Artificial Intelligence Services

AI Consulting, Workshops and Roadmapping

If you are curious or sceptical about AI and its possibilities, we can help you see the benefits for your specific business applications. All it takes is your readiness and willingness to explore the possibilities. Suppose you already have an idea or a particular goal you’d like to achieve. In that case, our experts will help you assess its technological feasibility and find the optimal approach for your budget. Schedule an AI potential discovery workshop to find out:

• Which ideas make the most sense technologically and financially
• How to break down the ideas into iterative development steps
• What are the risks and opportunities, along with expert advice on how to navigate them
• What’s the optimal roadmap to explain the steps so that you can present it to the decision-making team

Data Preparation and Management

AI tools and products heavily rely on large amounts of data. Quality datasets are necessary to help them perform the task accurately and reliably. Acquiring solid data to build a powerful AI project can be a challenge. Here’s how we can help you gather and prepare quality data for your AI solutions:

• Continuously monitor for changes in the data distribution that could affect model performance over time
• Help you find the best data source for your needs: from your input, synthetic, outsourced or a combination of these collection techniques
• In case you already have some data at your disposal, we’ll clean it for you and eliminate redundancies
• Make sure your data is correctly labelled. Data annotation is essential for practical training of models and algorithms
• Divide your data into unified sets for training and testing

Proof of Concept (PoC) and Minimum Viable Product (MVP) Development

When you have ideas for implementing AI tools and solutions in your organisation, you might want to test if they’re possible before investing significantly in new skills and technologies. We’re here to help you with that. With PoC development, you can ensure that the idea is possible and can be developed. An MVP will help you with testing and initial implementation.

Complete AI Product Development

In addition to conceptualisation and testing, our team is ready to help you build and deploy complete AI-based solutions and products. Some of the examples include:

• Complex machine learning model development from PoC, through MVP to deployment and everyday operations
• Computer vision-based tools for object detection, recognition, tracking and monitoring
• Intelligent sensors for predictive maintenance, precision agriculture and other applications
• AI-enhanced IoT networks for connected sensors and devices in areas like smart factories, cities and remote healthcare
• AI-driven software development for automated code generation, testing, and bug fixes and predictive analytics
• Mobile development with AI for intelligent applications that can turn the device into a personal assistant or object detection and tracking tool
• AI-based R&D projects that will help you take the lead in innovating your niche and finding new solutions to unique challenges

Continuous Improvement and Monitoring with MLOps

Especially important in machine learning, MLOps helps ensure the steady and reliable development of ML and AI projects. It allows you to continuously monitor and improve the efficiency of the models and algorithms. It also makes tracking and documenting progress easier, enabling smoother transitions from PoC to deployment or picking up work in case the team lineup changes. MLOps also helps supervise the model in everyday settings and make necessary improvements.

Team Augmentation and Outsourcing for Your AI Projects

If you already have a project outlined but need more specific talent to fill your in-house team or require a fully dedicated team to carry out the project so that you can focus on core business processes and activities, we’ve got you covered. We’ll find developers to join your workforce and build your solution from start to finish.

Agentic AI

Agentic AI refers to systems that act autonomously, reason through complex workflows, and interact with infrastructure in a predictable, verifiable way. Our role is to help engineering teams design, implement, and operate agent architectures that act within defined boundaries, integrate safely with existing infrastructure, remain fully observable and auditable at runtime, and consistently produce outputs that can be trusted under load.

AI for Manufacturing and Warehousing

Examples of AI applications in this sector include:

• Predictive maintenance
• Process automation
• Predictive analytics
• Monitoring drones
• Big data management

AI for Logistics and Transportation

AI solutions for logistics and transportation include:

• Route optimisation
• Demand forecasting
• Load optimisation
• Float management
• Autonomous vehicles

AI for Agriculture

In the agricultural setting, artificial intelligence can be used for the following:

• Crop monitoring and management
• Precision agriculture
• Harvesting robots and cobots
• Livestock management and monitoring
• Irrigation management

AI for Drone Manufacturers

Drones can highly benefit from AI adoption in the following ways:

• Navigation and obstacle detection
• Surveillance and monitoring
• Search operations
• Mapping
• Precision agriculture

Machine Learning

• Ideation and roadmapping
• Model development and training
• Data preparation and management
• MLOps for continuous improvement and monitoring

Computer Vision

• Object monitoring and tracking
• Intelligent automation with machine vision
• Data preparation and management
• PoC and MVP development

Audio Processing

• Speech enhancement solutions
• Text-to-speech and speech-to-text synthesis
• Automatic transcription models
• AI-based voice assistants

AI-Driven Mobile Development

• Automated development processes like testing and debugging
• Computer vision for automated image analysis
• Location-based smart beacons for local user engagement
• Augmented reality for sports and health applications