Level Up Your LLM’s Code Output with Proprietary Human Data

Give your LLM an unfair advantage with high-quality SFT, RLHF and DPO code training, powered by Latin America’s largest network of 400,000+ skilled, vetted software developers.

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Code-First Focused

Our network of highly skilled developers specializes in precision code-output annotation, ensuring your LLMs learn from the best.

On-Demand Scalability

Do your post-training needs ebb & flow? No problem. Think of us as your flexible on-demand “human data as a service” solution.

Full-Service, High Quality

We build, vet and manage a team of model trainers to deliver the quality data you demand, while you focus on your model.

Latin America's Largest Network of Skilled Coders

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400k+

Vetted Software Engineers

100+

Programming Languages

200+

Language Frameworks

High-Quality Human Data

Every developer in our network passes rigorous vetting assessments and only the top 2% make the cut. Combined with thorough quality assurance processes, you'll get the highest-quality human data to train your LLM.

  • Deep domain knowledge: Our developers understand ML systems from the ground up, so they know exactly what makes training data valuable
  • Rigorous validation: Every piece of data goes through multi-stage quality checks before it reaches your model
  • Built for scale: Whether you need thousands or millions of data points, our process maintains consistent quality at any volume
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On-Demand, Scalable Capacity

Our network complements your existing labeling team, scaling from zero to hundreds of developers within hours - all while maintaining the quality standards your LLM requires.

  • Seamless scaling: Deploy additional coders when you need them, with zero compromise on quality
  • Consistent standards: Our validation protocols stay rock-solid wether we're processing hundreds or millions of data points
  • Efficient resources: Scale up or down based on your needs, with transparent pricing and no hidden commitments
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We Handle Everything

Your research team needs clean data, not operational headaches. We take care of sourcing and managing experts, quality controls, and delivery pipelines - so you can focus on building great models.

  • Complete operations: We manage all the human logistics - hiring, training, quality control, and scaling happen behind the scenes
  • Direct to research: Your team gets clean, formatted data, ready for training - no preprocessing or validation needed
  • Quality you can trust: Built-in quality metrics and validation reports give you confidence without requiring hands-on oversight
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Data Governance,
Your Way

We adapt to your workflow. Whether you prefer us working directly in your platform or using our API and tools - it's your call. Most teams choose native integration to keep their data close, but we're flexible.

  • Your choice: Use your platform or ours - we're happy either way
  • Data stays put: When working in your environment, everything follows your security protocols
  • Full flexibility: Whether you want us using your tools or our battle-tested workflow, we'll make it work
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“The Revelo team gets it—they always anticipate our needs. It’s clear they’re well setup for enterprise-grade deliverables.”

_________

Rahim M.
Director of Product

A Trusted Solution For High-Quality Training Data

1.
Understanding Your Goals

We kick things off by diving into your LLM’s needs. Whether it’s Supervised Fine-Tuning, Reinforcement Learning from Human Feedback, or Direct Preference Optimization.

2.
Building Your Expert Team

From our network of 400,000+ skilled developers, we assemble a bespoke team tailored to your project. They’re vetted, trained, and laser-focused on delivering precise code annotations.

3.
Refining and Labeling

Your code outputs are meticulously reviewed, labeled, and refined by our experts. Every step is guided by rigorous QA standards to guarantee accuracy and consistency.

4.
Integration-Ready Delivery

Once completed, the annotated data is delivered in a format that seamlessly integrates into your training pipeline—helping your model improve faster with minimal effort on your end.

5.
Iterate
and Scale

Need more? We’re built to scale with you, handling fluctuating demand without skipping a beat.

Case studies: Real Impact for Leading AI Teams

Quality Optimization

Enhanced evaluator effectiveness through systematic process improvements

Process Improvements

Implemented live collaborative review sessions

Created detailed quality evaluation framework

Deployed real-time performance monitoring

2.5x

Activation Improvement

14%

Activation Rate

+28

Weekly Experts

24/7

Expert Support

Rapid Scale

Major AI lab needed to scale code evaluations with unpredictable demand

Process Improvements

Handle 40% week-to-week demand volatility

Maintain quality during rapid scaling

Deploy specialized evaluation teams quickly

15x

Scale Increase

40%

Demand Volatility Handled

3mo

To #1 Supplier

2.9k

Peak Weekly Hours

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Frequently Asked Questions

A Revelo é um banco?

A Revelo não é um banco, mas nosso sistema de transferência de pagamentos funciona por meio de contratos entre empresas e contratantes. Graças às nossas parcerias com terceiros, conseguimos oferecer taxas de transferência muito abaixo do mercado. Além disso, nosso modelo de negócios diversificado nos dá uma vantagem competitiva única. Aproveite essa oportunidade para economizar e receba seus pagamentos de forma eficiente com a Revelo!

What languages/frameworks can you handle?

Our network of 400,000+ experienced engineers includes experts in every coding language that exists.

How quickly can you scale up?

Our technology allows us to scale up and down extremely quickly. We can typically spin up new evaluation capacity within 48 hours, and can onboard hundreds of new developers to your project every week.

How involved do we need to be in the process?

As much or as little as you want. Some clients are hands-off and just want the data, others want to deeply collaborate on evaluation criteria. We're flexible—though we do recommend initial calibration sessions to align on quality standards.

How do you handle data quality issues?

Data quality is the most important issue that we focus on. To have a detailed conversation about our processes and systems we use to ensure high-quality data, get in touch with our team.Can we pilot with a small batch first?Yes! Most clients start with a pilot project—usually a few hundred evaluations across different problem types. This lets us calibrate our process to your needs and demonstrate our quality before scaling up.

Can we pilot with a small batch first?

Yes! Most clients start with a pilot project—usually a few hundred evaluations across different problem types. This lets us calibrate our process to your needs and demonstrate our quality before scaling up.

Can your developers work on our tooling?

Yes. If you prefer, we provide both API access and custom integrations. We can plug into your existing workflow whether you're using a third party platform or you own proprietary platform.

Ready to Give Your Foundational LLM
An Unfair Advantage?

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