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Biometric, clinical, security and operational intelligence

The HumanMotionExperts

One technology, boundless applications

We transform human movement into biometric, clinical, security and operational intelligence

Security & Identity

Health & Movement

AI Engineering

Aerial & Defense

Where We Create Impact

Law Enforcement & Public Safety
Banking & Financial Services
Cybersecurity
Healthcare & Clinical Research
Defense & Critical Infrastructure
Advanced AI & Research
Law Enforcement & Public Safety
Banking & Financial Services
Cybersecurity
Healthcare & Clinical Research
Defense & Critical Infrastructure
Advanced AI & Research

Proven by Science. Trusted in the Real World.

What Makes Our Motion AI Different

Methodology

Our Approach to Movement Analysis

Typical Approach of Others

Device-specific sensor data preprocessing to reconstruct original movement

Sensor Data PreProcessing

Sensor Data PreProcessing

Standard, general purpose data smoothing methods

Delicate balance of bespoke features artfully emulating key elements of human motor programs

Feature Space

Feature Space

Standard physical features, or observable, domain-specific features

Proprietary AI toolchain designed for motion analysis

Machine Learning

Machine Learning

Popular, general purpose Python AI libraries or statistics modules

Data Scientist-led Projects

Our Approach to Movement Analysis

Typical Approach of Others

Possibility to handpick features when only limited amount of data is available

Data Size

Data Size

Deep Learning on large amount of data only

Explainable models built on meaningful features

Prediction Models

Prediction Models

Unexplainable “Black Box” models

Further Advantanges

Cross-domain knowledge</strong> from having analyzed:

  • handwriting
  • cursor movement
  • video-based fine and gross motor movements
  • other time-series data

Millions of users served by our solutions across:

  • user identification
  • signature verification
  • personality profiling
  • assessing neurological conditions
Methodology

Sensor Data PreProcessing

Our Approach to Movement Analysis

Device-specific sensor data preprocessing to reconstruct original movement

Typical Approach of Others

Standard, general purpose data smoothing methods

Feature Space

Our Approach to Movement Analysis

Delicate balance of bespoke features artfully emulating key elements of human motor programs

Typical Approach of Others

Standard physical features, or observable, domain-specific features

Machine Learning

Our Approach to Movement Analysis

Proprietary AI toolchain designed for motion analysis

Typical Approach of Others

Popular, general purpose Python AI libraries or statistics modules

Data Scientist-led Projects
Further Advantanges

Custom-built AI solutions

From sensor data to production-ready AI systems, we help organizations extract meaningful signal from complex human movement.

Book a meeting and discuss your project.

Motion Sensors

Mouse

Computer mouse icon

Touchscreen

Touchscreen icon

Keyboard

Keyboard icon

Camera

Camera icon

Phone

Phone icon

Wearable

Wearable icon

Motion Data

Gestures

Gestures icon

Fine motor

Fine motor icon

Handwriting

Handwriting icon

Eye Movement

Eye movement icon

Gait

Walking balance icon

Biosignals

Heart rate icon

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Tap into our world-leading expertise

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Recent blog posts

Learn more about our technology. Join the discussion.

Featured

Appearance Search vs Biometric Identification: What Is the Difference?

Learn how appearance-based video search differs from biometric identification and how Kinerva combines Appearance Search with gait and body analysis.

Akos Molnar27/07/2026
Read more
Featured

How Accurate Is Gait Recognition?

Explore what gait recognition research suggests about movement-based identification, and why those findings matter for biometric video intelligence.

Akos Molnar16/07/2026
Read more
Featured

How Behavioral Biometrics Protects High-Security Critical Infrastructure

Kinerva helps protect critical infrastructure by verifying identity through behavioral biometrics, even when faces are hidden or credentials are misused. By analyzing gait, posture, body structure, and movement dynamics from existing security cameras, the platform can identify individuals from angles where facial recognition may fail. This enables continuous monitoring of high-security zones, helping security teams detect credential misuse, insider threats, loitering, and suspicious movement near sensitive assets before incidents escalate.

Akos Molnar18/03/2026
Read more

Awards

The National Cyber Awards UK 2023 - Innovation of the Year

The National Cyber Awards UK 2023 - Innovation of the Year

Our partners

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