision."
”SuperAnnotate has been an invaluable partner in creating the golden datasets needed to benchmark our models and in enabling us to craft high-quality prompts and instructions for our LLM Judges.”
Definitely the best team of annotators I’ve seen and the platform is easy to manage. The quality is really high and consistent.”
SuperAnnotate’s platform is incredibly robust and easy-to-use. Their Data Operations team is very thorough, proactive, easy to engage, and acts as a valuable extension of Motorola Solutions’ data operations.”
SuperAnnotate has allowed us to cut over 60% off annotation cycle time. Finding annotation teams was super easy, and because they are all trained on SuperAnnotate, they are able to deliver more accurate annotations much faster than before.”
“Two years ago, our team consisted of four people who were doing a thousand images over two months. Our data scientist is doing the same amount of work today in just one week. So, if I take 4x8, we get effectively nearly 32x faster.”
“The fact that SuperAnnnotate had a local dedicated team of professionals sped up the annotation performance and improved the quality of instrument annotations. That, combined with our local QA team, made a combination of 1+1 makes 3.”
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