ADD IQ TO AI

Expert-Driven Pipelines,

On Your Timeline

Improve model performance using curated data, human reviewers, and flexible workflows.

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Improve Model Accuracy

Enhance your model's performance through better data quality and evaluation:

Collect edge case date

QA & Judge training data quality

Re-annotate low quality data

Evaluate model responses

Looping in the Best

Whether you’re working with rare languages or medical imaging, your data is only as good as the people validating it. Work with highly-skilled data labellers who have expertise in your industry.

Data labeling can be tricky—ensuring accuracy, scaling for large datasets, and tapping into the right domain expertise are just a few of the challenges. Throw in issues like bias, data privacy, and the risk of annotator fatigue, and it's clear that high-quality, efficient labeling is no easy feat. Using experts can drastically improve accuracy by up to 25% for complex AI models. 


At Perle, we’re solving the toughest data labeling challenges with the perfect blend of expert knowledge and innovative Machine Learning tools, helping your AI learn faster, smarter, and with unmatched precision.
Our expert-in-the-loop solution blends advanced AI with specialized expertise from fields like language, medicine, and science, ensuring your models receive high-quality data. With a global network of professionals in over 70 countries, we provide the precision needed to optimize model performance and help your business gain a competitive edge.
Great results begin with the right expertise. Perle connects you to top professionals who truly understand your industry. Our data labeling solutions equips these experts with the right tools, training, and fair compensation, ensuring that quality and productivity go hand in hand to set your project up for success from the start.
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Keep Your Scope in Scope

Translate business and research goals into precise data-labeling and model-training specifications, improving clarity and saving time. 

Defining clear project requirements can often be one of the biggest bottlenecks in AI development, slowing down progress and creating unnecessary roadblocks. At Perle, we solve this challenge with an AI-powered assistant that translates your business and research goals into precise model-training specifications, saving you valuable time and effort.
By providing clear, actionable requirements right from the start, we eliminate ambiguity and ensure your team has everything they need to move forward quickly. This clarity helps you avoid unnecessary delays, ensuring your AI project stays on track and progresses efficiently toward its goals.

Coming soon to help accelerate your AI development process.
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Stop Wasting Time on Data Prep

Perle’s QA technology flags duplicates, near-duplicates, or contradictory entries, before enriching raw datasets with metadata and context.

As a data team, you’re all too familiar with the bottlenecks in data cleaning—duplicate entries, inconsistencies, and missing context that slow you down. At Perle, we solve that problem with our automated Data Enrichment & Cleaning Protocol, which flags duplicates and adds essential metadata to ensure your datasets are ready for model training.
Once your data’s cleaned, enriched, and optimized, we make the annotation process quicker and smoother. This means teams can spot hidden insights—like misclassifications or gaps in data—faster, keeping your AI project moving with the momentum it needs to succeed.

Coming soon to help accelerate your AI development process.
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Stronger Models for Smarter Outcomes

Our Adversarial Robustness Index strengthens AI models against adversarial attacks, helping reduce security incidents and reducing false positives.

By some estimates, up to 41 percent of organizations have experienced AI security incidents, including adversarial attacks targeting machine learning models, which can cost hundreds of thousands of dollars in remediation costs and reputational damage.
Perle takes the worry out of anticipating and defending against data poisoning or model evasion with a scoring system and best practices to defend your AI.  Adversarial training exposes your model to attacks during development and validates data to remove corrupted sources and make sure your data stays strong.

Coming soon to help accelerate your AI development process.
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Get in touch

Learn how
Perle can help 

No matter your needs or data complexity, Perle's expert-in-the-loop platform supports data collection, complex labeling, preprocessing, and evaluation-unlocking Perles of wisdom to help you build better AI, faster.

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High-Quality Data at Every Stage of Model Development

Configure your workflows—acquisition, annotation, QA, human evaluation—in one interface. Set targets, allocate experts, track progress.

High-Quality Data at Every Stage of Model Development

From Start to Scale

All the AI Data Services You Need

24% benchmark accuracy lift¹ achieved under human QA.

Collect Data

High-quality, multi-modal data collection tailored to your AI model’s needs

Collect Data

Annotate & Enrich

Precise, Expert-Led Annotation for Text, Image, Video, Audio, and More!

Annotate & Enrich

Assure Quality

Thoroughly checked, reviewed, and verified by experts-from start to finish

Assure Quality

Evaluate Models

Fast, expert-driven insights to improve and validate your AI models

Evaluate Models

Engage Experts

Global specialists delivering precision and context for your AI projects

Engage Experts
Get in touch

Learn how
Perle can help 

No matter your needs or data complexity, Perle's expert-in-the-loop platform supports data collection, complex labeling, preprocessing, and evaluation-unlocking Perles of wisdom to help you build better AI, faster.

You can unsubscribe from these communications at any time. For more information on how to unsubscribe, our privacy practices, and how we are committed to protecting and respecting your privacy, please review our Privacy Policy.

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¹ Perle + DataSeeds.AI White Paper: “Peer-Ranked Precision” (2025). Fine-tuning LLaVA-NEXT on Perle’s human-verified DSD image dataset improved BLEU-4 scores by 24.09 % over the baseline on 10 610 evaluation images.

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