SocialCrowd, co-founded by Raphael Akinsipe, has successfully raised $2.5 million in a seed funding round led by Bread and Butter Ventures and Augment Ventures.
This latest investment, which also saw participation from VC 414, Serac Ventures and FullCircle will support SocialCrowd’s expansion, following a $1.6 million pre-seed round in February.
The startup seeks to elevate performance and engagement among frontline and shift-based workers across industries.
“Fitbit for work” Platform
Founded in 2022, SocialCrowd has carved a niche in helping industries with high turnover rates, such as retail, manufacturing, and hospitality, boost workforce efficiency and employee satisfaction.
The platform offers a performance-driven model that allows employers to set specific goals for employees, rewarding them when milestones are achieved.
Akinsipe likens SocialCrowd’s platform to a “Fitbit for work,” empowering workers with real-time insights and incentivizing productivity gains.
“Our platform helps companies turn goals into actionable results,” Akinsipe shared according to UrbanGeekz.
“For example, a restaurant client saw a 490% surge in sales of daily specials over just three months by incentivizing team performance.”
Investors Rally Behind Workforce Transformation
This funding comes at a time when productivity-focused tech startups are seeing record investment, with business software firms receiving nearly $42 billion in funding this year alone.
Despite a dip from 2021’s record levels, there remains a demand for tools that improve worker engagement and retention in roles that cannot transition to remote work.
Scaling Up and Future Expansion
The new funds will allow SocialCrowd to grow its engineering, customer success, and sales teams as it expands its platform’s reach to a broader base of users.
Initially focused on restaurants, the startup now serves an array of frontline industries, aligning with Akinsipe’s vision of using technology to drive consistent employee engagement and satisfaction.
As the company continues to scale, it aims to incorporate AI-powered features that can further personalize and optimize its workforce performance tools.
Feature Image Credit: Raphael Akinsipe
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