Augmented Reality and Artificial Intelligence
Virtual Excellence with our AI and AR Solutions
The future is here, and it’s augmented and intelligent. We create bespoke solutions that redefine user engagement and interaction by joining the endless capabilities of Artificial Intelligence and Augmented Reality.
Our expertise
- Custom AR application development: Crafting interactive AR experiences tailored to client needs, ranging from eCommerce tools to interactive marketing campaigns.
- AI integration services: Implementing AI algorithms to streamline business processes, enhance decision-making, and provide predictive analytics.
- AI-powered analytics: Utilising AI to analyse big data, offering deep insights for businesses across various sectors.
What main challenges we can solve
- Integration complexity
- Data privacy and security
- Real-time performance and scalability
- Cost-effective development
- Future-proofing
- Regulatory compliance and ethical considerations
Altamira is trusted by
Who can benefit from AI and AR tech solutions?
AI and augmented reality have versatile applications across various industries, each offering unique solutions to industry-specific challenges.
Retail
Improve shopping experiences with virtual try-ons and AI-powered personalised recommendations.
Healthcare
Get assistance in complex surgeries through AR visualisations or improve clinical routine operations with AI-driven data analysis.
Real Estate
Visualise properties and design changes in real-time, enhancing the decision-making process or use AI to get assistance in market analysis and automation.
Manufacturing
Among the major benefits of Augmented Reality is the ability to assist with assembly, maintenance, and training, providing workers with real-time, hands-free information.
Supply Chain
AI helps to analyse large datasets to predict future trends and outcomes. Thus, this means better forecasting demand, managing inventory levels, and anticipating potential disruptions. AR can be used to visualise complex supply chain networks, providing a more intuitive understanding of how different elements are connected.
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Let’s treat the core problems, not symptoms.
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Discover success stories
Explore our case studies and find out how we have helped some of our clients from around the world.
How do we work
Our approach to developing and implementing AI and AR solutions is methodical and client-centric, involving the following stages.
Consultation and Needs Analysis
Our primary objective is to gain a deep understanding of your business’s specific needs, challenges, and objectives. Then, we propose strategies that align with your business goals and industry standards.
Design
We prioritise user experience in our design process, ensuring that the end product is intuitive and accessible. We create a detailed blueprint, laying out the technical specifications and ensuring feasibility.
Development and Engineering
Our development process is agile and adaptive, allowing for flexibility and continuous improvement. Throughout development, we maintain a strong focus on quality and adherence to best practices.
Testing and Quality Control
We conduct rigorous testing to ensure the solution’s reliability, usability, and performance. We also incorporate feedback from testing phases to refine and optimise the solution.
Deployment and Integration
Our deployment process is designed to integrate the AR IT solution into your existing environment with no disruption. We provide training for your team when needed to ensure smooth adoption and maximised value from the solution. Post-deployment, we focus on optimising the solution for your specific environment.
Support and Continuous Improvement
Our team remains available for ongoing technical support and assistance. We continuously monitor the solution’s performance to ensure it meets your evolving needs. By leveraging new developments in AR and AI, we offer opportunities for iterative improvements to keep the solution up to date.
For startups
AI and AR enable startups to quickly prototype and iterate on product designs, using virtual models to test and refine concepts before committing to physical production.
For small and medium-sized businesses
Optimise your resource allocation, predicting demand to better manage inventory and staffing, reducing waste and overhead costs.
For enterprises
Deploy AI across various departments to automate processes at scale, from HR and customer service to finance, streamlining operations and reducing costs.
Case studies
People also asked
Augmented reality definition relates to a technology that superimposes computer-generated images, sounds, or other data into the real world. This creates a composite view that augments the real world with additional information or visual effects. Unlike Virtual Reality, which replaces the real world with a fully virtual environment, AR enhances the real environment by adding layers of digital information to it. Contact us to learn more about AI and augmented reality solutions we provide.
Combining AI and AR usually involves integrating AI algorithms into AR systems. This can be done by developing applications that use AI to process real-world data and then apply this information to augment virtual elements in the AR environment. AI and augmented reality examples include facial recognition for filters in social media apps or AI-driven interactive learning experiences.
Augmented AI refers to the enhancement of human decision-making through artificial intelligence. It’s about using AI to complement and augment human abilities rather than replace them. This includes systems that assist in complex problem-solving, data analysis, and providing insights based on large datasets. Get in touch to learn more about our AR software solutions.
The three primary types of augmented reality are:
- Marker-based AR which uses a visual marker to trigger the display of virtual information.
- Markerless AR that relies on positional tracking and environmental understanding, without specific markers.
- Projection-based AR that projects synthetic light onto physical surfaces and allows human interaction.
The main difference between augmented vs virtual reality is the user’s environment. AR overlays virtual elements onto the real world, allowing interaction with both. In contrast, VR creates a completely virtual environment, isolating the user from the real world.
Augmented reality itself is not AI, but it often incorporates AI elements. AR is a technology that overlays digital content onto the real world, while AI involves creating systems that can perform tasks that would normally require human intelligence. However, AR becomes more powerful and interactive when integrated with AI technologies.
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Expertise
Artificial Intelligence
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