Efficient Computer
Efficient Computer develops general-purpose data-flow processors and software tools for computing and AI systems.
$100MAdditional funding
ParticipantTV
Toyota Ventures
toyota.ventures ↗Activity from announced rounds
Activity in this selectionAI
Toyota Ventures is Toyota’s early-stage venture capital arm, investing globally in frontier technology and climate solutions, from robotics and computing to energy, materials and carbon management.
Its frontier remit includes AI, aerospace and mobility; climate investing covers renewable energy, hydrogen, carbon capture, batteries and storage. The scope extends well beyond technologies used directly in passenger vehicles.
Portfolio support draws on Toyota’s technical expertise and global resources, alongside work on product, business development, fundraising and executive coaching. The firm seeks both financial returns and strategic value, with a stated principle that financial returns should come first.
Sources
- Rounds participated in
- 6
- Confirmed lead rounds
- 0 4 roles undisclosed
- New companies
- 5 First participation on record · 1 follow-on
- Funding in participating rounds
- $1.2B 6 disclosed · full round size, not this investor’s share
By stage
By primary sector
By country
Rounds
6 in this selectionSlamcore
Provides visual AI software using stereo cameras to track vehicle position and behavior in factories and warehouses
$14MUndisclosed
Role not disclosedAutoscience
Builds AI systems that conduct machine learning research and deploy the results
$14MSeed
Role not disclosedAMI Labs
AMI Labs develops world models that learn representations of sensor data to support prediction, memory and action planning.
$1BSeed
ParticipantEfficient Computer
Efficient Computer develops general-purpose data-flow processors and software tools for computing and AI systems.
$60MSeries A
Role not disclosedAheadComputing
AheadComputing designs and licenses high-performance RISC-V CPU cores for AI, cloud and other demanding computing workloads.
$30MSeed+
Role not disclosed