Artificial Intelligence Consultancy for Imaging
Zegami’s imaging AI consultancy services enable the healthcare, life sciences and manufacturing industries to deliver imaging based AI solutions faster and more accurately. Our unique tools and machine learning (ML) services become your data science plug-in, enabling easy identification of patterns, outliers and trends in large and complex visual data sets.
Whatever challenges you have in your machine learning workflow, we’ll work with you to create, enhance and validate your ML models. We’ll help you to drive your business or project forward, maximising the value of your image data, saving time and helping to provide a quicker return on investment.
Leading AI consulting to overcome challenges with your imaging AI projects
& train models
- Lack of data science expertise & resource
- Require access to subject matter expertise
- Fast proof of concept requirement
- Managing & displaying large volumes of image data
- Time-consuming AI filtering and tagging processes
- Disparate data silos across organisation
- Designing a machine learning workflow
- Need to assess model explainability
- Achieve CE & FDA accreditation
- Quantify performance
- Lack of internal machine learning capability to deploy
- Need to continuously improve the machine learning model
Enabling cutting-edge vehicle damage detection
Partnership with Ebbon Intelligence to produce a platform that helps to adapt technologies for the fleet, rental, risk, compliance, and other related automotive sectors.
The partnership aims to enable car hire companies to accurately assess the depth and detail of damage to vehicles during rentals, benefiting both customers and rental firms.
Based on the industry standard DAVIS vehicle and driver risk platform, our platform will aid in the identification of changes in the condition of vehicles between hires for rental, movements for leasing and for potential applications to commercial vehicles.
Improving quality control to solve global food shortages
The Australian Plant Phenomics Facility work at such a large scale in the automation of growing and assessing plant varieties and species, that they needed support to manage the volume of image data.
The Zegami Machine Learning Suite delivered the support they needed.
A key component of their daily output is images of each plant from a variety of angles. These images must then be assessed by experts to determine which strains show the most promise. There is considerable scope for things to go wrong and so regular monitoring of the system is therefore essential to keep each experiment on track.
Accelerating treatment for Chronic Fatigue Syndrome
A collaboration with a medical researchers at Oxford University to try and find the cause of Myalgic Encephalomyelitis (ME), otherwise known as Chronic Fatigue Syndrome.
The project uses Peripheral Blood Mononuclear Cell (PBMC) data obtained from the UK ME/CFS biobank, which includes samples of ME/CFS, Multiple Sclerosis and healthy control groups.
A technique called Raman spectroscopy is then used and visualised in Zegami, which is able to clearly differentiate between the three different groups. These results represent an important first step in developing a diagnostic test for the bacteria.
A partnered approach to AI
We have many years of experience of working alongside researchers, data scientists and medical practitioners on a wide range of AI and machine learning (ML) projects that use imaging data. Over the years, we’ve developed a robust framework for collaborative projects, which can be tailored to the requirements of any project or context.
Through our partnership approach, you will be supported through any or all of the following stages of the AI & ML development process:
Define outcomes of value and develop proof of concept to demonstrate efficacy
Functional application proving viability to stakeholders
Develop & deploy
Move from prototype to minimum viable product, deployed in production
Ongoing support, instrumentation and monitoring. Identifying signs of data drift and model retraining
Validation studies and AI explainability support
& train models
Develop & deploy
Zegami named Top AI Services Company 2021 according to Clutch
See what our clients have to say…
Frequently Asked Questions
I’m still not sure this is right for me, is there a way to start small with a proof of concept?
Of course! We prefer to take a partnership approach with any of the projects that we work on. We recommend starting with a feasibility study, followed by a simple prototype to better understand the problem and to demonstrate value as early on as possible without committing too many resources.
Once established, we will then work with you to develop a plan to grow the prototype into a robust, production ready system and outline what’s needed to monitor it and mitigate against issues like data and concept drift.
I have an idea in mind but don’t have an AI team internally to work with, how can you help?
Our partnership approach means that we can quickly augment your team with an experienced data science capability. We provide access to a dedicated expert that will look and feel just like a fully integrated member of your team. This approach not only reduces overall time to value, but also saves recruitment and management overhead costs.
I have a lot of image data, but I’m not sure if it’s enough or the right kind to be used with AI
Not all images are created equal. Sometimes images that have been captured in one environment don’t translate well to the real world. By engaging early on in a feasibility study, we will review your images and data to provide recommendations as to how best to proceed to maximize your return on investment.
How many images/data points do you recommend I need to get started?
This very much depends on the type of images, how diverse and representative of the real world they are, the industry that you are in and acceptable accuracy. We’ve found that somewhere between 1,000 – 10,000 images is a good starting point without committing too much effort. There are several techniques at our disposal that we use to eek as much as we can out of even relatively small image sets and can often get within 60 – 80% of our stated goals. From there we will then put together a specific plan on how to enrich, annotate and augment the data sets to close the gap on the remaining 20%.
My company won’t let us put sensitive data in the cloud, what deployment options are there?
We completely understand that the cloud isn’t always the best option, especially if your data is sensitive or just too big to move! Which is why we have a completely flexible approach and will work with you to support your deployment requirements. Out of the box the Zegami Machine Learning Suite can be deployed either fully on premise or in hybrid configurations.
How do I know my data is secure?
Here at Zegami we take information security very seriously. We are compliant with GDPR as a data processor, have obtained Cyber Essentials Plus, conduct regular penetration testing and are in the process of ISO 27001 certification. We follow OWASP best practices, all data is encrypted both in transport and at rest, and only the minimal number of key staff that need to maintain the platform have access to your data.
What level of support do you provide?
As much or as little as you need. We can augment your team with full time experts as well as 2nd and 3rd level technical support for your production systems.
I already have my own imaging tools, data pipelines and scripts; how well do you integrate with other tools?