Accelerating AI with Analog Intelligence

By processing raw analog data at the source, Vellex's analog physics-based IP minimizes data conversion, storage, and transmission—powering real-time AI with radical efficiency.

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Key benefits

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Accelerate AI at Source

Bypass digital bottlenecks to process real-world data in real time, giving AI low-latency insights for mission-critical decisions.

Minimizes digital conversion bottlenecks, cutting the cost and energy of analog-to-digital processing.

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Make AI Systems More Efficient

Compute on raw data and send only high-value insights to AI, reducing digital chip load, system cost, size, and complexity.

Minimizes digital data storage by keeping only valuable results from direct analog processing.

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Deploy Powerful AI anywhere

Cut data transmission by cutting the data itself—enabling advanced AI in bandwidth-limited environments from remote sites to wearables.

Reduces data transmission for centralized processing and lowers bandwidth use.

Applications

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Where Intelligence Meets the Real World

  • AI-Powered Digital Twins

    Stream real-time data for predictive maintenance, spotting failures before they occur.

  • Continuous AI Health Monitoring

    Use low-power on-device AI in wearables to detect anomalies and send early alerts.

  • Intelligent Video Analysis at the Edge

    Process video at the source to cut bandwidth for AI in security, retail, and smart cities.

  • Real-Time AI for Fault Detection

    Detect and isolate system faults instantly at the sensor level.

  • AI-Driven Power Grid Optimization

    Optimize grid performance with instant,AI-based harmonic control.

The Problem: The Digital Bottleneck

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Drowning in Data, Starved for Insight

The conventional data pipeline wasn't built for the age of real-time AI.

Every second, billions of sensors capture the state of our physical world from factory floors and power grids to human health. The promise of AI is to turn this torrent of raw analog data into intelligent, instantaneous action. But there's a fundamental flaw in how we try to achieve this.

We're stuck with an outdated approach

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This rigid pipeline, a relic of the centralized computing era, creates a massive digital bottleneck that chokes innovation at three key points

“This entire process is inefficient and unsustainable. It's holding back the true potential of AI at the edge. To endow our world with real-time intelligence, we don't just need faster digital chips—we need a fundamentally smarter approach."

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    Massive Energy Waste at Conversion

    Before analysis, all raw data passes through power-hungry ADCs  a “digitization tax” that makes always-on AI too power-intensive for battery devices.

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    Data Overload in Storage and Networks

    We handle terabytes of redundant data so AI can find only a few useful kilobytes overloading storage, networks, and driving up cost and latency.

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    Delayed Insights from Latency

    By the time data is digitized, transmitted, and analyzed, critical moments often pass, making true real-time control and fault detection impossible.

The Solution: Computing with Physics

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The Natural Path from Signal to Insight

A Physics-Based Approach to Computing

To solve the digital bottleneck, we don't just build a faster digital chip we sidestep the bottleneck entirely. Our solution is grounded in a simple yet powerful idea: instead of forcing the physical world into a digital box, we use a physical system to compute on the world directly.

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Finding the Optimum

Consider a complex optimization task, like finding the ideal tuning parameters for an AI model or identifying the point of critical failure in a stream of sensor data.

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The Conventional Digital Method

The conventional approach discretizes the problem into a grid & iteratively searches checking, calculating, and repeating consuming much energy and time  to find the optimal point.

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The Vellex Analog Method

The conventional approach discretizes the problem into a grid & iteratively searches checking, calculating, and repeating consuming much energy and time  to find the optimal point.

Analogy to Silicon

Our analog IP blocks form a dynamic canvas where sensor data shapes the circuit, and the solution appears as a stable voltage or current.

The Market Opportunity

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Unlocking the AI Edge Market

The promise of real-time AI is driving explosive growth in IoT and autonomous systems, creating a global edge AI hardware market projected to exceed $40 billion by 2030. But this entire opportunity hinges on a single challenge: efficiently extracting insights from the physical world. The conventional digital pipeline—built before the age of AI—imposes a severe tax on power, latency, and cost, fundamentally limiting this market's true potential.

Vellex's physics-based approach directly targets this inefficiency. By enabling computation on raw analog data at the source, we unlock performance and efficiency gains that are critical for the most valuable segments of the AI edge market. Our licensable IP is a foundational enabler for innovation in several key areas:

By endowing sensors with analog intelligence, Vellex is not just participating in these markets; we are creating the foundational hardware layer that makes the promise of ubiquitous, real-time AI a practical reality.

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Our Supporters

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Vellex is supported by industry leaders and organizations committed to advancing the next generation of computing.

Latest in the News

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FAQs

01. What does Vellex offer?

Vellex provides a purpose-built computing platform designed to simulate the real world with unmatched speed and energy efficiency. Our offering is flexible to meet partner needs:

1. Vellex Cloud Platform: A Platform-as-a-Service (PaaS) providing access to our accelerator cards and a full software toolchain.
2. On-Premise Hardware: Direct sales of our custom chips and accelerator cards for organizations with strict privacy and data security requirements.
3. IP Licensing: Licensing of our core analog compute architecture for strategic partners building custom silicon.

02. Who is Vellex's target customer?

Our initial focus is the Power and Energy industry ⚡, a sector facing immense computational challenges. We are actively working with power system engineers, data center architects, and energy market modelers to solve critical problems in grid stability and energy management. This is our beachhead market before expanding into other complex simulation-heavy industries.

03. What is the current status of the Vellex platform?

Vellex is in the advanced prototyping and validation stage. We have functional PCB prototypes and are developing our first benchmarking chip and accelerator card. This effort is backed by significant support from U.S. federal agencies and leading Silicon Valley investors, validating our technology and market opportunity.

04. Does Vellex integrate with existing engineering tools?

Yes, absolutely. Our platform is designed to supercharge existing workflows, not replace them. Vellex seamlessly integrates with industry-standard power system modeling and simulation software, acting as a powerful accelerator that provides results in real-time.

05. What is the core technology that makes Vellex unique?

Vellex has pioneered a hybrid analog-digital computing architecture. We use cutting-edge analog compute to directly model the physics of complex, real-world systems, which is inherently faster and more power-efficient than digital-only methods. This allows us to create digital twins that behave like their real-world counterparts in real-time.

06. What are the key benefits of using the Vellex platform?

The primary benefits are a radical improvement in performance and a drastic reduction in cost and energy consumption. Partners can expect:

1. Real-Time Simulation: Achieve simulation speeds up to 100x faster than traditional computers.
2. Massive Power Savings: Use a fraction of the power, leading to significant operational cost savings.
3. Unlock New Insights: Tackle complex modeling problems that are currently unsolvable, unlocking new opportunities for optimization and innovation.

07. What does an ideal pilot partnership with Vellex look like?

An ideal pilot partner is an industry innovator in the energy sector looking to solve a high-value problem, such as preventing grid outages or optimizing data center energy use. Together, we define a clear scope to demonstrate a powerful, measurable ROI and build a case for wide-scale deployment.

08. Who is on the Vellex founding team?

The Vellex founding team is world-class, combining seasoned industry veterans from the semiconductor and OEM sectors with PhD-level experts in analog design and computational science. We are a team built with decades of direct experience in solving the exact problems we are targeting.

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