Transform Your Brave Ideas into Reality
AI/ML Proof of Concept Development
Innovation starts with an idea. At Altamira, we specialise in turning your AI concepts into concrete realities through our Artificial Intelligence and Machine Learning Proof of Concept development services. Whether you have a visionary AI/ML concept in mind or need to validate the feasibility of a new AI/ML project, we have the expertise and resources to bring your ideas to life.
AI/ML PoC to quickly validate ideas and decrease expense
Minimising the risk of investment for AI/ML-powered projects is crucial, as sometimes the success of the outcome might be unpredictable. Proof of Concepts is a simple way to test out your ideas’ viability without significantly disturbing your budget.
We start our journey by translating your ideas into technical solutions and a viable prototype to assess the potential and feasibility of the initial stages of the development process.
Proof of Concept development services
- AI/ML Project Feasibility Study and Concept Validation
- Rapid Solution Prototyping
- Proof of Concept (PoC) Development
- PoC Result Outcomes Analysis
- Minimum Viable Product Development Roadmap Discovery
Altamira is trusted by
AI/ML Proof of Concept development stages
Business goals definition
Once we have a thorough understanding of the business goals we aim to achieve and the challenges we may encounter along the way, we can effectively translate these ideas into a technically viable solution.
PoC goals and targets
A Proof of Concept (PoC) should have a precisely defined scope, clear targets, and well-defined goals. Setting realistic expectations is crucial, as it plays a pivotal role in achieving the pre-defined objectives.
Solution architecture
Our approach to solution architecture is oriented towards scalability and extensibility, given the strong possibility that the Proof of Concept (PoC) may seamlessly transition into MVP development.
Development and deployment
Throughout the development stage, we adhere to the well-established Scrum methodology. This approach enables us to deliver tangible results quickly while maintaining transparency and adaptability.
What are the next steps once AI/ML Proof of Concept is accomplished?
01 Results evaluation
02 Business case validation
03 MVP development
04 Continuous development roadmap
Carefully assess the results and findings of the PoC to determine whether it meets the intended objectives and provides the expected value.
Build a robust business case that justifies further investment in AI/ML. This includes outlining the potential benefits, ROI, and a clear understanding of how AI/ML can address specific business challenges.
If the PoC is promising, we proceed to develop a Minimum Viable Product (MVP). The MVP is a more comprehensive version of the AI solution that can be tested with a larger audience.
Product/project development roadmap takes into account various aspects of your business nuances and the project goals. We always think about:
- Scalability
- Data management
- Regulatory compliance
- User insights
What challenges do we solve?
Feasibility testing
Before committing substantial resources, an AI/ML PoC help determine whether a proposed solution is technically and practically feasible within the existing IT infrastructure and business model.
Value demonstration
A PoC allows you to learn the potential value and return on investment of AI/ML projects to stakeholders and decision-makers.
Technology assessment
We help you evaluate different AI/ML technologies, tools, and platforms to determine which best meets your needs.
Skills evaluation
Assess the readiness of your current team to handle AI/ML projects, identifying gaps in skills and knowledge that need to be filled either through hiring or training.
Market response testing
Test how the market responds to the new technology, providing insights into user engagement and acceptance.
Integration challenges
Understand the integration process of AI/ML technologies with your existing systems and workflows and plan the integration strategies in a controlled manner.
Scalability testing
Reveal scalability issues and performance bottlenecks that may not be apparent during the conceptual phase but are necessary for the success of full-scale implementations.
Take the next step
Let’s treat the core problems, not symptoms.
Estimate my project
Receive a personalised project estimate and take the first step towards bringing your idea to life.
Discover success stories
Explore our case studies and find out how we have helped some of our clients from around the world.
Our solutions fit every need
For startups
AI/ML PoCs allow startups to experiment with emerging technologies without substantial investment, providing a competitive edge in their respective markets.
For small and medium-sized businesses
Explore AI/ML opportunities in a manageable and cost-effective way, ensuring that the technology aligns with your business objectives without disrupting operations.
For enterprises
Make informed decisions about integrating AI/ML solutions across various departments and global markets.
Discover why customers choose Altamira
CTO, SOLJETS
Ryan Crawford
Custom-made ERP solution that provides jet brokerage services to boost jet sales and service quality.
Services we provided
- Web Application
- UI/UX Design
CEO & Co-founder, Aquiline Drones
Barry Alexander
Android and iOS native applications that provide on-demand drone services, where users can connect with couriers and track the status of their drone order delivery.
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- Mobile Application Development
- UX/UI Design
CTO, Ticker Tocker
Jonathan Kopnic
Web, iOS, and Android trading platform that offers advanced capabilities in earning by trading, selling products via the integrated marketplace, and conducting trading live-streaming.
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- Discovery
- Tech Vendor Audit
- Web and Mobile Application Development
IT Solution Team Leader
Dusan Barus
Unique mobile solution that automates the process of uploading, transferring, documenting, numbering, and downloading pictures.
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- Web Application Development
- UX/UI Design
CEO, CTRL Golf
Ian Cash
Unique mobile application that aims to teach users to play golf according to individual playing styles and recommendations provided by specifically developed algorithms.
Services we provided
- Discovery
- Mobile Application Development
- UX/UI Design
Head of Services, Universal Edition
Electronic document delivery ecosystem development for music publishing.
Services we provided
- Web application development
- Software Development
People also asked
A Proof of Concept or PoC in an AI project refers to testing the feasibility of an Artificial Intelligence idea or concept. The goal is to prove the performance of the concept in a real-world scenario before committing to a full-scale project development. Contact us to learn more about the AI proof of concept development for your business.
In the context of generative AI, a PoC is an experimental setup where a generative model is developed to test its capabilities in creating new content or data. This pilot project can include tasks like generating realistic images, texts, or sounds. The PoC in generative AI is a key to understanding the creative limits and practical applications of the generative model. To demonstrate the feasibility and potential impact of your new project, we offer to develop an AI proof of concept. Contact us to learn more.
PoC in Machine Learning refers to an early stage of the development process aimed to prove the ML algorithm can effectively learn from data and make predictions or decisions as intended. This step is inevitable for gauging the viability of the ML approach before it’s developed further. Our team diligently consults and works on developing a proof of concept for machine learning to validate the innovative algorithm’s effectiveness for your business.
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