Infotel, là où vous êtes
AI Solutions
Our teams carry out end to end development projects and shape your business ideas into ready-to-go AI solutions.
Our Technologies
Our AI Know-How
AI Architecture Design
AI architecture design is the structured framework or blueprint for building and implementing artificial intelligence systems. Given our consultancy’s focus on data compliance and risk management, offering this solution is essential for clients in industries handling sensitive data.
AI Maintenance And Support
We offer a full lifecycle AI managed service, providing an operational scheduled audit and maintenance of the AI solution, including hosting and continuous support.
AI Solution Development
As AI Development consultants, we transform your AI vision into an operational system. Our AI Developers build the system, while our wider team analyses requirements, delivers training, and manages the transition seamlessly. From concept to implementation, we ensure your AI development solution aligns with your objectives, enhancing innovation and efficiency across your business.
Machine Learning
Machine learning solutions are the primary reason business transformations leave the competition behind. It is proven that ML technologies help to increase sales, improve productivity, analyse large data quickly and identify trends and enhanced customer satisfaction. To ensure your business requirements are being fulfilled, contact us for a consultation with our experts.
AI Deployment with Serverless Computing
Our AI Deployment service uses serverless computing to efficiently run AI models without managing infrastructure. Ideal for dynamic applications like chatbots and prediction services, serverless functions are cost-effective and scalable. Supported by AWS Lambda, Azure Functions, and Google Cloud, this ensures optimal performance and flexibility for your AI solutions.
Natural Language Processing
Our service utilises Natural Language Processing to power applications like chatbots sentiment analysis, and language translation. NLP allows machines to understand and generate human language, enhancing customer interactions and automating tasks. Backed by platforms like AWS, Azure, and Google Cloud, our solutions ensure scalability and optimal performance for your business.
Why trust AI from Infotel UK Consulting?
Client-First Flexibility: Our solutions are AI powered and built to deliver client value. That’s why they’re built to work with virtually any technology partner and used through a variety of consumption models and hosting environments, based on the specific client need.
Artificial Neural Networks (ANNS): Intelligent applications by ANNs and ML can help you to accelerate business processes, outperform competitors and enhance strategic planning. Our successful ML projects incorporate supply chain performance improvement, service delivery, smart recommendations, risk analysis and more.
Fine tuning LLM’s: We specialize in fine-tuning Large Language Models (LLMs) to meet your requirements, whether you need to improve performance in specific domains, adapt to datasets, or enhance content generation capabilities. With a focus on precision and efficiency, we work closely with you to understand your objectives and tailor our fine-tuning process accordingly.
AI Development Solutions Success Stories
DEVELOPING AN AI VISUAL SYSTEM FOR INDUSTRIAL QUALITY ASSURANCE
Achieving a high defect recognition accuracy solution using deep learning training, based on AI visual system solutions.
APPLIED ARTIFICIAL INTELLIGENCE PROGRAMME
Creating an AI programme to oversee technical, commercial, legal and regulatory requirements for maintaining operational conditions of vehicles.
ADVANCING GDPR COMPLIANCE WITH NATURAL LANGUAGE PROCESSING
Collaborating with the National Innovation Centre for Data to leverage AI to automatically detect PII.
What our clients say
‘‘The project’s success hung upon the ability to organise, delegate and work well across multi-national teams. We struggled to envision one clear framework from which we could all work until Infotel provided a clear roadmap of how we could achieve our collective goal.’’
Senior Project Manager
Automotive Sector
‘‘The introduction of AI as a development solution wasn’t something we had thoroughly explored prior to our exploration call with Infotel. I’m glad to say that with the guidance of the team they provided, we’d continue our working relationship with them long into the future.’’
Business Analyst
Logistics Sector
‘‘It’s not just the strength of the deliverable outcome we appreciated from Infotel, it was the transparency of the project from start to end. Their expertise in AI and deep machine learning provided us with a new system, with a strong emphasis on automating defect recognition in QA - which is exactly what we asked for.’’
IT Project Manager
Manufacturing Sector
Frequently Asked Questions
What’s the difference between AI and ML (machine learning?)
Artificial Intelligence (AI) is an umbrella phrase that is often used to describe solutions that can perform tasks that typically require human intelligence. Machine Learning (ML), is regarded as a subset of AI that involves teaching machines to learn from data without being explicitly programmed. Whilst AI encompasses a range of techniques aimed at replicating human-like intelligence, Machine Learning specifically refers to the ability of machines to learn and improve from experience without being explicitly programmed for every task.
How can AI drive business efficiency?
AI can drives business efficiency by automating repetitive tasks and streamlining processes. AI can provide data-driven insights that can help deliver informed decision-making. AI can enhances productivity, reduces errors, and optimise resource allocation. This can enable organisations to operate more efficiently, allocate resources effectively, and extend their operational reach.
How can AI help reduce business costs?
AI can help organisations reduce costs by automating repetitive tasks. It can optimise processes across departments, such as purchasing, finance, sales, marketing, engineering and customer service. This can lead to increased operational efficiency and lower overheads. AI-driven predictive analytics can be used to identify cost-saving opportunities, allowing you to make data-driven decisions that minimise expenses and improve profitability.
What is AI compliance?
In early 2024, there are no AI regulations that organisastions need to comply with explicitly, however there are many data handling and data protection regulations (such as GDPR and HIPAA) that define how data can and cannot be used. These regulations have an impact on how data could be used by AI, and organisations and individuals need to ensure that they manage any data shared with an AI model in accordance with the data regulations. Numerous governments and agencies around the world are discussing AI regulation, and it is conceivable that there will be new AI regulations launched in the years ahead.
Are you ready to achieve greater results with faster, more productive data and AI?
Get in touch with one of our specialists.
