LONDON, 14 October 2025 – InsureVision , the London-based company specialising in AI-powered contextual driving risk assessment, today announced results from two years of real-world testing that demonstrate a fundamental breakthrough in video-based risk assessment. The company's AI-powered enviromatics technology (using fully learned E2E transformer models) delivered 3x improvement in risk prediction accuracy compared to traditional telematics inputs (accelerometer and GPS), with independent review by Dr Neale Kinnear, former Head of Behavioural Insights at Aon, and Dr Johnathon Ehsani, Associate Professor at Johns Hopkins University.  The breakthrough addresses a critical industry challenge: nine of the top 10 US commercial auto carriers lost money in 2024, spending $107 on claims and expenses for every $100 collected in premiums. The few carriers achieving profitability have done so through superior risk segmentation capabilities - an advantage now available to the broader market through InsureVision's technology.  "For decades, the insurance industry has been flying blind, measuring speed and braking events without understanding why they happened," said Mark Miller, CEO of InsureVision. "We've solved that fundamental problem by teaching AI to see and understand the complete driving environment. Our technology doesn't just measure what happened, it understands why it happened and what it means for future risk. This builds on existing telematics infrastructure to deliver the fine-grained risk intelligence that enables profitable underwriting whilst protecting against nuclear claims."  The nuclear claims challenge  The commercial auto crisis is driven by "nuclear verdicts" – liability claims exceeding $10 million. In 2024, just 16 nuclear verdicts totalled $1.3bn, an average of $81m per claim. A single catastrophic claim can eliminate years of profitability across an entire book of business.  The fundamental problem is that traditional risk factors focus on who, where, what and when, but understanding nuclear claim risk requires knowing HOW a driver drives. Traditional telematics was meant to solve this but fails because it lacks context.  InsureVision's technology identifies high-risk drivers with unprecedented accuracy, including those who don't respond to traditional fleet coaching programmes. The system tracks the behavioural patterns that precede catastrophic claims, enabling carriers to intervene proactively and demonstrate reasonable duty of care – essential in an environment where single verdicts can reach nine-figure sums.  Key results from the trial include:  3x improvement in identifying high-risk drivers versus traditional telematics inputs (accelerometer and GPS)  Builds on existing telematics – enhances rather than replaces current infrastructure  Five-hour assessment period versus months required by traditional systems  Identifies non-responsive drivers who don't improve with coaching and represent nuclear claim risk  The London trial, reviewed by Dr Neale Kinnear and Dr Johnathon Ehsani, studied 2,850 professional drivers over three months. The study compared InsureVision's approach against market-leading telematics systems, finding traditional harsh braking provided 8.3% predictive uplift for at-fault claims whilst InsureVision's combined approach delivered 22.5% – a 3x improvement.  "Traditional telematics suffers from a critical limitation: lack of context," said Dr Johnathon Ehsani of Johns Hopkins University. "A harsh braking event could indicate poor driving or skilled hazard avoidance – conventional systems cannot distinguish between them. This technology understands the complete driving environment."  Transforming commercial auto economics  The breakthrough comes as InsureVision, backed by £2.7m seed funding from Rethink Ventures and State Farm Ventures, addresses a market predicted to grow to over $40bn by 2030. While 83% of US commercial fleets use telematics, the data is rarely utilised by insurers due to reliability concerns.  InsureVision's technology works with existing telematics infrastructure, adding contextual video analysis that identifies which drivers pose the highest claim risk. Analysis of 635+ driver years and 86 fault claims across both studies demonstrates the technology can better predict which drivers will make claims in the following month, enabling preventative intervention rather than reactive coverage after losses occur.  The results position commercial auto carriers to finally achieve the profitable underwriting that has eluded the industry for over a decade, whilst simultaneously reducing the nuclear claim exposure that threatens carrier solvency.  About InsureVision  InsureVision unlocks the power of video to enable fine-grained understanding of driver risk. Radically more powerful than existing telematics solutions, the company's enviromatics technology allows commercial auto carriers to underwrite usage-based insurance policies more accurately and profitably whilst building on their existing telematics base. We drive with our eyes. InsureVision lets insurers price risk with them.  Founded in 2022 by a team of data scientists and industry experts, InsureVision is on a mission to stop catastrophic claims, save lives, and make insurance premiums fair by reinventing risk assessment using end-to-end transformer AI. The company has strategic partnerships with major insurers including Mitsui Sumitomo Insurance Co., Ltd., one of Japan's largest insurance companies, and is backed by leading investors including State Farm Ventures, Rethink Ventures, and Twin Path Ventures.  For more information, visit https://insurevision.ai/

