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AI Startup InsureVision Secures $2.7M To Predict Car Crashes Before They Happen

by THEFUTURE.TEAM

March 12, 2025

Imagine a world where your car doesn’t just react to accidents—it predicts them before they unfold. That’s the bold vision behind InsureVision, a London-based AI startup that just closed a $2.7 million seed round to turn predictive crash prevention into reality.

Why This Matters

Backing from State Farm Ventures, Rethink Ventures, and Twin Path Ventures signals serious industry confidence. State Farm, one of the world’s largest insurers, rarely bets on early-stage startups, making its participation a major endorsement of InsureVision’s tech.

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The Tech: AI That “Sees” Like A Human

Founded in 2023, InsureVision has built an AI system designed to process real-time video from standard car cameras—an approach they call “enviromatics.” Unlike conventional GPS-based trackers that assess risk through raw data points like speed and braking, InsureVision’s AI interprets the full driving environment.

Here’s the difference:

Traditional systems might flag sudden braking as reckless.
InsureVision’s AI understands that a pile-up ahead is the real risk and recognises defensive driving rather than penalising it.

Who’s Buying In?

The advanced car safety tech market is projected to grow from $21 billion today to $40 billion by 2030, and InsureVision wants a sizable cut. Its AI could reshape risk assessment for:

Insurance companies offering personalised pricing based on actual driving behaviour.
Fleet operators (think Uber, logistics firms) seeking real-time risk monitoring.
Automakers integrating AI-driven safety features to comply with evolving regulations.

Next Steps

Trials with major U.S. insurers are underway, with Japan next in line for expansion. Results from these pilots are expected by mid-2025.

“We’ve built a vision transformer—an AI that learns from what it sees, not just mechanical data like speed or acceleration,” says CEO Mark Miller. “This brings real-world context into risk assessment, making it a fundamentally more human approach.”

For investors and industry insiders, the bet is clear: If InsureVision delivers, it won’t just improve road safety—it could redefine the economics of auto insurance.

The AI Agent Revolution: Can the Industry Handle the Compute Surge?

by THEFUTURE.TEAM

March 28, 2025

As AI agents evolve from simple chatbots into complex, autonomous assistants, the tech industry faces a new challenge: Is there enough computing power to support them? With AI agents poised to become integral in various industries, computational demands are rising rapidly.

A recent Barclays report forecasts that the AI industry can support between 1.5 billion and 22 billion AI agents, potentially revolutionizing white-collar work. However, the increase in AI’s capabilities comes at a cost. AI agents, unlike chatbots, generate significantly more tokens—up to 25 times more per query—requiring far greater computing power.

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Tokens, the fundamental units of generative AI, represent fragmented parts of language to simplify processing. This increase in token generation is linked to reasoning models, like OpenAI’s o1 and DeepSeek’s R1, which break tasks into smaller, manageable chunks. As AI agents process more complex tasks, the tokens multiply, driving up the demand for AI chips and computational capacity.

Barclays analysts caution that while the current infrastructure can handle a significant volume of agents, the rise of these “super agents” might outpace available resources, requiring additional chips and servers to meet demand. OpenAI’s ChatGPT Pro, for example, generates around 9.4 million tokens annually per subscriber, highlighting just how computationally expensive these reasoning models can be.

In essence, the tech industry is at a critical juncture. While AI agents show immense potential, their expansion could strain the limits of current computing infrastructure. The question is, can the industry keep up with the demand?