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StoryTiling provides a platform for personalized recognition videos, enhancing employee engagement. It integrates anthropological insights with technology, automating narrative-driven messages to foster stronger workplace relationships. The core product helps organizations capture and share meaningful personal stories, transforming traditional recognition into a more impactful, human-centric experience.
Dr. Aliaa Remtilla, an anthropologist and filmmaker, co-founded StoryTiling in 2021, serving as Chief Scientist and CEO. Her insight emerged from documenting her 90-year-old grandmother's life story, revealing the profound impact of preserved narratives. This experience inspired her to apply deep human connection and authentic storytelling principles to professional environments, addressing the need for meaningful interaction.
The platform serves companies building connected cultures, improving employee engagement, and enhancing retention via unique recognition. StoryTiling’s vision cultivates appreciative workplaces by making individual experience sharing accessible and scalable. It enriches professional relationships and reinforces belonging among teams.
StoryTiling has raised $190K across 1 funding round.
StoryTiling has raised $190K in total across 1 funding round.
StoryTiling has raised $190K in total across 1 funding round.
StoryTiling's investors include KittyHawk Ventures, Metagrove Ventures, Kevin Zuber.
StoryTiling has raised $190K across 1 funding round. Most recently, it raised $190K Seed in June 2021.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jun 1, 2021 | $190K Seed | — | KittyHawk Ventures, Metagrove Ventures, Kevin Zuber | Announced |
StoryTiling is a Sydney-based technology company that builds a platform for creating personalized recognition videos to boost employee engagement, retention, and company culture.[2][3][5] It serves businesses seeking to make recognition authentic and scalable by automating the collection of personal messages from teams and colleagues, transforming them into meaningful videos grounded in social sciences.[2][4] The product addresses the challenge of generic employee recognition, fostering connection and inclusivity amid rising demands for stronger workplace cultures, with early operations indicating a lean team of about 3 employees.[5]
StoryTiling emerged as a Technology, Information, and Internet company headquartered in Sydney, New South Wales, though specific founding year, founders, or detailed backstory remain undisclosed in available records.[5] Its idea likely stemmed from observing gaps in employee recognition practices, evolving into a platform that leverages technology and social sciences for automated, personalized video creation.[2][3] Early traction focuses on corporate clients needing tools for culture-building, with no public pivotal funding rounds or investor details noted yet.[1][4]
StoryTiling stands out in the employee engagement space through these key strengths:
StoryTiling rides the wave of employee experience platforms amid post-pandemic shifts prioritizing mental health, hybrid work, and retention amid talent shortages. Timing aligns with market forces like rising HR tech investments—global employee engagement software markets are expanding rapidly—where personalized tools counter burnout and disengagement.[2][3] It influences the ecosystem by democratizing high-touch recognition for mid-sized firms, potentially amplifying trends in AI-driven culture tech while competing in digital storytelling for workplaces.[1]
StoryTiling is poised to scale by integrating AI for faster video generation and broader integrations with HR systems like Slack or Workday, capitalizing on momentum in culture-tech amid economic pressures on retention. Trends like remote-first teams and DEI mandates will shape its path, potentially drawing funding to expand beyond Sydney.[1][5] As it evolves, expect greater influence in making recognition a core workplace staple, directly tying back to its mission of authentic connections that drive business results.[2]