Taking AI lab automation to market, when I'm not singing.

I run marketing and finance at VIRAS Solutions, a Berlin startup building AI software that lets robots take over the repetitive work in diagnostic labs. Two roles that constantly disagree, and that's the point. Before that: analytics at ADP, marketing at za:media, and Evolvix, the AI product I built for my MBA thesis.

Berlin, Germany MBA · IT Management Electronics Engineering
Portrait of Abhiram smiling, in a red shirt, with the sea behind him
Usually with a backpack on
What drives me

Where marketing meets finance.

Marketing says: grow, launch, make noise.

Finance asks: do we need it, and what does it return?

Most companies keep those two in different rooms. I get to hold both in one head, and it forces a better question than either asks alone: what actually moves the business?

The answer almost always comes back to positioning. The market doesn't buy the best product. It buys the one it understands, that fits its budget and solves a problem it feels.

01 · Product marketing

Seeing the product the way the market does

Product marketing inspires me and challenges me more than anything else. It shows me a product the way customers see it, not the way we built it, and makes me answer where it really belongs and for whom.

02 · Financial analysis

Knowing what's worth doing

I like working out what's best for the company and what it actually needs. Every euro gets the same question: do we need it, and what does it return? Good numbers turn a strong idea into a company.

03 · Startup ownership

Owning it, and learning together

At VIRAS I own real decisions. Our team runs on a simple culture: let's learn together. We complement each other and respect each other's calls for the good of the company. It's what I admire most about us.

Approach

How I take on a hard problem.

Whether it's a funding plan, a go-to-market strategy or a product, I work through the same four steps.

01
AskMapBreak down

Understand it, brick by brick

I start by making sure I understand the real problem, then break it into small pieces I can actually work on.

A big problem is just small ones stacked up.
02
ResearchToolsPrior work

Look at what already exists

Has anyone had this problem before? What did they try? Which of today's tools and technology can already solve part of it?

No need to reinvent what works.
03
MarketTimingFuture

Check that it matters

Is this problem relevant to the market today, and will it still matter in a few years? If not, it's not worth solving yet.

Right problem, right time.
04
UserSimplifyDeliver

Make it simple to use

I think it through from the user's side and turn the complex thing into a simple solution that's easy to use and easy to handle.

Complex inside, simple outside.
Let's connect

Let's talk.

Good ideas usually start with a conversation.

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abhiramaravapalli18@gmail.com
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