Every day, employees and creators generate massive value through invisible work: collaboration, problem-solving, and early-stage engagement that traditional systems ignore. Multiplyi fixes this with an AI platform that programmatically measures this unseen activity and turns it into TIME, which users can redeem for everyday brand rewards.

With over 22,000 users across India, the Netherlands, and the US, Multiplyi is targeting the $1B employee recognition market and $310B creator economy. We sat down with the founder, Anchala Tomar, to discuss their vision, market strategy, and live round on Leapfunder.

• Hi Anchala, thank you for agreeing to do the interview. Tell us about Multiplyi and the idea that got it all started.

Multiplyi started with a simple idea: if you create value, you should get a part of that value back. Today, employees and creators create a huge amount of value every day, but most of it is hard to measure, goes unrecognised, or gets captured somewhere else.

We built Multiplyi to make that value visible and reward people for it. We use AI to understand meaningful activity and outcomes, then turn them into TIME, which you can use for rewards from everyday brands. Whether you’re creating value at work, through content, or through your everyday participation, the principle is the same: you create value, we measure it, and you get some of it back.

• What problems are you trying to solve? What are the benefits of Multiplyi?

On platforms like Instagram and YouTube, creators can generate huge amounts of value but usually need significant scale before they earn from it. Inside companies, employees are rewarded for outcomes, while a lot of the work that creates those outcomes – collaboration, problem-solving, follow-ups, and smaller contributions remains invisible.

Multiplyi brings both sides into one system:

• For Digital Creators: Earn recognition and rewards early on without needing massive scale first
• For Employees & Businesses: Programmatically measure invisible contributions, make them visible, and reward TIME

That TIME can then be exchanged for rewards from everyday brands, giving employees a new way to save money on things they already buy.

• You have a live round on Leapfunder. What makes it the right tool for your startup, and what do you expect from the round?

Leapfunder gives us access to strategic angels while keeping fundraising simple for both us and the investors, so it solves two things at once.

Because we’ve always been capital-efficient, we care a lot about who comes on board. We’re looking for people who bring relevant experience, networks, and access to customers, not just capital. The goal of this round is to bring the right people in, build over the next six to seven months, and get ready for the institutional round.

• How much growth potential do you see for Multiplyi?

Apart from a $1B employee recognition market and a $310B creator economy, I think Multiplyi’s real growth potential lies in changing how we reward people.

We’ve grown up with systems that reward the final outcome: the sale, the successful project, the number of followers. While a huge amount of work happens in between that never gets recognised. With Multiplyi, we can measure that activity programmatically and reward people for the contribution they make along the way, making the journey matter, not just the destination.

The idea is to move from a “winner takes all” model to one where meaningful effort gets recognised and rewarded too.

• What are your plans for the upcoming months? Tell us about your go-to-market strategy and your plan for acquiring customers.

The plan is to keep scaling what we already know works. We’ve grown to 22,000+ users across India, the Netherlands, and the US without running ads, largely through college event partnerships, and that engine will keep running.

At the same time, we plan to work closely with three businesses that will come on board as our founding partners for the B2B employee recognition proposition. The idea is to learn from these companies, understand what works and what doesn’t, and use that learning to strengthen the product before we scale it more broadly.

Thanks for sharing your journey with us, Anchala. We wish Multiplyi the best of luck.

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