Meet The 3 Founders from Harvard, Penn & Columbia, Building an Accenture-Backed AI, Growing 5x, Raised $10.5M Solving Overlooked Gaps

Every few decades, the technology world goes through a massive boom. It could be the rise of the World Wide Web or the emergence of the dotcom. And when this happens, everyone wants to be on board and experience the magic.

Very few are actually willing to build on that machinery and give it more nuance. 

The AI boom is touted to be one such moment. Ever since Sam Altman ideated ChatGPT and gave it to the world, AI in general has been having a massive moment. 

Enterprises and workplaces are racing to deploy AI agents, automate tasks, and add co-pilots to their workflows. Almost every other startup is building something similar: an AI agent. Leaders are obsessed with productivity, speed, and intelligence. 

But behind all of this excitement is a real challenge plaguing organisations and startups: AI demos are easy; AI in production is painfully hard.

This is where Lyzr, a fast-growing, Accenture-backed AI startup, enters. Founded and conceptualised in August 2023, Lyzr is not just another shiny AI application but is the missing key that most startups overlook. It is a production-grade operating system for AI agents.

Think of it this way

Lyzr is like the electricity inside your office building. You do not see where it is coming from or where the main board is, but nothing works without it. No lights, no elevators, no computers. 

Lyzr builds AI agents that are the visible appliances. Lyzr is the underlying system that ensures they turn on safely, don’t overload, and keep working even when demand increases.

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The Industry Problem No One Wanted to Talk About

Let us also understand one thing: the global AI ecosystem is very crowded with people experimenting with different tools and ideas. There is no dearth of systems that can build agents a mile a minute. Frameworks exist to connect large language models, and open-source libraries offer endless flexibility. 

But flexibility without reliability breaks at enterprise scale.

And the biggest challenge that almost every organisation cares about has been left untouched and unaddressed. Challenges like: 

• data privacy,

• IP ownership, 

• zero hallucinations, 

• governance, 

• traceability,

• observability

Yet every day, there are new AI startups that look impressive with their pilot figures, but usually tend to collapse when exposed to real workflows, compliance requirements, and mission-critical operations.

This gap laid the fertile ground for Lyzr to emerge. The gap between the AI promise and AI reality. Lyzr has one element sorted: it aims to focus on production and results, and not merely experimentation. 

In one line: Lyzr helps enterprises build, deploy, and scale AI agents. Reliably.

More about Lyzr’s USP 

Lyzr was born not from experimentation or any grand vision of organisational intelligence, but a simple question: Why can’t business teams just talk to their own data?

For decades, workplaces have been collecting data from all sources, but to analyse that flood of numbers still requires human intervention. Therefore, this was a suitable starting point for Lyzr. 

The original idea was to build a conversational interface called “DataGPT.” The aim was to help sales teams talk to their data in Excel, lead pipelines, or operations in real time and ask important questions. 

However, as soon as this idea was in process, the real hurdle was revealed. 

• The problem was not in the interface

• It was in the agent infrastructure underneath

Most existing tools were either fragmented, fragile or not ready for an enterprise operation. 

That realisation transformed what could have been a narrow AI startup into a foundational platform company.

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Three Founders, One Shared Idea

Now the minds behind Lyzr: 

Lyzr was ideated and is now led by co-founders Jithin, Siva and Anirudh. Both of them come with global exposure honed in enterprise environments and first-hand expertise in scaling an idea. 

Jithin George is the Co-founder and VP of Engineering at Lyzr AI. Before Lyzr, he co-founded Voiro, an ad-monetisation platform serving enterprise clients. 

A University of Pennsylvania alumnus, Jithin leads the engineering vision at Lyzr, focusing on building secure, scalable AI systems that help organisations deploy custom AI agents across business workflows. 

“Most companies don’t struggle with AI capability, they struggle with AI reliability,” Jithin tells Startup Pedia. “At Lyzr, we’re not just building intelligent agents, we’re building systems enterprises can actually trust in production.”

Siva brings in his perspective as a seasoned entrepreneur. A Harvard General Management Program alumnus, he previously founded a company that was successfully acquired by LTI. 

