Real-time photonic intelligence

AI at the edge.
Computed with light.

AI at the edge.
Computed with light.

Lucore develops light-based AI processors for real-time, energy-constrained systems,

from autonomous platforms to power-grid fault detection.

Lucore develops light-based AI processors for real-time,

energy-constrained systems,

from autonomous platforms to

power-grid fault detection.

Explore the technology

Explore the technology

Explore the technology

Start a converstation

Start a converstation

Why edge AI is hitting a wall

Why edge AI is hitting a wall

Autonomous and infrastructure systems need faster decisions, lower power and local intelligence, but conventional electronic AI hardware was not built for those constraints.

Autonomous and infrastructure systems need faster decisions, lower power and local intelligence, but conventional electronic AI hardware was not built for those constraints.

Limited power

Edge systems must fit strict size, weight, and power limits. More compute often means more heat and shorter battery life.

Critical latency

Fault detection, RF sensing, and autonomous response need decisions close to the signal, without cloud or pipeline delays.

On-device intelligence

Drones, sensors, and power systems need reliable AI locally, even with limited connectivity and tight thermal budgets.

Limited power

Edge systems must fit strict size, weight, and power limits. More compute often means more heat and shorter battery life.

Critical latency

Fault detection, RF sensing, and autonomous response need decisions close to the signal, without cloud or pipeline delays.

On-device intelligence

Drones, sensors, and power systems need reliable AI locally, even with limited connectivity and tight thermal budgets.

The edge does not need bigger AI. It needs faster, lower-power inference where the signal starts.

Lucore computes with light

Lucore computes with light

Lucore moves selected AI inference tasks into optical hardware, where information is encoded across light frequencies and processed with low energy loss and ultra-fast response.

Lucore moves selected AI inference tasks into optical hardware, where information is encoded across light frequencies and processed with low energy loss and ultra-fast response.

Turn signals into light.
Process it on chip.
Act faster.

Lucore performs selected AI inference tasks in photonic hardware, close to where the signal is generated.

  • Encodes inputs across multiple optical frequency channels

  • Performs selected inference operations in photonic hardware

  • Reduces electronic data movement, heat, and latency overhead

Run inference locally.
Repeat it efficiently.
Respond in real time.

Lucore is designed for compact inference tasks that repeat often, require fast response, and run under strict power constraints.

  • Fault detection and infrastructure monitoring

  • RF sensing and autonomous response

  • Edge systems with limited power and connectivity

Where Lucore creates value first

Where Lucore creates value first

Lucore targets compact, repeated inference tasks where power, latency and local decision-making matter.

Lucore targets compact, repeated inference tasks where power, latency and local decision-making matter.

Power-grid fault detection

Fast local classification of abnormal electrical signals, helping detect faults closer to where they occur.

Latency · Reliability · Local response

RF sensing and autonomous detection

Low-latency signal classification for RF monitoring, threat detection, and autonomous response systems.

Signal classification · Fast response

Drones and mobile platforms

Energy-efficient onboard inference for systems that need local AI without relying on constant cloud connectivity.

Low power · Onboard AI

Industrial and infrastructure monitoring

Real-time AI for high-frequency sensor streams in equipment, infrastructure, and remote monitoring environments.

Sensor streams · Edge inference

Proof behind the platform

Proof behind the platform

Lucore builds on peer-reviewed photonic AI research, protected IP, benchmark validation and a growing network of deep-tech collaborators.

Lucore builds on peer-reviewed photonic AI research, protected IP, benchmark validation and a growing network of deep-tech collaborators.

>90%

Classification accuracy on benchmark inference tasks

Prototype validated. Integration underway.

PIC development moves the platform toward compact, scalable deployment.

• Select priority edge AI use cases • Benchmark latency, power, accuracy, and system response • Validate requirements with early design partners
• Select priority edge AI use cases • Benchmark latency, power, accuracy, and system response • Validate requirements with early design partners

Lucore is moving from fiber-based validation toward integrated photonic chips, application benchmarks, and real-world edge AI deployments.

Lucore is moving from fiber-based validation toward integrated photonic chips, application benchmarks, and real-world edge AI deployments.

Lucore is moving from fiber-based validation toward integrated photonic chips, application benchmarks, and real-world edge AI deployments.

From lab validation to edge deployment

From lab validation to edge deployment

From lab validation
to edge deployment

Build the next generation of edge AI hardware with us.

We are looking for application partners, photonics collaborators, infrastructure operators and strategic investors interested in real-time, low-power AI at the edge.

Contact us

Build the next generation of edge AI hardware with us.

We are looking for application partners, photonics collaborators, infrastructure operators and strategic investors interested in real-time, low-power AI at the edge.

Contact us

Build the next generation of edge AI hardware with us.

We are looking for application partners, photonics collaborators, infrastructure operators and strategic investors interested in real-time, low-power AI at the edge.

Contact us