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Seeing Machines Limited (SEE.L)

LSE - LSE Delayed price. Currency in GBp (0.01 GBP)
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5.90+0.01 (+0.17%)
At close: 04:35PM GMT

Seeing Machines Limited

80 Mildura Street
Fyshwick, ACT 2609
61 2 6103 4700

Full-time employees266

Key executives

NameTitlePayExercisedYear born
Mr. Paul Andrew McGloneCEO & Exec. Director617.22kN/A1965
Mr. Timothy EdwardsCo-Founder & VP of StrategyN/AN/AN/A
Mr. Sebastian RougeauxCo-Founder & Chief Scientific OfficerN/AN/AN/A
Mr. Martin IveChief Financial OfficerN/AN/AN/A
Mr. Anthony BorgoChief Information OfficerN/AN/AN/A
Ms. Susan DallistonGen. Counsel & Company Sec.N/AN/AN/A
Mr. Glen BrennanHead of People & CultureN/AN/AN/A
Dr. Mike Lenne Ph.D.Chief Science & Innovation OfficerN/AN/AN/A
Mr. Nicolas DifioreSr. VP & GM of AutomotiveN/AN/AN/A
Mr. Daniel EdmundsSr. VP of EngineeringN/AN/AN/A
Amounts are as of 31 December 2022, and compensation values are for the last fiscal year ending on that date. Pay includes salary, bonuses, etc. Exercised is the value of options exercised during the fiscal year. Currency in GBp.


Seeing Machines Limited, together with its subsidiaries, provides driver and occupant monitoring system technologies in Australia, North America, the Asia Pacific, Europe, and internationally. It operates through two segments: Original Equipment Manufacturer (OEM) and Aftermarket. The company offers operator monitoring and intervention sensing technologies and services for the automotive, mining, transport, and aviation industries. It develops, sells, and licenses products, services, and technology to detect and manage driver fatigue and distraction, as well as provides software, after-sales monitoring, and consulting services. The company was incorporated in 2000 and is based in Fyshwick, Australia.

Corporate governance

Seeing Machines Limited’s ISS governance QualityScore as of N/A is N/A. The pillar scores are Audit: N/A; Board: N/A; Shareholder rights: N/A; Compensation: N/A.

Corporate governance scores courtesy of Institutional Shareholder Services (ISS). Scores indicate decile rank relative to index or region. A decile score of 1 indicates lower governance risk, while 10 indicates higher governance risk.