Kinesense
Kinesense, founded in 2007 by Sarah Doyle and a co-founder, emerged as a SaaS-based video analytics provider specializing in law enforcement applications.
Profile
AI software that helps investigators quickly find important moments in surveillance footage.
Kinesense, founded in 2007 by Sarah Doyle and a co-founder, emerged as a SaaS-based video analytics provider specializing in law enforcement applications. The company developed AI-driven tools for post-event video investigation, focusing on automating CCTV analysis to reduce manual review time. Its platform gained traction among UK police forces, with over 25 adopting the technology by 2023.
Kinesense was acquired in 2023, though the buyer and terms remain undisclosed. The company's core value proposition lies in reducing video review time by up to 95% for surveillance cases and 60% for major investigations, as demonstrated in a case where 170 hours of footage from 15 locations was processed in under 5 hours. Its customer base expanded beyond policing to include transport infrastructure, with Transport Infrastructure Ireland (TII) using its systems for risk analysis on light rail networks.
While revenue figures are not public, the company operated in a growing AI video analytics market projected to reach $27.64 billion by 2026. Post-acquisition, its current product roadmap and leadership structure under new ownership remain unclear.
Who buys this
- Law enforcement agencies
- Transport infrastructure operators
- Government security units
- Retail loss prevention teams
- Corporate security departments
Publicly disclosed clients
- West Yorkshire Police
- Transport Infrastructure Ireland
- Devon and Cornwall Police
Strengths and what to watch
Strengths
- Proven time savings in video review, with 95% efficiency gains in surveillance cases
- Established adoption by over 25 UK police forces as of 2023
- Specialized algorithms for tracking suspect movements across multiple camera feeds
Watch for
- Acquisition in 2023 may have disrupted product roadmap or leadership
- Heavy reliance on UK public sector contracts creates revenue concentration risk
- Increasing competition in AI video analytics from larger tech players
Key Information
- Founded
- 2007
Frequently Asked Questions
What is Kinesense and what does it do?
Kinesense provides AI-powered video analytics software that helps investigators quickly analyze surveillance footage. Founded in 2007, it specializes in reducing manual review time for law enforcement, processing 170 hours of footage from 15 locations in under 5 hours with 95% efficiency gains in surveillance cases.
How does Kinesense save time in video investigations?
Kinesense's AI automates CCTV analysis, cutting review time by up to 95% for surveillance cases and 60% for major investigations. Its algorithms track suspect movements across multiple camera feeds, demonstrated when processing 170 hours from 15 locations in under 5 hours for UK police forces.
Which police forces use Kinesense technology?
Over 25 UK police forces adopted Kinesense by 2023, including West Yorkshire Police and Devon and Cornwall Police. The software is also used by Transport Infrastructure Ireland for risk analysis on light rail networks, expanding beyond law enforcement applications.
What happened to Kinesense after its 2023 acquisition?
Kinesense was acquired in 2023 by an undisclosed buyer. The acquisition's impact remains unclear regarding product roadmap or leadership changes. Prior to this, the company had established traction with UK law enforcement and transport sectors through its AI video analytics platform.
How does Kinesense compare to other AI video analytics tools?
Kinesense specializes in law enforcement applications with proven 95% efficiency gains, adopted by 25+ UK police forces. However, the growing $27.64 billion AI video analytics market sees increasing competition from larger tech players, while Kinesense's post-acquisition direction remains uncertain.
Can Kinesense track suspects across multiple CCTV cameras?
Yes, Kinesense's core strength includes specialized algorithms for tracking suspect movements across multiple camera feeds. This capability helps investigators reconstruct timelines efficiently, contributing to its adoption by UK police forces and transport operators like Transport Infrastructure Ireland.
Sources
- ie.linkedin.com — Founding year and acquisition timeline
- www.kinesense-vca.com — Customer case studies and efficiency claims
- www.independent.ie — Founder background and industry recognition
- www.researchandmarkets.com — Market size projections