Funding · AI & Deep Tech

SwitchOn raises $8M Pre-Series B round

By Startup Enthusiast · 16 July 2026

What they do

SwitchOn builds AI-powered quality inspection systems for manufacturing

It raised $8M (₹78 Cr) Pre-Series B led by IvyCap Ventures, with SIG Tattva and Trifecta Capital

The company has deployed on over 170 production lines across 10+ countries and 4 continents

SwitchOn raised $8M (₹78 Cr) in a Pre-Series B round.
The round was led by IvyCap Ventures.
SIG Tattva and Trifecta Capital also participated.
The funding is a mix of equity and debt, but the split was not disclosed.
SwitchOn will use the funds for international expansion and R&D in next-gen Physical AI.
The company also plans to scale its go-to-market globally.
This brings SwitchOn's total funding to ~$13.3M.

SwitchOn's first production systems were deployed in 2021.
The company aligns with India's Make in India and PLI schemes.
Recent similar deals in the space include Ethereal Machines ($28.5M) and Integra Robotics ($1.12M).

SwitchOn is a Physical AI startup that provides AI-powered quality inspection for manufacturing.
Its product is DeepInspect, an edge-native VisionAI platform for defect detection.
DeepInspect achieves sub-150-micron precision and inspects over 1,200 products per minute.
Its defect detection accuracy is >99% and it reduces quality inspection costs by up to 50%.
SwitchOn has deployed on over 170 production lines across more than 60 manufacturing facilities.
It operates in over 10 countries across 4 continents.
Customers include Unilever, Bosch, Maruti Suzuki, and ALPA.
The company serves industries such as CPG, electronics, automotive, and pharmaceuticals.

IvyCap Ventures (lead) — Venture capital firm; Vikram Gupta is Founder and Managing Partner.
SIG Tattva (participated) — Investment firm; Shashvat Somany is Founder.
Trifecta Capital (participated) — Venture debt firm; Abhijit Joshi is Director – Venture Debt.

Product: DeepInspect platform using edge-based computer vision to detect product defects on factory lines
Customers: Manufacturers in FMCG, electronics, automotive and pharmaceutical sectors
How it makes money: B2B software and hardware solution for automated quality inspection with edge-native processing
What sets it apart: Sub-150 micron precision defect detection at speeds exceeding 1,200 products per minute