InsureVision achieves 3x improvement over traditional telematics in commercial auto risk prediction

InsureVision Using AI Data to Improve Driver Risk Assessment
The latest research and development news from InsureVision;
 InsureVision, the London-based company specialising in AI-powered contextual driving risk assessment, today announced results from two years of real-world testing that demonstrate a fundamental breakthrough in video-based risk assessment. The company’s AI-powered enviromatics technology (using fully learned E2E transformer models) delivered 3x improvement in risk prediction accuracy compared to traditional telematics inputs (accelerometer and GPS), with independent review by Dr Neale Kinnear, former Head of Behavioural Insights at Aon, and Dr Johnathon Ehsani, Associate Professor at Johns Hopkins University. The breakthrough addresses a critical industry challenge: nine of the top 10 US commercial auto carriers lost money in 2024, spending $107 on claims and expenses for every $100 collected in premiums. The few carriers achieving profitability have done so through superior risk segmentation capabilities – an advantage now available to the broader market through InsureVision’s technology. “For decades, the insurance industry has been flying blind, measuring speed and braking events without understanding why they happened,” said Mark Miller, CEO of InsureVision. “We’ve solved that fundamental problem by teaching AI to see and understand the complete driving environment. Our technology doesn’t just measure what happened, it understands why it happened and what it means for future risk. This builds on existing telematics infrastructure to deliver the fine-grained risk intelligence that enables profitable underwriting whilst protecting against nuclear claims.”
The nuclear claims challenge
The commercial auto crisis is driven by “nuclear verdicts” – liability claims exceeding $10 million. In 2024, just 16 nuclear verdicts totalled $1.3bn, an average of $81m per claim. A single catastrophic claim can eliminate years of profitability across an entire book of business. The fundamental problem is that traditional risk factors focus on who, where, what and when, but understanding nuclear claim risk requires knowing HOW a driver drives. Traditional telematics was meant to solve this but fails because it lacks context. InsureVision’s technology identifies high-risk drivers with unprecedented accuracy, including those who don’t respond to traditional fleet coaching programmes. The system tracks the behavioural patterns that precede catastrophic claims, enabling carriers to intervene proactively and demonstrate reasonable duty of care – essential in an environment where single verdicts can reach nine-figure sums. Key results from the trial include:
3x improvement in identifying high-risk drivers versus traditional telematics inputs (accelerometer and GPS)
Builds on existing telematics – enhances rather than replaces current infrastructure
Five-hour assessment period versus months required by traditional systems
Identifies non-responsive drivers who don’t improve with coaching and represent nuclear claim risk
The London trial, reviewed by Dr Neale Kinnear and Dr Johnathon Ehsani, studied 2,850 professional drivers over three months. The study compared InsureVision’s approach against market-leading telematics systems, finding traditional harsh braking provided 8.3% predictive uplift for at-fault claims whilst InsureVision’s combined approach delivered 22.5% – a 3x improvement. “Traditional telematics suffers from a critical limitation: lack of context,” said Dr Johnathon Ehsani of Johns Hopkins University. “A harsh braking event could indicate poor driving or skilled hazard avoidance – conventional systems cannot distinguish between them. This technology understands the complete driving environment.”
Transforming commercial auto economics
The breakthrough comes as InsureVision, backed by £2.7m seed funding from Rethink Ventures and State Farm Ventures, addresses a market predicted to grow to over $40bn by 2030. While 83% of US commercial fleets use telematics, the data is rarely utilised by insurers due to reliability concerns. InsureVision’s technology works with existing telematics infrastructure, adding contextual video analysis that identifies which drivers pose the highest claim risk. Analysis of 635+ driver years and 86 fault claims across both studies demonstrates the technology can better predict which drivers will make claims in the following month, enabling preventative intervention rather than reactive coverage after losses occur. The results position commercial auto carriers to finally achieve the profitable underwriting that has eluded the industry for over a decade, whilst simultaneously reducing the nuclear claim exposure that threatens carrier solvency. Share this:

