From data to impact
AI Data and Analytics Services
Explore what’s possible with data to enhance performance, resilience, and growth. Our tailored AI-powered data and analytics solutions, delivered with the help of top talent and technology, transform your raw data into valuable insights that drive smarter business decisions and superior outcomes.
15+
Years expertise
140+
Satisfied clients
120+
Team members
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Model development - AI research
Make informed business decisions with insights gained from advanced AI research services. We’re not just about algorithms and data—we’re exploring new opportunities in AI research and creating solutions that think, learn, and adapt like never before.
Challenges we solve
- Improving decision-making by providing data-driven insights based on identified trends, predicted outcomes, and suggested optimal actions
- Enhancing customer experience by learning individual preferences and behaviours through data analysis
- Optimising operational efficiency, reducing costs, and improving service delivery by automating routine tasks
- Managing risk by detecting fraudulent transactions in real-time, predicting and mitigating cybersecurity threats, and ensuring compliance with regulations through automated monitoring
Data analysis
We make the best use of AI and ML data, uncovering trends, forecasts, and benchmarks that illuminate market dynamics and future directions.
Technical and business evaluation
Our experts assess the key technical and business factors that shape AI and ML market activities and business models. We offer machine learning, technology and platform as a service, software licensing, and edge AI hardware and applications.
ML model development
We design tailored machine learning models to address your specific needs. From predictive analytics to computer vision, we use advanced techniques to build models that deliver actionable insights and drive business growth.
ML consulting
Our market coverage is deeply rooted in use cases. We examine the implementation of AI and ML technologies for each specific use case, ensuring that you have the knowledge needed to use these technologies effectively.
Take the next step
Let’s treat the core problems, not symptoms.
Receive a personalised project estimate and take the first step towards bringing your idea to life.
Explore our case studies and find out how we have helped some of our clients from around the world.
Benefits of AI research services
Comprehensive data analysis
Our holistic approach to data analysis enables you to perform time series analysis, customer classification, segmentation, anomaly detection, performance optimisation, and fraud detection within your organisational framework.
Tailored user experiences
Personalise user experiences to create intuitive and customised products for all users, whether they are your internal team members or external target audiences. Make your offerings resonate and meet the unique needs of each user.
Predictive power
Explore AI's predictive capabilities for research to anticipate quality improvements, maintenance needs, revenue projections, and future developments that directly or indirectly impact your business.
Enhanced security
Monitor your assets effectively to meet cybersecurity and physical security objectives, safeguarding your business from potential threats.
Altamira is trusted by
Data pipelines
Data quality is a key requirement for successful adoption of artificial intelligence and machine learning. That’s why we’re here to help you regain data control.
Challenges we solve
- Data accessibility and fragmentation-related issues
- Underused data, not used for internal insights or monetisation purposes
- Datasets validation, cleansing, and augmentation before the integration of advanced AI/ML solutions
- Data management processes integration to ensure proper data quality for future usage
Data pipeline development
Whether complex or simple, data pipelines are the backbone of your data management strategy and AI Adoption Framework. Data pipelines benefit companies of all sizes. Consolidate data from multiple sources into a single data store (data lake, data warehouse) to build a single source of truth and foundation for any data-related activities.
Data pipelines monitoring
If the data is not monitored, it’s most likely in bad shape. Proper monitoring of data pipelines and automated jobs is essential for consolidated, usable, and accessible data.
Scalability planning
As the business grows, data infrastructure might become a bottleneck for further implementation of advanced AI/ML solutions. To avoid this, plan for scalability early on. Design flexible and reliable data systems that can handle increasing volumes of data and more complex analytical processes.
Strive for excellence with Altamira
Altamira has been awarded numerous times for its performance and achievements. Join our community of successful customers, whom we helped to build and grow their businesses through AI-powered data and analytics.
Machine Learning Operations (MLOps)
MLOps, also known as Machine Learning Operations, is a strategy for overseeing the entire existence of a machine learning model, including its training, optimisation, routine use in a production environment, and eventual decommissioning. It covers the whole lifecycle of Machine Learning integration.
Challenges we solve
- Scaling your ML initiatives, managing increased data volumes, model challenges, and computational resources as operations grow
- Streamlining model deployment processes for faster time-to-market
- Implementing MLOps practices for the reliability and governance of ML models
- Automating repetitive tasks and workflows
- Optimising costs associated with model development, deployment, and maintenance
- Implementing data management practices for quality, integrity, and security
- Continuous monitoring and retraining of ML models through MLOps
MLOps development
With expertise in enterprise-level MLOps engineering, we offer numerous solutions tailored to your needs. Whether you require point improvements or full-scale staff augmentation, our team is equipped to support your journey toward operational excellence.
