R&D
Transforming the process of innovation
Exploring, deepening, and applying cutting-edge technologies in areas like automation, data science and the Internet of things, now INTERA is strongly betting in developing embedded AI solutions and accelerators focusing on optimizing computing performance, to make AI applications more efficient and more accesible to people.
R&D
Whether you are looking to launch new embedded technologies or modernize your existing solutions, INTERA’s leading R&D services can help you explore new opportunities and identify potential areas of growth.
We use our extensive knowledge of the embedded solutions market to conceptualize and build technological improvements tailored to your business needs. Partnership with INTERA will allow you to accelerate innovation within your organization and gain a strong competitive advantage.
Our R&D process is based on:
Exploring new algorithms, improving existing models, and developing innovative tools to enable machines to perform tasks that typically require human intelligence such as learning, reasoning, problem-solving, perception, and language understanding.
Our process of AI R&D involves theoretical work (e.g., devising new mathematical frameworks), experimentation (e.g., training models on massive datasets), and practical implementation (e.g., deploying AI in real-world applications). INTERA´s AI R&D is pushing boundaries in fields like quantum computing integration, generative AI, and multi-modal systems that combine text, images, and more.
Problem Solved?
INTERA helps effectively solve complex problems, facilitating a structured approach that includes the following steps:
Artificial Intelligence (AI) research and development (R&D) by INTERA has the potential to address a wide range of complex problems across various domains. Following we highlight some general areas where our AI R&D has made significant strides in solving real-world challenges.
Here are common problems addressed by our innovation, grounded in real-world applications:
Repetitive Task Automation
Problem: Manual, repetitive work like data entry, sorting, or basic customer queries wastes time and is prone to human error.
AI Solution: Robotic Process Automation (RPA) with AI handles these tasks faster and more accurately. Natural Language Processing (NLP) powers chatbots for customer service, while computer vision automates visual inspections.
Data Overload
Problem: Humans can’t sift through massive datasets like terabytes of sensor logs or social media posts to find insights quickly.
AI Solution: Our Machine Learning (ML) extracts patterns and trends from big data, using clustering, classification, or regression. Tools like neural networks handle unstructured data (text, images, audio).
Prediction and Forecasting
Problem: Guessing future outcomes like incidents, accidents, weather, or equipment failure based on gut feel or simple models is unreliable.
AI Solution: Our predictive analytics with time-series models or deep learning forecasts outcomes with higher accuracy by learning from historical data.
Decision-Making Under Uncertainty
Problem: Complex choices like medical diagnoses or logistics routing involve too many variables for humans to process optimally.
AI Solution: Our reinforcement learning and decision trees weigh options and outcomes, often paired with real-time data inputs.
These problems pop up everywhere. In healthcare, AI predicts patient outcomes (forecasting) and spots vital signs (pattern recognition). In logistics, it detects asset misplacement (usage anomaly detection) and optimizes equipment (resource allocation). Even in creative fields, our AI automates data processing or generates instructions (task automation). Our success lies in ensuring AI adaptability to train it on the right data, and it bends to fit the challenge.
INTERA is made up of the most committed professionals in Europe who collaborate with clients to work towards creating the most advanced AI solutions & chip accelerators.
The company has developed innovative solutions for various applications, advancing the state of the art and creating value for its customers and partners.
