Lumafield provides cost-effective industrial CT scanners.
Industrial CT scanners work by taking several x-rays of an object and assembling them into a single 3D view.
The
startup’s first machine, named Neptune, was designed to diagnose voids, cracks, and inclusions in objects during the product development and design phases.
It’s a fast, non-destructive way to find flaws and potential defects.
Industrial CT scanners typically cost between $300K and $2M, but clients can lease Lumafield’s Neptune for $75K per year.
Last May, the startup launched its second product: Triton.
This CT machine, which clients can lease for $150K per year, is designed to be integrated into
assembly lines where it can detect issues in products before they’re shipped out. Triton can scan products in as little as five seconds.
Just last month, Lumafield released their third CT machine called Saturn. This heavy duty, large format machine is
designed to inspect massive, dense components like EV batteries and automotive castings, with custom lease pricing tailored to a client's specific deployment needs.
Just last year, Lumafield raised $75M in their most recent Series C funding
round.
What's Next
Lumafield is part of the Industry 5.0 meta trend.
Industry 5.0, the next big revolution in manufacturing, is all about
sustainability, human-technology collaboration, and resiliency.
For example, the field of collaborative robotics focuses on how humans and machines can come together to maximize efficiency.
Cobots, as they’re called, can be trained to perform repetitive or dangerous tasks while working safely alongside humans. Their user-friendly design means that non-technical employees can easily manage them.
Another important
component of Industry 5.0 is the integration of data analysis and AI.
Advances in IoT have turned predictive maintenance into a mainstream concept, but AI predictive maintenance is literally forecasting the future.
By utilizing the latest AI/ML technology, companies can detect even the slightest anomalies in a machine’s operation.
Sensors continually monitor things like vibrations, temperature, and fluid levels, and the data runs through an algorithm that can pinpoint problems.
This technology can improve equipment lifespans while also lowering overall maintenance costs.