How we raised a million dollars in seed funding — Part I

Startup fundraising is a heavily discussed topic in the startup ecosystem. While you’ve probably read many articles about startups successfully raising multiple rounds of funding, it is not often you get to hear the stories behind them. This is ours.

Table of contents

Startup fundraising is a heavily discussed topic in the startup ecosystem. While you’ve probably read many articles about startups successfully raising multiple rounds of funding, it is not often you get to hear the stories behind them. This is ours.

This is the first part in a three-part series on our experience with fundraising. Part 2 can be found here.

Startup fundraising is a heavily discussed topic in the startup ecosystem. While you’ve probably read many articles about startups successfully raising multiple rounds of funding, it is not often you get to hear the stories behind them. This post is an attempt to provide an insight into startup fundraising, from the point of view of HyperVerge by taking you through our thought processes, decisions, and learnings.

The two most crucial rounds that a startup will raise are Seed-Funding and Series A. Most startups fall through the big crevice between starting a company and securing seed-funding. A big chunk also falls through the crevice between seed-funding and Series A. Those who survive these 2 phases, would have tasted customer engagement, retention and distribution in some manner or the other for their product. Most importantly, they would have figured out what the one thing (or a very small set of things) they need to keep working on to grow the business is.

HyperVerge 1.0

From 2012, Vignesh, Kishore and I along with other members of Computer Vision Group were working on consulting assignments. We were approaching different companies in India hoping to solve a real problem using the technology that we had learnt over the past 4 years. HyperVerge 1.0 was started in Dec 2013 as a private limited company in India. We started the company primarily because we had to have an official entity to which we could bill various clients (such as Indian Railways, ITC, and MRF) with whom we were working on industrial automation projects. We hoped that one of our prototypes or pilot systems would solve a painful problem for these large organizations and we would get a bulk order. We figured that one of these bulk orders would be the spark we needed to ignite the fire and make HyperVerge a real company.

Unfortunately, that did not happen. While we could solve the technology problem in 6–12 weeks, the problem we seemed to have absolutely no logical solution to was that of securing a real purchase order for enterprises. Time and again, we would feel hopeful, only to be disappointed a few weeks later. Yet, we persevered. In the meanwhile, a bigger problem for us was that while we waited for these projects to move forward, our technology team had no direction. When smart people come together to work on a problem, it is because they are facing a challenge that overwhelms them and pushes the team to the edge of its abilities. That was not happening. Something had to be changed.

Key Learnings

– It is not easy to sell disruptive technology to brick and mortar businesses, especially those that belong to the previous generation. No sale is complete till money hits your bank.
– If your team comprises of a very talented set of people (with high opportunity costs), they need a challenge much bigger than their abilities. A problem that can be solved in 6–12 weeks cannot keep such a team motivated, calm or happy

Birth of HyperVerge 2.0

HyperVerge 2.0 started in Mar 2014. We had learnt a lot of lessons from HyperVerge 1.0, and we were determined to follow them. They were

– Avoid hardware-based systems in Computer Vision (hardware is heavily dependent on the particular geography).
– Work on a product that has network effects (every new user of the product increases the overall value to people already in the network).
– Choose an area that has a high barrier to entry (No college kid should wake up tomorrow and build the same thing in a couple of months 🙂 ).

We played around with many ideas and decided to narrow down on a few. We brainstormed with and took advise from our advisors, and Vignesh’s guide Prof. Anurag Mittal. The first idea we had was to build a smartphone application for photo organization using deep-learning. The second idea we had was video processing on the cloud. Idea 1 interested us more. However, we deployed 2 tech teams, one for each idea. We started working with high intensity. Lema Labs office became our workplace. We set a target that we are going to launch whatever product comes out in Summer. The work started becoming more serious with every coming day.

Key Learnings

– It is important to move on in life. Sometimes, you spend a lot of time working on something and give your heart to the process but you fail to create momentum. It’s okay.
– Do not keep doing the same thing again and again. When you are sure that you have given your best effort and there is nothing more you can do, move on. Shake things up.

Picsaur for Photo Organization

Soon, most of the resources in the team were aligned towards the photo organization app. We wanted to create an app in which users would be able to search through all the photos on their phone. Simply searching with phrases such as “Photos of Kedar, Vignesh, Kishore at a beach” would bring up the right photographs.

The app was named Picsaur (Dinosaur of all Pictures ). The choice of name was largely driven by the domain name that was available. Many people pointed out to us that it sounded a lot like ‘Pixar’, but we always fought back. It seemed to work well in our minds, until someone pointed out that Dinosaurs don’t exist anymore — so what does that say about our app. That aside, we worked like crazy. We were not wasting any working day. We pushed forward every day. There was a lot of work to be done. We had figure out deep-learning, server architecture, building an android app, workflows, design, launch, so many things.