InsureVision Using AI Data to Improve Driver Risk Assessment

InsureVision Teams Up With MSI on AI Dashcam Risk Assessment
Maybe if dashcam AI analysed driving styles, traffic volume, road conditions, speed etc that would go some way to setting real time PAYG car insurance pricing? Hey, it’s one future scenario. Here’s the word on a new partnership;
 InsureVision, the London-based company specialising in AI-powered contextual driving risk assessment, has announced a strategic partnership with Mitsui Sumitomo Insurance Co., Ltd. (MSI), one of Japan’s largest insurance companies with operations in 41 countries and regions worldwide, and part of the MS&AD Insurance Group. The collaboration will focus on developing a Japan-specific AI model for analysing dashcam footage to enhance risk assessment and promote safer driving behaviours across the Japanese market. Japanese insurers are looking to enhance their driving risk assessment capabilities beyond what traditional telematics and basic dashcam solutions currently offer. With over 560,000 telematics-based auto insurance policies already sold, MSI has demonstrated its commitment to connected mobility and data-driven innovation. By incorporating contextual analysis of driving situations, MSI can further refine risk assessments, strengthen driver training programmes, and promote safer driving. This advancement is particularly valuable in Japan’s complex and densely populated traffic environment, where understanding driver intentions and contextual risk provides significant advantages. “MSI is promoting digital transformation to enhance our risk assessment capabilities and deliver higher value to our customers,” said a representative from MSI. “This proof-of-concept with InsureVision.ai will allow us to develop advanced AI-driven analysis of driving behaviours through dashcam footage, providing more accurate risk assessments for commercial fleet operators in Japan. By leveraging InsureVision’s specialised AI technology, MSI aims to create innovative insurance solutions that not only respond to accidents but help prevent them. This collaboration aligns with our strategy to utilise advanced digital technologies that improve customer experience while supporting Japan’s autonomous driving initiatives.”
The partnership will eventually enable MSI customers to efficiently identify and classify dangerous driving events from large volumes of dashcam footage, implement targeted driver training programmes, and support the development of autonomous driving software through better understanding of risk scenarios. “We’re thrilled to partner with MSI to bring our enviromatics technology to the Japanese market,” said Mark Miller, Founder and CEO of InsureVision. “Our AI doesn’t just see what’s happening on the road – it understands the context and intentions behind driver behaviours. This capability represents a fundamental shift from reactive to proactive risk management, helping insurers like MSI not only assess accidents after they happen, but potentially prevent them altogether.”
Share this:

InsureVision Teams Up With MSI on AI Dashcam Risk Assessment

InsureVision raises $2.7 million
InsureVision has raised $2.7 million in a seed funding round led by Rethink Ventures, Twin Path Ventures, and State Farm Ventures . The company is developing AI-powered contextual driving risk assessment through its proprietary “enviromatics” technology, which analyzes video footage to provide a more accurate understanding of driving environments. Unlike traditional telematics or first-generation AI dashcams, InsureVision’s platform recognizes not just objects but also the intentions of other road users, enabling more precise risk evaluation. InsureVision says trials are already underway in the US and Japan, with results expected later this year. Share this
A really good email covering top news. Leave this field empty if you're human:
Related Posts

