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theentrepreneurstories.com > Blog > Startup > I Failed Twice. Then I Built ARBEIT AI.
Startup

I Failed Twice. Then I Built ARBEIT AI.

Puneet Yadav
Last updated: February 26, 2026 10:05 am
Puneet Yadav Published February 26, 2026
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A founder’s honest account of getting it wrong and what happened when he finally got it right.

By Dr. Darshan Reddy

Founder & CEO, ARBEIT AI  ·  Bangalore, India

I did not start ARBEIT AI because I had a great idea on a whiteboard. I started it because I watched a real problem go completely unsolved  year after year  by platforms that I taught would  fix it. India’s Retail and Hospitality sectors employ millions every year and growing at 13%YoY, churn through people at a staggering rate of 79% and somehow the biggest hiring platforms in the country had not tried to solve the core problem.

I thought: someone has to. So it might as well be me.

What followed were two of the most humbling years of my professional life.

The First Mistake

When I started what was then called Arbeit Nexus, I was confident in the idea.  Recruitment platform, built exclusively for Retail and Hospitality industry. A focused bet on a massively underserved market. I knew the problem. What I didn’t know was how to build a product.

So I did what many first-time founders do. I outsourced the technology.

Nine months. That’s how long it took for the project to go nowhere. Nine months of delays, miscommunication and a product that looked nothing like what I had imagined. By the time something emerged, we had no revenue, a team of experienced people running on belief alone and a platform that simply didn’t work the way it was expected.

I sat with that failure for some time. Not because I wanted to  but because the problem I was trying to solve was still very real, and walking away felt like abandoning a purpose why I started this company.

The Second Mistake

I tried again. This time, I went to the builders who had developed a competitor’s platform at their initial time, reasoning that if they’d done it once for someone in this space, they could do it again, better, for us.

They did fine work. But it still didn’t work out for us. The product didn’t reflect my vision. When you outsource your technology, you also outsource your thinking. Every feature becomes a negotiation. Every idea gets filtered through someone else’s priorities and timelines. I kept compromising on things I shouldn’t have compromised on.

Two outsourced builds. Months of runway burned. And a problem that remained completely unsolved in the market.

Two Months of Silence

Went silent for two months. Not to rest – to think. To ask myself honestly whether the idea was wrong, or whether only my execution had been. And to ask myself what I actually knew about the world that nobody else had built around yet.

That’s when I encountered what AI was beginning to make possible. Not AI as a buzzword  but genuinely agentic systems that could personalise, predict, and proactively act on behalf of both employers and candidates simultaneously. Two-sided problems that had always required armies of consultants could now be handled with intelligence that scaled.

The problem I had been trying to solve wasn’t just a platform problem. It was an intelligence problem. And for the first time, I had a real answer to it.

Building It Right

I built an in-house technology team at ARBEIT AI. No more outsourcing. Four months of building, refining and truly understanding what the product needed to be  before a single client ever saw it.

We built an Agentic AI driven hyper personalised recruitment tech for retail and hospitality industry.

When we launched, the pilot response was something I hadn’t experienced in all the previous attempts. People loved it. Employers told us our AI agents reduced up to 90% of their hiring workload. The system worked on both sides at once –  functioning as a hiring copilot for employers, predicting and reducing attrition through predictive analysis and intelligent benching, while Aria, our AI advisor, guided candidates through every step of their career journey with genuine personalisation.

Today, ARBEIT AI has become an ecosystem for everything an employer and candidates would ask for.

What I Learned

The lesson isn’t that outsourcing is wrong. The lesson is that you cannot outsource your conviction. When you don’t own your technology, you don’t own your vision. And if your vision is the only thing keeping you going through two failed builds and eight months of nothing, you cannot afford to let anyone else hold it.

Adaptability isn’t giving up. It’s refusing to give up on the destination while being completely willing to change the route.

My goal has always been simple. Build a world-class product from INDIA that solves a real problem- for India first, and for the world over time. A platform built not for a pitch deck, but for the millions of candidates and the millions of businesses that depend on getting hiring right.

ARBEIT AI is that platform. It took two failures and two months of honest reckoning to get here. But the problem was always real. And now, finally, so is the solution.

Dr. Darshan Reddy is the Founder & CEO of ARBEIT AI (Arbeit Sphere Nexus), an agentic AI-driven recruitment platform built for India’s Retail and Hospitality sectors. He is based in Bangalore, India.

Contact: info@arbeitnexus.com  ·  www.arbeitnexus.com

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