AI Consultancy
We offer consultancy on AI trends across industries and on what the right AI technology for your business.
At AxcelerateAI we aim to empower organisations with state-of-the-art artificial intelligence technologies that can make automate different workflows and processes, significantly reduce operating costs and enhance exsiting products and services.
We offer consultancy on AI trends across industries and on what the right AI technology for your business.
We specialise in designing data management solutions for large scale datasets and building analytics dashboards.
We empower businesses by building custom machine learning models tailored to their use cases and trained on their data.
We build and maintain cost-effective scalable production infrastructures for deploying ML models.
We want businesses to fundamentally change how they operate and deliver value to their customers by accelerating their AI transformations.
Team members committed to innovation and excellence
AI models built and trained on custom datasets for dozens of clients
API requests processed on our production servers by our AI models
Average time to build a MVP of an AI-powered web app
We provide services in multiple AI domains. We take care of everything from data collection and pre-processing to building and deploying your AI solution.
Computer vision involves training computers to understand and analyze visual data, allowing them to identify objects, recognise patterns, and make decisions based on imagery.
NLP is a field of AI that enables computers to comprehend and generate human language, facilitating meaningful communication between humans and machines.
Modern conversational AIs use large language models to understand and respond to human language, enabling seamless interactions in customer service, personal assistants, and other applications.
Generative AI involves training models to produce original content, mimicking human creativity in generating text, images, audio, and other media forms.
Predictive forecasting uses machine learning models to analyse historical data, predicting future trends and outcomes to support decision-making and planning.
Recommender engines analyse user interactions and preferences to generate personalised recommendations, improving user engagement and satisfaction across various platforms.
Every day, people send out hundreds of emails requesting private aircrafts for charter. On of our clients, True Aviation, wanted to connect people who had private aircrafts available along a specific route with people who wanted to travel on that route. For this, they required an interface that allowed
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Our client wanted to use AI to automatically extract data from invoices and receipts. The extracted data can then be programmatically added to an accounting software such as Quickbooks. This eliminates the need for manual data entry - which is significant for larger companies that may need to process
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One of our clients wanted to build an AI tool to analyse soccer matches and automatically derive insights that can help players identify the areas in which they need to improve. The goal was to build an AI tool capable of extracting detailed analytics from soccer match videos, including
Read MoreDiscover firsthand testimonials from our satisfied clients. Hear their stories, experiences, and how our solutions have made a positive impact on their businesses and exceeded their expectations.
“AxcelerateAI developed a computer vision app [which] seamlessly integrated with [our] platform and achieved high accuracy, precise tracking, and processing efficiency, receiving very positive user feedback. AxcelerateAI was highly organised, responsive, and communicative, and they offered great value for the money.”
“[Because of AxcelerateAI we] experienced favourable results in both precision and recall metrics, along with improved response times of the [LLM-based] system. AxcelerateAI has ensured prompt responsiveness and delivered all tasks [assigned] on time. Their meticulousness and tech stack knowledge are exemplary.”
“One of the most notable attributes of this company that stood out prominently was their exceptional commitment to innovation and efficiency. The organisation demonstrated a distinctive ability to navigate complex challenges by leveraging cutting-edge technologies and adopting forward-thinking methodologies.”
Select us for our expertise in building custom, reliable and scalable AI solutions. We focus on understanding your needs and empowering your business to achieve optimal performance and drive growth.
Our custom AI solutions are tailored to your specific use case, ensuring optimal performance and superior results compared to generic third-party APIs.
We provide a reliable, scalable architecture designed to ensure continuous operation with no downtime, supporting your business's growth and stability.
Our solutions can be hosted entirely locally, guaranteeing data privacy and preventing any risk of data leakage, ensuring your information remains secure.
High-quality data is crucial for training robust and accurate AI models. Traditional data collection methods, however, are often hindered by high costs, time constraints, and privacy concerns. Enter synthetic data generation—a revolutionary approach that addresses these challenges by creating artificial data for training AI models. This article explores the concept
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Graph Neural Networks (GNNs) have emerged as a powerful tool in artificial intelligence and machine learning, offering novel ways to model complex relationships within data. Unlike traditional neural networks, which operate on fixed-size inputs, GNNs are designed to work with graph-structured data, making them highly versatile and applicable across various
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In an era where digital threats are evolving rapidly, artificial intelligence (AI) has emerged as a critical component in fortifying cybersecurity measures. The increasing sophistication of cyber-attacks requires equally advanced defence mechanisms, and AI's capabilities in pattern recognition, predictive analysis, and real-time response are proving invaluable. This article looks
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