He then spent three years inside LTI, observing from within how large enterprises actually operate, where technology decisions are slow, risk-averse, and deeply tied to governance.

“Enterprise AI doesn’t fail because models are weak; it fails because the surrounding systems aren’t designed for reality,” Siva told Startup Pedia. “Lyzr was born from seeing that gap repeatedly.”

On the other hand, Ani had an equally global and unconventional exposure. Armed with an MS in Management Science & Engineering from Columbia University, he grew up around the Indian Air Force ecosystem. He also has interests ranging from competitive sports like basketball and diving 

His career took him across the US, India, and Nigeria, working with companies like Shutterstock, Lean Startup Machine, Rocket Internet, and founding ventures like MasterLife and Growth Spartan.

“Working across geographies taught me one thing,” Ani reflects in an interview with Startup Pedia. “Scale amplifies every flaw. If your system isn’t designed for scale, it will break the moment success arrives.”

Together, they brought a rare combination to their startup: founder hunger with enterprise realism.

What LYZR Actually Does & Why It’s Different

Lyzr has a central core theme: existing as a full-stack agent infrastructure platform. Here’s how the process looks with Lyzr: 

1- Supporting the entire agent development lifecycle.

2- From design and building to deployment, governance, and observability

3- Along with continuous improvement. 

Lyzr is LLM-agnostic, cloud-agnostic, and explicitly designed for enterprises that cannot afford black-box systems.

“Anyone can build an agent,” Siva notes. “But very few can keep it reliable at scale, under compliance pressure, with real users depending on it.”

Lyzr is also different in many ways, but one key factor that separates it from conventional AI ventures is it operates on a platform + people model.

This combines the robust infrastructure with hands-on delivery support. This also ensures enterprises don’t just buy software; they successfully operationalise it.

“Our job doesn’t end at deployment,” Ani explains, Startup Pedia. “It ends when the agent is trusted by humans inside the organization.”

Early challenges & growth 

As with any AI venture with a slightly different undertone, the early days were not easy. Lyzr had to face a market that was ignorant of challenges.

Lyzr, as an AI startup that sold SDKs and infrastructure, was operating in a market that understood use cases but not systems. It was important to educate the market while competing in a noisy AI market.

There was also the issue of focus. 

As a horizontal startup platform, it was important to identify the right wedge to start with. This was achieved in August 2025 when LYZR reached a product-market fit inflection point.

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The Numbers 

A look at Lyzr’s trajectory over the past 18 months: 

The startup has raised a total of $10.5 million, including a Series A round in October 2025 backed by Rocketship, GFT, and Accenture Ventures. 

This capital infusion coincided with a sharp acceleration in business performance, with the company recording nearly 5× revenue growth between August and December 2025. 

Internally, Lyzr scaled at a similar pace, growing its team fivefold year-on-year, from around 30 employees to nearly 150. 

Today, the platform serves large enterprise clients such as: 

• Accenture, 

• Air Asia Move, 

• HFS, 

• Movate, 

• Persistent,

• Firstsource,

Lyzr’s progress has also been recognized by the ecosystem, having won the Accenture Venture Challenge in 2024 and being named a Premier AWS Agentic AI & GenAI Partner, positioning it firmly within the global enterprise AI landscape.

The Goal Ahead

Having had massive success in its initial offerings, Lyzr is aiming to go beyond tools and workflows. The company is working towards the creation of Organisational General Intelligence, which would be a future where AI agents do not merely execute tasks, but collaborate across different functions, contemplate and reason, all while keeping humans in the loop.  

The roadmap is simple and looks like this 

• Single agents

• Multi-agent systems

• AI-powered cross-functional workflows

• Eventually, semi-autonomous enterprises

Upcoming launch 

With the upcoming launch of Architect in February 2026 (a democratized Agentic App Builder), Lyzr aims to make agent development accessible to business users without compromising governance or security.

“The future enterprise won’t just use AI,” Siva highlights in his conversation with Startup Pedia. “It will think with it.”

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