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Experfy

Pipelines and hires curated AI, data, and engineering talent with speed and efficiency.

Est.2014
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Solution Highlights

Products

Showcase the products and solutions offered by Experfy
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Experfy On-demand Marketplace

A short-term project or a long-term job, you can turn to Experfy for faster, reliable and cost-effective recruitment of curated and vetted talent. Experfy is assembling some of the most prestigious talent in virtualized space, giving you the convenience and flexibility of hiring on-demand.

Curated and vetted AI, data, cloud, and engineering talent

Supports projects and full-time roles

Faster, cost-effective recruitment

Best for:Hiring managers and talent teams needing curated experts fast

Pricing

On-demand

Experfy Talent Acquisition Platform with AI Copilot

A comprehensive platform for talent acquisition, pipelining, and management backed by an ATS and Recruitment CRM. AI and machine learning work with subject matter experts to give organizations an edge in the talent market.

ATS and Recruitment CRM

AI/ML-assisted sourcing and matching

Talent pipelining and management

Best for:Talent acquisition and HR teams

Pricing

SaaS

Performance

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

Improved Macy’s margin decisions

Macy's

Experfy delivered analytics talent to refine Macy’s assortment planning, merchandise mix, and margin decisions through rapid analytics sprints.

Key Results
  • Accelerated assortment and merchandising analytics sprints
  • Supported margin uplift with data-driven decisions
  • Delivered faster insights via specialized analytics talent
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Jan 15, 2026
Self Reported
VistaPrint logo
Business Case

Increased personalization test velocity

VistaPrint

Experfy placed data science and experimentation talent to ramp personalization testing speed and improve VistaPrint’s customer experience.

Key Results
  • Increased personalization experimentation velocity
  • Improved customer experience with data-driven testing
  • Scaled analytics capacity via on-demand experts
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Jan 11, 2026
Self Reported
Keurig logo
Business Case

Reduced stockouts with demand-planning overhaul

Keurig

Experfy deployed data and analytics experts to tighten demand forecasting, align supply to retail signals, and lower stockouts for Keurig Dr Pepper.

Key Results
  • Built data-driven demand forecasts to cut stockouts
  • Aligned supply planning to retail demand signals
  • Standardized planning cadence with analytics oversight
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Jan 11, 2026
Self Reported
Macy's logo
Business Case

Improved Macy’s margin decisions with merchandising analytics sprints

Macy's

Experfy delivered analytics talent to refine Macy’s assortment planning, merchandise mix, and margin decisions through rapid analytics sprints.

Key Results
  • Accelerated assortment and merchandising analytics sprints
  • Supported margin uplift with data-driven decisions
  • Delivered faster insights via specialized analytics talent
Save
Source this exact business case
Share
Jan 11, 2026
Self Reported

Qualifications

Certifications, badges, customers, and features that qualify this solution

Features

Curated Match
Interview Support
Managed Service
Team Capacity
Vetted Talent

Focus Areas

Specialized areas the solution focuses on. The best solutions specialize in niches across skillsets, functions, industries, regions, and more.

AI
Cloud
Data
Engineering

Category

General category of the solution.

Talent Platforms

About Experfy

Experfy is a Harvard Innovation Lab-incubated talent marketplace that pipelines and deploys vetted AI, data, cloud, and engineering experts for projects and full-time needs, combining curated hiring with faster, cost-effective delivery.

Additional Details

Customer Regions
US
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Human Cloud is a global workforce advisory firm that helps Fortune 500 companies future-proof their workforces through cloud-driven talent solutions. Led by CEO Matthew Mottola and Head of Enterprise Strategy Tony Buffum, the firm has been at the forefront of AI, talent platforms, and enterprise adoption since 2012.

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