TaskFavour: How One Founder Is Building a Human-AI Marketplace for the Future of Work

TaskFavour is an ambitious new AI startup founded by Daniel Marantz with a bold mission: to empower people in an AI-driven world.

In a world where artificial intelligence is accelerating faster than most people can adapt, one founder believes the solution lies not in resisting the tide, but in building a bridge. That bridge is TaskFavour, a mobile-first AI marketplace founded by Daniel Marantz on 1 March 2024, with a single mission: to ensure people are not left behind in the AI revolution.

Headquartered in Vancouver, British Columbia, TaskFavour may still be in its early stages, but the vision behind it is anything but small. A seasoned software engineer, Marantz has spent years working at the forefront of innovation, including roles at Rivian, Volkswagen Group Technologies, HSBC, Intel, and a China-based startup that developed live video streaming tools. His journey through sectors as diverse as automotive, banking, and consumer technology helped him identify a key problem: while AI tools were becoming increasingly powerful, they remained inaccessible to many. Businesses struggled to apply them meaningfully, and skilled individuals had no structured way to offer their AI talents to the world.

So he built TaskFavour, a platform designed to close this gap.

Daniel Marantz, the founder of TaskFavour

A Marketplace for AI-Powered Work

At its core, TaskFavour is a digital meeting place where AI-skilled professionals and businesses in need of AI-powered tasks connect. Whether it is generating marketing content, conducting complex data analysis, automating workflows, or developing custom software solutions, TaskFavour offers a human-in-the-loop system: AI solutions guided, delivered, and curated by actual people.

Unlike traditional freelance platforms such as Fiverr or Upwork, TaskFavour is hyper-focused on AI tasks and not just on the output, but on the people behind them. The platform’s current features include real-time chat, secure payment integrations (Google Pay and Apple Pay), and a streamlined task posting flow that allows users to submit any digital need, from creative work to technical build-outs. All tasks are human-moderated at this stage, with plans to roll out AI-based moderation to scale efficiently while maintaining safety.

Mobile-first from day one, TaskFavour already has native Android and iOS apps built with the latest technologies. The Android app has been approved and is ready for public launch, while the iOS version is currently under App Store review. A basic landing website is live at www.taskfavour.com to onboard early users.

Two-Sided Value

The platform serves two clear user groups:

  • Task Posters: These include startups, individuals, and enterprises seeking to get AI-powered work done without hiring full-time specialists.
  • Taskers: These are AI-proficient individuals, freelancers, engineers, researchers, and enthusiasts who want to monetise their skills flexibly and on demand.

Together, they form a two-sided marketplace that offers immediate value. For Task Posters, it solves the problem of not knowing how or where to apply AI. For Taskers, it offers income opportunities at a time when AI is changing what jobs look like across industries.

What Makes TaskFavour Different?

In Marantz’s words, TaskFavour is built for the age of AI, not retrofitted for it. While most platforms are scrambling to add AI tools or integrate plug-ins, TaskFavour was designed from scratch for a world where AI-human collaboration is the norm.

Several factors make it stand out:

  • Hyper-Specialisation: It does not compete with all-in-one gig platforms. It is built specifically for AI-driven digital tasks.
  • Human-Guided AI Delivery: It offers flexibility and oversight, blending automation with real-world expertise.
  • Mobile-First Design: Both apps were built natively, offering speed, customisation, and a smooth user experience.
  • Future-Proofing: As AI tools evolve, TaskFavour aims to integrate the most relevant ones, keeping both buyers and sellers ahead of the curve.

Early Stage, Clear Roadmap

Currently, TaskFavour is bootstrapped, entirely self-funded by Marantz. He describes this stage as being focused on stability, user feedback, and security. The user base is small but growing, consisting of early adopters testing the beta experience and providing insights for refinement.

The immediate plan is to fully launch both mobile apps and roll out an AI moderation system to improve scalability and task accuracy. This includes developing smart categorisation tools to automatically route tasks to relevant Taskers based on skill and context.

Looking ahead, TaskFavour aims to:

  • Expand beyond Canada into the United States, with plans for other English-speaking and emerging tech markets.
  • Build a referral system, launch strategic influencer campaigns, and partner with AI communities to deepen engagement.
  • Explore potential partnerships and eventually raise funds from mission-aligned investors to accelerate growth.

Competitive Landscape

TaskFavour sits in an interesting niche. While its closest competitors include general freelance marketplaces and direct AI toolkits, none focus specifically on pairing AI-skilled humans with tasks at scale. It also positions itself between AI consulting firms, which are often costly and formal, and automated AI tools, which lack the human context or creativity needed for many tasks.

In short, TaskFavour is trying to be what other platforms are not: a flexible, scalable, human-centric AI work marketplace.

At a time when job displacement is top of mind, and AI continues to unsettle traditional roles, TaskFavour offers a refreshing proposition: use AI to empower people, not replace them. It is a story of one founder building something meaningful, driven by personal experience, technical skill, and a grounded vision for the future of work.

Marantz sums it up best in the platform’s philosophy:
“Empowering human potential through AI, one task at a time.”

As TaskFavour prepares to launch its mobile apps and expand its community, it will be a company to watch in the growing ecosystem of human-AI collaboration.

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Havilah Mbah
Havilah Mbah

Havilah is a staff writer at The Algorithm Daily, where she covers the latest developments in AI news, trends, and analysis. Outside of writing, Havilah enjoys cooking and experimenting with new recipes.

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