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K-nest Construction Tech enters the DeepTech space with indigenous automation solutions

Company brings robotics, 3D construction printing, human augmentation, precision sensing and automated high-rise construction systems into its technology portfolio

K-nest Construction Tech has expanded into DeepTech construction technology, strengthening its portfolio with indigenous solutions across construction robotics, 3D printing, human augmentation, precision sensing and automated high-rise construction systems.

The expansion marks K-nest’s evolution from a construction systems manufacturer into a construction technology company focused on automation, mechanisation and human-machine collaboration on the physical job site.

A DeepTech portfolio for the construction site

3D concrete and construction printing systemsSite-scale, digitally controlled additive manufacturing systems that bring automated construction directly into the building process.


Autonomous quality and inspection roboticsAutonomous mobile robots that scan built environments and compare real-time site installations against Building Information Modeling (BIM) design models, automatically identifying execution discrepancies.

Industrial and construction exoskeletonsHuman-augmentation wearables designed to improve worker safety, reduce fatigue and enhance physical capability during construction activities.

Precision digital sensorsSpecialised digital alignment sensors that monitor formwork plumb and alignment in real time, alongside integrated anemometers that monitor wind speeds and support safe operating limits for high-rise screens.
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Self-climbing safety screens and jump form systemsMechanised construction platforms that bring greater automation, intelligence and safety to conventional formwork and high-rise construction operations.

The move comes as India enters a major infrastructure and construction cycle. India’s real GDP grew 7.7% in FY2025-26, while construction accounted for approximately 8% of nominal GVA. The Union Government has budgeted ₹12.22 lakh crore in capital expenditure for FY2026-271.

Knest (1)
“India should not have to import the future of construction. We should be able to engineer it here. India has demonstrated an extraordinary ability to build at scale. Our ambition now is to invest in the engineering depth, R&D, and indigenous intellectual property required to help build the next generation of construction technology here in India, and ultimately take it to the world.” said, Nitin Mittal, founder and CMD, K-nest Construction Tech.

Knest (2)
Ashish Agarwal, Co-Founder & CEO, K-nest Construction Tech, said, “DeepTech is not a label we want to put on conventional equipment. The engineering has to earn it. We are working on complex physical-world problems that demand seamless integration across mechanical engineering, robotics, hydraulics, electronics, software, and field expertise. The goal is technology that is advanced, but equally practical, reliable, and deployable on live construction sites.”
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Prashant(Knest)
On the momentous occasion, Prashant Agarwal, Co-Founder, K-nest Construction Tech and Founder, K-nest 3D Build Tech, who will be spearheading the entire endeavour, made a poignant point that,

“India's industrial automation market is expected to grow from USD 19.7 billion in 2026 to nearly USD 41 billion by 2031. The manufacturing robotics & automation segment alone is projected to grow from USD 18.6 billion to USD 39.2 billion. Indian manufacturing is accelerating towards automation as quality standards tighten and production scales. The PLI scheme is further accelerating this shift, with manufacturers investing in IoT, robotics and sensor-driven production systems to improve quality, reduce process variation and increase throughput. Manufacturing at scale has always been about building better systems. Automation is becoming one of the most important ones.”
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K-nest’s expansion strengthens its focus on developing indigenous construction technologies and positioning India as a developer and global exporter of advanced construction solutions.

Reference/s:
1. Reference1
2. Reference2

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