beecrowd

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The AI-powered ecosystem where innovative companies find the best tech talent.

Est.2021
Sao Paulo, SP, Brazil
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HC Score
109
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About beecrowd

About beecrowd

beecrowd is an AI-Powered Talent Cloud that connects innovative companies with top tech talent through a unique, global, and easy-to-use platform. We offer nearshoring, managed squads, staff augmentation, and specialized tech recruitment, providing agile, efficient, and scalable access to highly qualified professionals matched by a combination of AI and expert review. We also empower students and tech professionals and connect them with the world’s most innovative companies through on-demand talent availability solutions. With over 1 million users across more than 100 countries, beecrowd is among the largest global communities of technology professionals.

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Solution Details
Focus Areas
AI-PoweredCloud EngineersData Engineers
Industries
All IndustriesEnterpriseSMB
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LATAM
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APICurated MatchEnterprise Grade

Products

Showcase the products and solutions offered by beecrowd

beecrowd Academic

AI‑powered platform that transforms tech education through hands‑on practice, automation, and data insights.

Reduce up to 70% of professors’ operational workload with automated grading and AI‑enhanced activities

Boost class engagement by up to 50% through gamified experiences that make learning fun, motivating, and continuous

Seamlessly integrate everything into your LMS using LTI 1.3 for a smooth experience for both educators and students

Best for:Educational Institutions

Pricing

Individual plans at USD 7.99/month; Contact sales for corporate plans

beecrowd Recruiter

Build high-performing tech teams up to 50% faster with pre-vetted LATAM talent, matched by AI and expert insights for 90%+ candidate accuracy.

Your LATAM Nearshoring Powerhouse: teams with 25+ years connecting global companies with world‑class tech solutions from LATAM

Fully managed remote squads or top‑tier independent engineers, ready to plug into your roadmap

We handle the entire lifecycle - find, vet, onboard, support - so you get quality, reliability, and speed

Best for:Hiring Managers, Tech Recruiters, Talent Acquisition Teams

Pricing

Contact for Pricing

beecrowd Talent

Join a dynamic ecosystem where tech professionals and students grow, connect, and advance, learning through engaging challenges with instant AI‑powered feedback.

Unlock world‑class career opportunities: get matched with top global employers actively looking for tech talent just like yours

Level up: solve real‑world challenges, earn rewards, and sharpen your skills while proving your expertise

Join a community of the world’s brightest tech minds: connect, collaborate, and grow alongside elite developers from around the globe

Best for:Tech Talent

Pricing

Free

Historical Performance

Tracking the performance of the solution based on what's most important to you
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Qubika logo
Business Case

Identified and hired pre-vetted firmware engineers

Qubika

By leveraging beecrowd's extensive network and access to highly specialized tech talent, Qubika was able to efficiently find candidates that were otherwise difficult to source. This collaboration enabled Qubika to meet tight deadlines and strengthen their team with skilled professionals, driving their growth and success in delivering high-quality solutions.

Key Results
  • Pre-vetted firmware engineers
  • LATAM specialized talent
  • Fast time-to-hire

Skills

Recruiting
Skill
Software Engineering
Skill

Project Details

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Feb 20, 2026
Self Reported
Vale logo
Business Case

Achieved 2,300+ Candidate Evaluations in 30 Hours

Vale

Vale S.A. launched a talent insourcing program and faced an ambitious deadline to assess a large applicant pool. The company needed an efficient and unbiased way to evaluate technical skills at scale. The focus was on selecting data science and engineering professionals for artificial intelligence-related projects. Vale implemented an automated technical assessment approach to support the selection process. The process was designed to be unbiased, efficient, and clear in its evaluation of candidates’ capabilities. This enabled rapid screening while maintaining focus on role-relevant skills for AI projects. The program evaluated over 2,300 candidates within 30 hours and met the required timeline. The approach provided clarity in results to help identify the best-fit talent. It supported accurate technical assessment for the targeted data science and engineering roles.