InsureVision raises $2.7 million

InsureVision Raises $2.7m in Seed Funding Round
The latest insurtech funding news for you;
  InsureVision , a pioneer in AI-powered contextual driving risk assessment, has announced it has raised $2.7M in a seed funding round led by Rethink Ventures ,  Twin Path Ventures  and  State Farm Ventures , the tech investment arm of the world’s largest vehicle insurer. The investment will accelerate the company’s mission to transform road safety and insurance risk assessment through its proprietary “enviromatics” technology. With automotive manufacturers and insurers looking to more sophisticated solutions for driver safety and risk pricing, Automotive Risk Understanding and ADAS software markets, together valued at $21bn, are due to grow to over $40bn by 2030. Currently, traditional telematics and first-generation AI dashcams fail to capture the full context of driving situations, leading to inaccurate risk assessments and suboptimal insurance pricing. InsureVision’s breakthrough vision transformer technology analyzes footage from standard forward-facing cameras to deliver comprehensive contextual risk assessment. Unlike conventional solutions that rely solely on mechanical data or basic object recognition, InsureVision’s platform understands the complete driving environment and intention of other road users – a capability the company terms “enviromatics.”
“We’ve created a unique vision transformer” explains InsureVision’s CEO, Mark Miller. “A generative AI technology that, quite literally, learns from what it sees in front of it. This is a more human approach to risk-assessment, it brings the context of the driving situation into the equation, not just the mechanical data on things like speed, braking and acceleration. Why is this important? Imagine a pile up on a highway and a driver hitting the brakes to avoid it. Existing technologies such as telematics would not recognise the risk and possibly even deem your actions bad driving. While first generation AI Dashcams may classify the objects but not understand their intention. Our solution sees and understands the whole environment. We call this contextual understanding “enviromatics”. InsureVision is serial entrepreneur Mark Miller’s second venture, having previously sold his first company, Dictate IT – the largest provider of medical speech recognition solutions to the NHS – to Clanwilliam Group in an  undisclosed multi-million pound deal in 2018 . Focused now on contextual driving risk assessment, InsureVision’s  platform applications span multiple industries:
Insurance: Enables more accurate underwriting, reduced claims, and competitive customer pricing through comprehensive risk assessment
Fleet Operators: Provides real-time risk monitoring and driver safety insights for vehicle leasing companies
Automotive: Offers a software-based solution for upcoming Automatic Emergency Braking legislation, particularly relevant for software-defined vehicles (SDVs)
“InsureVision’s solution is a no-brainer. By leveraging our existing camera infrastructure with their software layer, we can significantly reduce insurance costs while promoting safer driving behaviors,” said Gurinder Dhillon, CEO of Otto Cars, Europe’s largest leased EV fleet operator and an early enterprise adopter. “This technology directly supports our mission of bringing loved ones home safely while making vehicle leasing more affordable for gig economy drivers.”
The investment will accelerate InsureVision’s technology development and market expansion, with trials currently underway with major insurance companies across the US and scheduled for Japan. Results demonstrating proof of value are expected mid-2025. “We have followed Mark and his team for some time, and they have continuously shown exceptional entrepreneurial vigour and deep tech expertise paired with an unconventional approach,” added Matthias Schanze, General Partner at Rethink Ventures. “Their vision for transforming road safety through AI-powered contextual understanding sets a new standard for the industry.”
“Insuretech is an exciting space because the numbers are huge and even a micro improvement can make a macro impact”, adds Nick Slater from Twin Path Ventures. “InsureVision has one of the most unconventional but potentially groundbreaking ways of disrupting the sector for the better of insurance companies, fleet operators and drivers alike”. Share this:

InsureVision Raises $2.7m in Seed Funding Round

Insurtech 50: The most promising insurtech startups of 2025

Created 9/9/24. Updated 10.22.24. Company list source: ITC Vegas. Check ITC Vegas' website for final list: https://events.clarionevents.com/InsureTech2024/Public/EventMap.aspx?shMode=E&ID=84001

ITC Vegas 2024 - Exhibitors and Sponsors

Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.

Artificial Intelligence (AI)

Fintech

Companies and startups that use technology to improve core and ancillary insurance operations. Companies in this collection are creating new product architectures, improving underwriting models, accelerating claims and creating a better customer experience

Insurtech

Companies working on generative AI applications and infrastructure. 

Generative AI

Insurtech 50 2025

Seed VC - II

InsureVision applies artificial intelligence within the automotive and insurance sectors. The company offers a solution that combines video from a vehicle's forward-facing camera with a transformer AI model to assess driving risks, report incidents, and enable automatic emergency braking. The technology provides a measure of risk and an understanding of driving incidents. It was founded in 2022 and is based in Cheshire, United Kingdom.

Name	Mark Miller
Work History
Title	Founder
Status	Current

How VCs Use CB Insights

Professional Services

Platform Overview

InsureVision

Executives

InsureVision Management Team

1 Team Member