Transform your business with generative AI
Learn how generative AI can transform your business processes and unlock new opportunities. Let us show you a rapid-prototype solution to your business challenge. Integrate generative AI into your business processes within weeks.Get a custom AI solution
AI is the future. It is becoming as indispensable as electricity, internet or computers to business. We transform your company to realise the opportunity.
Some of the companies we've worked with
Start with the organisation
To unlock the value of AI for business, you need the marginal gain of AI across the organisation. Ominor helps you to set an AI roadmap and create a competitive advantage through AI.
Business value comes from AI applied to just one business process the the marginal gains of AI in every business process. We help build an AI culture that aligns with the strategic direction of the company.
At Ominor, we empower your execs and workforce to build an AI-powered future through world-class education, and hands-on training. Learn AI concepts; be able to apply AI tools to leadership processes.
The development, application, and capabilities of AI-based systems are evolving rapidly. Ominor provides guidance to build an institutional knowledge base on the ethics and governance of AI and fostering human capacity.
As AI moves from tools to full production in your business, we will partner with you to build your in-house talent. We understand the complexities of building a succesful team and acquiring the best talent.
Data Science experts
Ominor solves complex and non-routine business problems with machine learning. Combining the best data scientist, data engineers, functional experts and problem solvers; Ominor develops custom machine learning solutions.
We draw on decades of consulting experience, data science mastery and functional expertise to solve non-routine problems. We employ a structured approach frame and solve challenging strategic issues.
We develop a deployable machine learning solution in as little as 5 days. Rapid prototyping creates a minimum viable solution in a short time. From there, we iterate and improve. This way you keep improving without losing sight of the market.
Driven by a team of scientists experienced with rigorous academic research in artificial intelligence. Ominor team are experts in various fields of AI including Predictive Analytics, Computer Vision and Natural Language Processing.
We have the know-how, technology, and expertise. Some of our proven functional capabilities include demand forecasting, healthcare adherence, customer segmentation, and churn analysis & forecasting.
We remove the friction in the process between modelling and production deployment. Get consistent, scalable API access for application teams.
Modeling to production deployments, streamlined. Agnostic of platform or language, we deploy models that are up and can scale. Proper deployment gived end users and application teams the consistent API access they need to succeed.
Ominor monitors models for machine learning. We proactively monitor data drift, feature importance, and model accuracy issues. Models inform when predictions are possibly going bad, and when they’re not confident in the quality of their predictions.
Model lifecycle management
Model lifecycle management automates processes, such as champion/challenger gating, troubleshooting and triage, hot-swap model approvals, and offers a secure workflow to ensure the efficient management of your models’ life cycle as you scale.
Production model governance
Ominor delivers enterprise-grade production model governance. This allows companies to minimize corporate and legal risks, maintain a transparent production model pipeline, and minimize model bias.
Get started today
It’s time to see exponential gains. Let us show you a rapid-prototype solution to your business challenge. A real and pressing problem, solved with AI in under 6 weeksGet a custom AI solution
Frequently asked questions
If you can’t find what you’re looking for, email us and someone will get back to you.
What is Artificial Intelligence (AI)?
Artificial intelligence (AI) refers to systems or machines that mimic human intelligence. Including the ability to see, understand and translate spoken and written language, analyse data, make recommendations, and more. They perform these tasks and iteratively improve themselves based on the information they collect.
How do I get started with AI?
Drop us an email or give us a call
What are the applications of AI?
Speech recognition, Image recognition, Predictive modeling, Data analytics, Translation, and so many more. We use image recognition to detect faults on a manufacturing line or speech recognition to enable a toddler to request the latest Paw Patrol video.
What are the types of AI?
Reactive: reacts to stimuli based on preprogrammed rules. Limited memory: uses memory to improve over time. Theory of mind: This is hypothetical and describes machines with decision-making capabilities equal to that of a human. Self aware: also mythical, this is theory of mind + machine that is aware of its own existince
What are training models and training data
A training model is a dataset that is used to train an ML algorithm. It consists of the sample output data and the corresponding sets of input data that have an influence on the output. The training model is used to run the input data through the algorithm to correlate the processed output against the sample output. The result from this correlation is used to modify the model.
What are the benefits of AI?
Automation, reduce human error, eliminate repetitive tasks, fast and accurate processing of data, doesn’t require sleep or holidays, accelerate research breakthroughs with big data capabilities and more.
What is Computer Vision?
Computer vision is a field of AI that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs — and take actions or make recommendations based on that information. If AI enables computers to think, computer vision enables them to see, observe and understand.
What is edge computing?
Edge computing is a distributed computing framework that brings enterprise applications closer to data sources such as IoT devices or local edge servers. This proximity to data at its source can deliver strong business benefits: faster insights, improved response times and better bandwidth availability.
What data does my business need to succed with AI?
Almost any data to start. Spreadsheets, physical documents, images, databases... they’re all data and we can help you reap value from them.