Key Results
  • 2,300+ candidates evaluated
  • 30 hours turnaround time

Skills

Machine Learning
Skill
Procurement
Skill
Recruiting
Skill

Project Details

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Jan 28, 2025
Self Reported
SAP logo
Business Case

Streamlined Hiring and Delivered 1 Scalable Evaluation Process

SAP

SAP Labs Hungary faced pressure to recruit tech talent in a highly competitive market while maintaining high hiring standards. The existing approach needed to support global enterprise needs without adding excessive effort for internal teams. They also required a more efficient way to evaluate candidates consistently and transparently. SAP Labs Hungary implemented a scalable recruitment solution to streamline hiring. The approach introduced a more transparent candidate evaluation process designed to uphold high standards. It was positioned to support efficient hiring at scale while aligning with broader digital transformation efforts. The initiative streamlined the recruitment process and reduced the effort required to meet hiring goals. It maintained a high bar for tech talent by reinforcing consistent and transparent evaluation. The improved hiring approach supported digital transformation and helped strengthen SAP Labs' position as a global innovation leader.

Key Results
  • 1 scalable hiring solution
  • 1 transparent candidate evaluation process

Skills

Process Improvement
Skill
Recruiting
Skill
Strategy Consulting
Skill

Project Details

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Jan 23, 2025
Self Reported
Mackenzie Presbyterian University logo
Business Case

Achieved 40,000+ Enrollments by Scaling Distance Learning Programs

Mackenzie Presbyterian University

Mackenzie Presbyterian University needed to scale its online technology courses while maintaining education quality. The institution faced growing distance learning demand and required a more efficient way to manage practical programming activities. Instructors also needed faster, more consistent grading and clearer visibility into student progress. The university implemented an academic coding platform integrated into the Canvas LMS to support its online programs. The solution provided practical programming challenges and instant feedback to help students build skills. It also enabled automated grading and delivered detailed reports to support instructors’ class management. The implementation supported the scalability of distance learning programs for technology courses. Students gained expanded access to exercises and programming languages with immediate feedback to reinforce learning. Instructors optimized time through faster activity grading and used reporting to improve class management, contributing to higher overall education quality and job-market readiness.

Key Results
  • 40,000+ students enrolled

Skills

Education
Industry
Process Improvement
Skill

Project Details

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Jan 15, 2025
Self Reported
Cruzeiro do Sul Educacional logo
Business Case

Achieved Support for 500,000+ Students Across 1,700+ Distance Learning Centers

Cruzeiro do Sul Educacional

Cruzeiro do Sul Educacional needed to enhance its technology courses by better integrating practice and theory. It sought a more innovative learning experience that helped students develop technical skills through real-world challenges. It also needed to reduce manual effort for professors while maintaining quality and consistency across large-scale distance learning programs. The organization implemented an academic coding and assessment platform within its technology courses. The solution provided real-world challenges and instant feedback so students could practice and learn continuously. It automated corrections and generated detailed reports to support professors. The platform was fully integrated with Blackboard Learn LMS to enable competency-based education aligned with market demands. As a result, Cruzeiro do Sul Educacional supported learning at significant scale across its student base and distance learning footprint. Students received immediate feedback and practice opportunities that strengthened skill development. Professors saved time through automated corrections and benefited from detailed reporting. The institution improved education quality and prepared more qualified professionals aligned with market needs.

Key Results
  • 500,000+ students served
  • 1,700+ distance learning centers

Skills

Education
Industry
Process Improvement
Skill

Project Details

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Jan 15, 2025
Self Reported
Argeniss logo
Business Case

Hired Excellence Through 4+ Years of Streamlined Tech Recruiting

Argeniss

Argeniss Software, a boutique software development firm in Argentina, needed a way to source and evaluate software developers across LATAM at high volume. Their existing approach required faster, more rigorous screening to ensure access to high-caliber professionals with proven technical expertise. They also needed to strengthen their reputation and visibility within developer communities. Argeniss implemented a high-volume recruiting solution to source and assess software developer candidates across LATAM. The approach enabled them to evaluate hundreds of candidates quickly and rigorously using proven technical assessments. It also supported their efforts to improve employer branding among developers. Over the partnership, Argeniss streamlined its recruitment process and maintained access to high-caliber, pre-vetted technical professionals. The solution helped them assess hundreds of candidates quickly while improving their employer branding within developer communities. The partnership continued into its fourth year as their recruiting needs scaled across the region.

Key Results
  • 4+ years partnership
  • Hundreds of candidates assessed

Skills

Technology
Industry
Brand Design
Skill
Process Improvement
Skill
Recruiting
Skill
Software Engineering
Skill

Project Details

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Dec 1, 2024
Self Reported

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