Revelo, the leading AI-powered platform helping U.S. companies find, hire, and pay elite software developers in Latin America, has officially been recognized as an AWS Services Consulting Partner. This certification unlocks access to 400,000+ vetted developers skilled in delivering cloud-native projects on AWS from day one.
In addition, Revelo has launched its LLM Post-Training Services—providing high-quality human data to help AI model makers improve code generation output—now available on the AWS Marketplace.
Key Solutions Offered by Revelo as an AWS Partner:
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AWS-Certified Developer Talent:
- Immediate access to Latin America’s largest network of AI-augmented AWS developers.
- Comprehensive support for hiring, including sourcing, payroll, benefits, taxes, and compliance.
- In-market staffing experts assist with fast hiring and onboarding, reducing timelines from months to days.
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Quality Human Data for LLM Post-Training:
- Specialized engineering services to refine AI models’ code generation abilities.
- Services include Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), and Direct Preference Optimization (DPO).
- Supported by a robust network of 400,000+ vetted developers.
Leadership Commentary
Lucas Mendes, Co-Founder and CEO of Revelo, stated:
“Being recognized as a certified AWS Partner means something concrete: our platform, processes, and developer network have met AWS’s high technical bar for enterprise-ready solutions.”
“We’re focused on solving two key challenges: connecting companies with full-time, AI-augmented AWS developers who can start shipping today, and providing high-quality human data needed to make LLMs better at generating code.”
Strengthening Engineering Teams with AWS Expertise
This partnership enhances Revelo’s dual offerings:
– A comprehensive hiring platform that provides access to AWS-certified developers with full operational support.
– A specialized AI service to improve large language model (LLM) code generation through human-driven fine-tuning and optimization techniques.
