Actionable Insights at Scale and at Speed

We combine deep learning with human expertise to process video and imagery. Massively increasing efficiency, reducing costs and improving outcomes.

Machine Vision from Keen AI

At the heart of KEEN AI is our KAI-V AI platform. KAI-V makes it easy to create and deploy deep learning models without data scientists or software engineers. These models can then be used in web apps, embedded devices or mobile apps to transform business processes.

Once deployed, KAI-V is continually learning from actions taken by human experts whilst they are working on a process. KAI-V seeks to augment and where desired, automate processes which rely on images and video such as condition assessment or quality control. As a platform, KAI-V is an end-to-end solution for creating, evaluating and using models within processes in a useful way.

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

Our Services

Condition Assessment

Our deep learning models are able to identify components of interest enabling fast review for condition assessment. The KAI-V platform builds on existing deep learning models to create models specific for your use case. Over time, our models are able to identify defective components by learning from human SMEs.

Learn how this is being used at National Grid

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.

Learn how this is being used at National Grid

Marketing ROI

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

Vegetation Management

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

Learn more about how we're tackling the problem of invasive species

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).

Contact Us for a demo.

We build machine vision, deep learning and artificial intelligence solutions that have real-world applications and benefits in industry. Talk to us about your requirements. We can help.

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