ASX:DVLHealth Care Equipment & ServicesHealth Care Equipment

Dorsavi Ltd

dorsaVi Ltd is focused on developing motion analysis device technologies for use in clinical applications, elite sports, and occupational health and safety.

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-54.7%52-week return
Day Range
— – —
52 Week Range
$0.004 – $0.050
Volume
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Avg Volume (10D)
649.94K
Market Cap
—
The company

The business

What Dorsavi Ltd does

dorsaVi Ltd is focused on developing motion analysis device technologies for use in clinical applications, elite sports, and occupational health and safety. Its segments include Clinical and Workplace. The Company's products include Video AI, ViMove+, ViSafe+, and Research+. Video AI products provide rapid movement assessment and instant reporting. ViSafe+ offers a range of solutions designed to enhance workplace safety and reduce injuries through ergonomic risk assessment software. ViMove+ equips clinics and sports professionals with advanced movement analysis technology, using wearable sensors and biomechanical assessment tools for precise, real-time tracking of client and athlete movements. Research+ is a product designed for research professionals who demand precision motion capture and third dimensional (3D) biomechanics analysis in their work. Its wearable sensor technology enables many aspects of detailed human movement and position to be captured, quantified, and assessed.

Incorporated
AUS
Public since
2013-12-11
Employees
34
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Share price & key data

Share price

OHLC · volume · moving averages
$0.005+$0.000 (+0.00%)over 6M
Hi$0.005Lo$0.004
Price-sensitive newsVolumePrev close · 52W range

Market Statistics

Today
Open
—
Prev Close
—
Day High
—
Day Low
—
52wk High
$0.050
52wk Low
$0.004

Valuation

Multiples
Market Cap
—
Shares Out
—
Price/Book
4.52

Trading Activity

Volume & book
Volume
—
Value Traded
—
Avg Vol 10D
649.94K

Performance

Total return
1 Day
+0.00%
5 Day
+0.00%
13 Week
-36.84%
52 Week
-54.72%
YTD
-25.00%
Peers & news

Latest news

From the Small Caps desk
dorsaVi’s RRAM Reflex Platform Achieves Breakthrough in Robotic Speed and Intelligence
Technology

dorsaVi’s RRAM Reflex Platform Achieves Breakthrough in Robotic Speed and Intelligence

dorsaVi (ASX: DVL) has achieved a technical breakthrough in the evaluation of its robotic RRAM reflex platform, demonstrating that memory is no longer the bottleneck in achieving biological-grade reflexes. The platform has shown itself capable of delivering high-level reflexes faster than the human nervous system with minimal energy use. Testing also confirmed that intelligence is no […]

dorsaVi Unveils Artemis Labs Platform for Next-Generation Sensor Technologies
Technology

dorsaVi Unveils Artemis Labs Platform for Next-Generation Sensor Technologies

dorsaVi (ASX: DVL) has launched Artemis Labs, a wholly owned subsidiary focused on advancing robotics, artificial intelligence and sensor technologies. The new division will merge dorsaVi’s FDA-cleared movement analytics with resistive random-access memory (RRAM) technology licensed from Nanyang Technological University in Singapore. The company sees Artemis Labs acting as an innovation hub to extend human […]

dorsaVi Confirms Suitability of RRAM Technology for Wearable AI-Driven Sensors
Technology

dorsaVi Confirms Suitability of RRAM Technology for Wearable AI-Driven Sensors

An internal assessment of dorsaVi’s (ASX: DVL) resistive random access memory (RRAM) technology has confirmed its suitability for high-speed, low-power usage in embedded, wearable and AI-driven devices. Head-to-head comparisons with industry peers at the 40 nanometer (nm) node demonstrated the technology could offer highly-competitive speed, retention and endurance metrics. High-speed performance with up to 200 […]

dorsaVi Initiates Real-World RRAM Sensor Testing in Singapore’s Biomedical Space
Technology

dorsaVi Initiates Real-World RRAM Sensor Testing in Singapore’s Biomedical Space

Motion analysis device developer dorsaVi (ASX: DVL) has delivered its resistive random-access memory (RRAM)-powered sensor systems to Singapore for comprehensive testing in real-world biomedical contexts. Testing will focus on edge-device functionality under realistic conditions in applications where traditional NAND flash memory has struggled to meet the write demands of biosignal applications, creating bottlenecks for wearable […]

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