Morsa Raises $1.5M to Give Factories an AI-Powered Boss

Delhi and San Francisco-based Morsa has raised $1.5 Mn (~₹14 Cr) in a pre-seed round led by Silicon Valley’s Jackson Square Ventures, with participation from the a16z Scout Fund. The startup, operating under parent company Lunar Inc., builds what it calls an “AI COO” software that manages day-to-day factory operations by working inside the tools plants already use.

What makes this round stand out isn’t the cheque size it’s the age of the people who wrote the pitch deck. Founders Satvik Kapoor and Vedant Singh are reportedly 22 and 19, and had the company barely five months old when this round closed.

That’s an unusually fast validation cycle for enterprise software especially in manufacturing, an industry notoriously slow to trust new technology on the shop floor.

The Details

• Round size: $1.5 Mn (~₹14 Cr), pre-seed
• Lead investor: Jackson Square Ventures (JSV)
• Also participating: a16z Scout Fund
• Founded: June 2026, by Satvik Kapoor and Vedant Singh
• Base: Delhi and San Francisco
• Validation process: 200+ field interviews with factory owners and plant managers before building the product

An AI That Lives Inside Your Factory’s WhatsApp

Most manufacturing software asks workers to learn a new dashboard or abandon tools they already use. Morsa does the opposite it plugs directly into a factory’s existing ERP and MES systems, plus everyday communication apps like WhatsApp, Microsoft Teams, and email.

In practice, that means the “AI COO” reads and responds inside the same group chats floor supervisors already use to coordinate work rather than forcing a new system on top of old habits.

That design choice matters more than it sounds. Enterprise software in manufacturing often fails not because the technology is bad, but because adoption on the factory floor collapses when workers are asked to change behavior.

The Pilot Numbers Behind the Pitch

Morsa’s first commercial deployment was at J4S, a 120-employee glass manufacturing facility, where it was integrated alongside the plant’s ERP software and operational WhatsApp groups.

The result reported: on-time task completion jumped from 30% to 75% during early deployment a number that, if it holds at scale, is the kind of operational metric that actually gets factory owners to open their wallets.

Morsa says it’s now active across multiple plants, supporting 212 personnel across 75 operational group chats, including a deployment at a Tier-1 automotive supplier a sector where quality and timing failures are extremely costly, making it a meaningful early customer to land.

What the Numbers Don’t Tell You

A jump from 30% to 75% on-time completion is a striking number, but it comes from a single early deployment not an average across Morsa’s full customer base. Manufacturing AI pitches often lean on one standout pilot result precisely because broader data isn’t flattering yet.

The more interesting signal is the founders’ pre-build discipline: 200+ field interviews before writing a line of product code is unusually rigorous for a five-month-old company, and suggests this isn’t a generic LLM wrapper chasing the “AI agent” trend it’s built around specific, researched shop-floor friction points.

The real test is whether the WhatsApp-native approach survives contact with larger, more bureaucratic manufacturing clients who may resist running critical operations through a consumer messaging app.

The Bottom Line

Morsa’s pitch is simple meet factories where they already work instead of asking them to change. Whether that holds up beyond a 120-employee pilot is the question this funding is meant to help answer.