Key Learnings

– Whatever you are working on, ensure that your team is always working with the highest possible intensity. Many times you will hit a brick wall. If you do so with high intensity you will hurt yourself but learn everything you needed to learn from that experience.
– If you do not go with the highest possible intensity, you will never know if your failure was a result of insufficient effort or a genuine reason that you had not known before.

Initial funding

We required money to build the app. I am not talking about launching here, just building. Our major expenses would be stipends for interns, logo design, promo video and travel expenses that would be incurred in raising money for next round. We approached the IIT Madras Incubation Cell for this money. Some of our advisors were disappointed that we were building an app, knowing that we were leaving behind a lot of good work in industrial automation. We did not budge. We were very clear about what we wanted and and they gave us the USD 8000 (INR 500,000) that we needed. We decided to take rest of the money as a loan from my first company, Lema Labs. Important thing being, We did not spend more that than 24 hours raising this money.

Key Learnings

  • You are going to need some funds initially to get moving. Waste as little time as possible on securing these funds.
– Anyone who is asking you for a term-sheet for this money is wasting your time.
– Calculate the time and money required to raise the next round.
– Get this money from somewhere — customers, incubator, personal savings, etc.
– I am a firm believer in not taking any money from friends and family. Why would you want to jeopardise the few places you can go to when you do not want to discuss about business?
– A source that gives you fixed runway (limited funds) is much better than a place where you can keep constantly drawing from. Limited capital and time is the best driver for focused, no-nonsense decisions that every early startup team needs to take.

Kickstarter campaign and visit to the US

Before we knew it, we had some app screens ready and the technology was coming through pretty well. We started working on estimates of the amount of money we would require to launch this, considering all possible user scenarios (5k,10k, 25k, 50k,100k, etc) We calculated the Amazon server costs that would be required to support these user scenarios. We arrived at 50–80k USD as the amount of funding we would need to raise in the next round. Most people we spoke to were skeptical of the idea. At this point, we figured that the best way to raise the money would be through a Kick-starter campaign. . We started pushing ourselves hard to get all the app collaterals in place — intro video, app screens, etc.

It was already decided that we would travel to the US, across different universities, to spread awareness for the kick-starter campaign. In case we failed to get a viral campaign, a strategic plan was also made to keep few expensive slabs ($250, $500) that we will make a lot of IITM alums sign up for. Alex, who had done a crazy exploration trip earlier, advised us that it would better if we travelled as two people instead of one (one person can break-down very fast in an unknown environment trying to raise funds). We started taking assistance from Prof. NagarajanSenthil Nathan SirRajan Srikanth and Ajit Narayanan to set up meetings with alumni across New York, Boston, Pittsburg, the Bay Area, Houston, etc. In parallel, we started reaching out to friends we had across these cities . We had Ayush and Ajinkya in NY, Arun and Shivram in Pittsburg, Advait in Boston, Manish Dada in the Bay Area. Needless to say, we had no money to manage any kind of accommodation in the US.

There were many times, when I felt like our plan was too random, and to be honest, too optimistic. We were spending a big chunk of the money we had left for this US trip, and there had been no previous example of such a trip being successful. For the first time, I was going be away from Lema Labs at a very crucial time (onset of fresh semester — beginning of sales season). However, while we never thought of it in that way, deep within we knew this trip would be the make or break event for HyperVerge. Kishore had an $80k job from Schlumberger waiting and there was no way he would have been able to convince his parents that HyperVerge was the right way to go. We knew we could not return from the US empty handed. At Lema Labs, both my co-founders had to part with the company after graduation. There was no way we were letting that happen to HyperVerge.

Kishore and Praveen took over all the responsibilities in India. Vignesh and I, for once, reached the airport on time and took the cheapest flight that we had found to New York.

Part 2


Harshitha Reddy

Content Marketing Manager

Content curator, strategist and social media maven at HyperVerge. Harshitha enjoys crafting content that humanizes and simplifies B2B tech and AI.

Related Blogs

Account Aggregator

How Account Aggregators are Reshaping the Future of Financial Data Sharing!

Dive into the complexities of managing financial data in the digital age...
Deepfakes and Camera Injections

Explain like I’m Five: Deepfakes and Image injections Part 1

Dive into the intricate landscape of face spoofing and their implications....
Different types of bank account verification

Beyond Basics: Navigating the Evolving Landscape of Bank Account Verification

Discover everything you need to know about the primary techniques of bank...