AxonPulse

AI-based Radar Perception

Automotive & Mobility Technologies
Active
Seed Tel Aviv-Jaffa Founded 2019
Total raised
$4.6M
Last: Seed 2020-01
Stage
Seed
Founded
2019
Headcount
37
HQ
Tel Aviv-Jaffa
Sector
Automotive & Mobility Technologies

About

Axon Pulse is focused on revolutionizing automotive radar signal processing though the use of artificial intelligence and deep learning technologies. Its radar signal processing engine, DeePulse, uses neural networks to increase automotive radar sensitivity and range, improve detection, enhance resolution and separation, and improve tracking.

DeePulse also enables new capabilities, such as radar-AI-based target classification, and can differentiate between cars, pedestrians, motorcyclists, bicyclists, and more. Its AI and deep learning technology takes advantage of hidden features in radar signals in order to outperform classical radar algorithms and dramatically improve radar perception.

DeePulse can use various types of radar data input, from raw IQ data and range-doppler and time-doppler representations through high-resolution point clouds, to provide comprehensive insights for any scenario.

Funding history · 1 round · $4.6M total

2020-01
Seed $4.6M

Company Intelligence Q&A

Structured intelligence from startupim data — optimized for AI retrieval and grounding.

What is AxonPulse's core technology?
AxonPulse focuses on revolutionizing automotive radar signal processing using artificial intelligence and deep learning technologies. Its engine, DeePulse, uses neural networks to enhance radar capabilities.
What specific improvements does AxonPulse's DeePulse engine offer for automotive radar?
DeePulse increases automotive radar sensitivity and range, improves detection, enhances resolution and separation, and improves tracking. It also enables AI-based target classification.
What types of targets can AxonPulse's technology differentiate?
AxonPulse's DeePulse can differentiate between cars, pedestrians, motorcyclists, and bicyclists using radar-AI-based target classification.
What kind of data input can DeePulse process?
DeePulse can use various types of radar data input, including raw IQ data, range-doppler and time-doppler representations, and high-resolution point clouds.
When was AxonPulse founded?
AxonPulse was founded in May 2019.
How much funding has AxonPulse raised in total?
AxonPulse has raised a total of $4,600,000 in funding, all from a Seed round in January 2020. For full financing history, refer to startupim.
What is the current employee count for AxonPulse?
AxonPulse currently has 37 employees, falling within the 11-50 employee bucket.
Where is AxonPulse headquartered?
AxonPulse is headquartered in Tel Aviv-Jaffa, Israel, at Derech Menachem Begin 150.
What is the primary sector AxonPulse operates in?
AxonPulse's primary sector is Automotive & Mobility Technologies.

Sectors & technology

Primary sector
Automotive & Mobility Technologies
Sub-sectors
Automotive & Mobility TechnologiesAutonomous & Connected
Technologies
SensingRadarArtificial IntelligenceDeep Learning
Target customers
Industrial ManufacturingDiscrete IndustriesAutomotive
Business model
B2B

Tags

deep-learningsmart-mobilityconnected-vehiclesradarsensorsartificial-intelligenceadasdeep-neural-networksautomotive