MLOps consulting
We contribute to your MLOps maturity, streamlining your tech stack, enhancing data science efficiency, and meeting governance requirements. From unifying your infrastructure to optimising processes, we ensure that your MLOps initiatives align with your business objectives.
MLOps audit
With our proactive MLOps audit, you can initiate effective change within your organisation. We conduct a thorough maturity assessment, identifying key pain points and prioritising opportunities for improvement.
What benefits can you get?
01 Automation of data pipelines
02 Iterative experiments
03 Automated evaluation
04 Streamlined versioning and deployment
05 Scaling
Streamline your workflow by automating data gathering, labeling, and version tracking. With MLOps, teams can easily navigate through iterative experiments and AI/ML research phases without disruptions.
MLOps enhances the efficiency of the experimentation phase, the cornerstone of building reliable and effective models. Experiment and iterate swiftly towards optimal solutions.
Save time by automating iterative evaluation processes and actions based on received results. MLOps takes care of the technical aspects, allowing you to focus on strategic decision-making.
Ensure reliability and control maintenance costs with automated model retraining and deployment. MLOps simplifies versioning and deployment processes, minimising errors and boosting efficiency.
As your projects grow, so does the need for computing power and infrastructure. MLOps enables smooth scalability, ensuring optimal performance and flexibility to meet your evolving demands.
Time series analysis & forecasting
Time series datasets are tracked, monitored, and aggregated to predict the future by examining patterns and trends in the past. Businesses across multiple industries, from finance to trading and everything in between, use this data science technique to make smarter decisions.
Challenges we solve
- Forecast usage patterns, enabling more efficient energy management and cost savings
- Identify market trends and cycles to align your strategies with market fluctuations
- Forecast revenue, expenses, and other financial metrics to facilitate budgeting, financial planning, and resource allocation
- Predict the lifecycle stages of your products
- Forecast peak periods of activity and plan resources, allowing you to scale operations up or down
- Anticipate potential risks by identifying patterns that precede undesirable events
- Forecast usage patterns, enabling more efficient energy management and cost savings
Our tech stack
We use advanced data engineering tools, libraries, and visualisation frameworks, facilitating the extraction, transformation, and analysis of large datasets to derive actionable insights for data-driven decision-making.
Discover why customers choose Altamira
The team was receptive to feedback, adapting resources to ensure effective collaboration.
CTO, SOLJETS
Ryan Crawford
I am absolutely satisfied with how my app looks and functions. It is exactly what I wanted to get when I decided to go with this team.
CEO & Co-founder, Aquiline Drones
Barry Alexander
CTO, Ticker Tocker
Jonathan Kopnic
Their holistic approach was evident in how professionally they integrated our ideas with their expertise, resulting in a product that totally meets our goals.
CEO, Elula
Deveren Fogle
CEO, CTRL Golf
Ian Cash
Head of Services, Universal Edition
Andreas Bintinger
People also asked
Artificial intelligence is widely used to collect, process, and analyse large volumes of data. At Altamira, we help businesses transform raw data into actionable insights, improve data quality, automate data management tasks, and support decision-making processes. AI data services also often include data integration, data cleansing, data labelling, and advanced analytics. Contact us to get a free expert consultation.
AI in analytics refers to the application of artificial intelligence techniques to improve data analysis processes. AI-driven analytics tools can process vast amounts of data quickly, perform complex calculations, and provide deeper insights. They enable predictive analytics, real-time data processing, and advanced data visualisation, helping businesses understand their data better and make data-driven decisions.
AI itself does not take your data; it processes the data that is provided to it. However, the use of AI involves collecting and analysing data to generate insights. It’s important to ensure that data is handled securely and ethically, following data privacy regulations and best practices. At Altamira, we have clear policies on data usage and obtain necessary permissions from data owners. Get in touch to learn more.
You can use AI to analyse data by using AI-powered tools and platforms designed for data analytics. Start by collecting and preparing your data, then use AI algorithms to process and analyse it. AI can help identify patterns, make predictions, and provide actionable insights. Many businesses use AI for customer behaviour analysis, sales forecasting, operational optimisation, and more. Consider partnering with AI experts or consultants to help you implement and maximise the benefits of AI in your data analysis efforts.
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