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PhysicsX

physicsx.com🇺🇰UKPhysics Simulation / AI Modeling

PhysicsX builds AI physics simulators for aerospace and automotive companies to accelerate design and testing.

Rounds tracked
3

Funding history

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🇺🇰PhysicsXPhysics Simulation / AI ModelingVerified

PhysicsX builds AI physics simulators for aerospace and automotive companies to accelerate design and testing.

$300M
T
Temasek
NVIDIA logoA
A $300M Series B from Temasek + NVIDIA signals that physics simulation is moving from nice-to-have to mission-critical for hardware companies facing design cycle pressure—especially as chip complexity makes traditional testing prohibitively expensive. PhysicsX is likely burning this on compute infrastructure, hiring domain experts, and landing enterprise pilots with tier-1 OEMs. If you're building any vertical-specific CAD, materials science, or robotics tool, watch how they're packaging simulation APIs; that's probably your wedge into enterprise workflows.
PhysicsX logo
🇺🇰PhysicsXPhysics Simulation / AI Modeling

PhysicsX builds AI physics simulators for aerospace and automotive companies to accelerate design and testing.

$300MSeries C
T
Temasek
A $300M Series C for physics simulation signals that enterprise AI is moving past chatbots into domain-specific tools with measurable ROI—aerospace/auto can quantify time and cost saved in design cycles. This round size suggests Temasek sees a path to $2B+ revenue, which means PhysicsX is likely hiring heavily for enterprise sales and building vertical-specific models rather than a generic platform. If you're building AI tools for other capital-intensive industries (biotech, energy, manufacturing), watch how PhysicsX structures its go-to-market—the playbook for selling simulation accuracy to risk-averse engineers is probably more valuable than the tech itself.
PhysicsX logo
🇺🇰PhysicsXPhysics Simulation / AI Modeling

PhysicsX builds AI physics simulators for aerospace and automotive companies to accelerate design and testing.

$300MSeries B
T
Temasek
A $300M Series B for physics simulation signals that enterprise AI is moving past chatbots into domain-specific tools with measurable ROI—aerospace/auto can quantify time and cost saved in design cycles. This round size suggests Temasek sees physics simulation as infrastructure, not a feature, which means the space is consolidating around winners fast. If you're building any vertical AI tool (materials science, chip design, robotics), watch how PhysicsX monetizes—they're likely proving the unit economics that will unlock follow-on funding in adjacent hard-science verticals.

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