D
Drishti
A commercial application of action recognition to digitize human activities on the assembly line
About Drishti
Drishti Technologies provides an AI-powered video analytics platform designed to enhance human productivity on manufacturing assembly lines. The company was established in 2017 by Prasad Akella, Krishnendu Chaudhury, and Ashish Gupta, who brought together expertise in robotics, computer vision, and entrepreneurship. Akella, the founding CEO, previously led the team that developed collaborative robots at General Motors in the 1990s and later worked at SAP and Thomson Reuters. His experience revealed a significant lack of data and investment in manual manufacturing processes compared to sales and marketing. Chaudhury, a computer vision specialist from Google, became the CTO, while serial entrepreneur Ashish Gupta provided early backing and guidance.
Read full description
The company's core business revolves around digitizing human actions on the factory floor to create a new dataset for analysis. By installing cameras on assembly lines, Drishti's system captures continuous video footage of manual tasks. This addresses a century-old problem where manufacturers relied on manual time-and-motion studies to gather data, a process that is often limited and subjective. The platform uses deep learning and computer vision to analyze these video streams, converting human movements into quantifiable data. This provides real-time visibility into manual processes, which still account for over 70% of manufacturing tasks. Drishti's primary clients are large global manufacturers in the automotive, electronics, and medical device sectors, including prominent names like DENSO, Flex, Ford, and Nissan.
Drishti's product suite includes two main components: Drishti Trace and Drishti Flow. Drishti Trace is a video capture solution that creates a searchable video database, enabling remote visibility of the entire assembly process and providing material for training. Drishti Flow adds an AI layer to analyze the video data, measuring metrics such as cycle time, identifying bottlenecks, and providing feedback to operators to improve line performance. The system is delivered as a subscription-based service (SaaS) over Google Cloud, typically bundled with the necessary hardware. The technology empowers line associates by providing them with data to become more consistent and efficient, thus augmenting human capabilities rather than replacing them. By making manual work visible and measurable, the platform helps manufacturers improve quality, increase efficiency, and reduce the time it takes for new associates to become proficient. In December 2023, Drishti was acquired by Atlas Copco, a Swedish industrial group, to expand its presence in the AI and computer vision market.
At a glance
- Founded
- 2017
- Headquarters
- Mountain View, United States
- Sector
- AI
- Power Law
- Colt$25–100M revenue
Latest news
Press, funding announcements and product moves mentioning Drishti.
Investors
From Dealroom's funding and investor records, grouped by the round each investor first entered.
Seed2 investors entered at this stage
Andreessen Horowitz
US National Science Foundation
Series A8 investors entered at this stage
Emergence
Benhamou Global Ventures
Sozo VenturesToyota Ventures
HELLA Ventures
Presidio Ventures
Micron Ventures
Alpha Intelligence Capital
Series B and later6 investors entered at this stage
- MVMicron Ventures
- TVToyota Ventures
- ACAlpha Intelligence Capital
- PVPresidio Ventures
- SVSozo Ventures
- HVHELLA Ventures
Source: Dealroom Talent Intelligence.
Global footprint
team presence
across markets
Market sentiment
An AI-synthesised read of the highest-engagement posts about Drishti on X, ranked by likes and reposts, corporate channels excluded.
Reading the room on X — pulling top posts and synthesizing themes…
Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
See Drishti on the full Dealroom platform
Live deal flow, founder pedigree, hiring signals, revenue trajectory, and the full cap table.