Actionable Insights at Scale and at Speed

We combine deep learning with human expertise to process video and imagery. This increases efficiency, reduces costs and improves outcomes.

Scale Processes, Reduce Costs and Learn More

We process video and images at scale, extracting objects of interest as well as determining their state. This enables customers to reduce costs, massively scale what they do and unearth hidden insights and knowledge.

Our technology is being used for condition assessment of utility assets, for generating ecological surveys of transport corridors and assuring the outcomes of innovative manufacturing processes.

Our unique approach to onboarding clients ensures delivery of business outcomes within 7 weeks.

Our Services

Condition Assessment

Our deep learning models identify components of interest enabling fast review for condition assessment. Over time trained models identify defective components in video and imagery.

Corrosion Detection

Automatically identify corrosion using deep learning and image processing. We apply a combination of techniques to provide accurate results for each unique use case.

Marketing ROI

Measure the value and ROI of your marketing campaigns using machine vision techniques that will accurately quantify your brand exposure.

Ecological Survey

Use AI and machine vision to speed up ecological surveys for vegetation management and identifying invasive species.

Latest News & Updates

Reduce manual assessments and achieve automation with deep learning.

KAI-V sees the world, and learns. Whether your goal is to augment or automate a process, KAI-V makes this easier. By learning from your inputs, KAI-V helps you continually reduce manual effort in identifying objects of interest in images and video, driving massive resource efficiencies for your organisation or business.

Increase process productivity

Support human experts by rapidly identifying objects of interest, increasing process productivity by either telling you where to look, or skipping what you don’t need to look at. Clients are recording a 60% reduction in process completion time.

KAI-V learns from human experts

KAI-V continually learns from assessments made by human experts. Over time, reinforcement learning techniques are used to predict the assessment that a human will make. Once predictions reliably mimic the human expert, the process can be automated.

Easy to deploy deep learning models

A simple interface for creating and deploying deep learning models. Intuitively designed to remove the complexity of machine vision.

Assessment standardisation

Standardise process outcomes and remove inconsistencies by augmenting your process with AI. Data collected by KAI-V can be used to standardise process outcomes and create an ideal human expert for KAI-V to mimic.

Easy to integrate, on the cloud or on premise

KAI-V is easy to integrate with your applications for training and deploying models for new scenarios. KAI-V can be delivered as a cloud based application, delivering complete scalability for high demand, or installed as an instance on your internal networks.

Unlock insights from years of footage

KAI-V can analyse everything helping expedite automation, if that is the goal. Historical footage, live feeds, thousands of hours, unlimited imagery all improve learning and accuracy for your application. Unlock years of footage for asset inventory, and make content searchable.

Successful Applications.

Our Clients and Partners are successfully utilising KAI-V to significantly improve process efficiency.

National Grid - Spacer Detection

National Grid were able to achieve significant time savings by identifying and extracting components of interest for review.

National Grid - Multiple Component Detection

National Grid were able to achieve a 60% reduction in the time taken to review over head line footage for condition assessment, and are now training a machine learning algorithm to automatically identify defects.

National Grid - Detecting Corrosion on OHL Tower Components

National Grid were able to automatically remove 25% of towers from the inspection process by identifying clean towers with no corrosion.

OxyMem - Machine Assisted Quality Control

Oxymem needed a cost-effective solution to standardise a visual QA process, that could be deployed quickly, without the need for expensive equipment, or a tightly controlled environment.

OxyMem - Machine Assisted Quality Control (Stage 2)

KAI-V detecting bubbles from a leak with heat-map overlay showing leak persistence (slow-motion).

We collect and process video and images at scale using AI.

AI combined with process expertise can be immensely powerful. Please contact us if you have a business process which could utilise the automated processing of imagery and data at scale to enhance process expertise.


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