Case study
AI chatbot for geothermal permit applications
We built an AI chatbot for Herrljunga municipality that guides citizens through geothermal permit applications via chat, interactive maps, and automated geographic validation.
Machine learning and data analysis
Transform your data into concrete business insights
Are you sitting on valuable data without using it? We build solutions that predict customer behavior, optimize pricing, and automate decisions. Make full use of your data.
Data expertise at Fiive
We help you use data to make smarter decisions, automate processes, and identify new revenue streams. From predictive analysis to machine learning in production.
- Predictive analysis for better business decisions. Predict customer churn, demand, and risks before they occur. With predictive models, you can act proactively instead of reactively.
- Natural Language Processing (NLP). Analyze customer reviews, support tickets, and feedback automatically. Understand what your customers really think and identify areas for improvement. Reduce time for manual analysis.
- Data refinement and data quality. Raw data is worthless without structure. We clean, process, and structure your data so you can trust your analyses and make confident decisions based on correct information.
- Machine learning that delivers ROI. We develop advanced systems that automate complex processes. From dynamic pricing that increases margins to automatic product categorization.
- Data analysis for concrete insights. We analyze your sales data, customer behavior, and operational processes to identify improvement opportunities that directly impact profitability.
- Deep learning for advanced problems. Identify complex patterns in images, text, or time-series data that humans miss. From quality control in production to anomaly detection in financial transactions.
Our process - From idea to production solution
We develop, integrate, and maintain advanced systems that solve real business problems. From initial analysis to continuous improvement in production.
- Identify.
We analyze your business challenges and map what data you have available. This determines which methods and models are relevant. - Define.
We define the project's goals, metrics for success, and technical approach. This includes which model type fits best and how the solution should be integrated. - Pilot.
We build a first version of the model and validate that the method works on real data. This provides concrete metrics for evaluating business value. - Integrate.
We connect the solution to your systems and workflows. This ensures that the model's predictions reach the right people in the right format at the right time. - Develop.
We develop the solution for production where performance, scalability, and cost-effectiveness are optimized. This includes APIs, monitoring, and fail-safe processes. - Maintain.
We monitor the model's performance continuously and retrain when data or business conditions change. This ensures long-term accuracy.
Frequently asked questions
Common questions from teams evaluating data analysis and machine learning initiatives.
What are the biggest benefits of machine learning and data analysis for companies?
Machine learning and data analysis help companies make better decisions, predict trends, automate repetitive work, and improve customer experience. This usually leads to higher efficiency, lower costs, and clearer prioritization.
How does a data analysis project work in practice?
We start with business goals and available data, then define success metrics, build a pilot, and validate impact. If the pilot works, we productionize and integrate the solution into your workflows.
How long does it take to launch a first ML solution?
A first pilot can often be ready in a few weeks. Production-ready solutions usually take longer depending on data quality, integrations, and compliance requirements.
Previous projects
We work with companies across industries. Read our previous projects and what outcomes the solutions delivered in practice.
Tell us what you want to build.
Tell us briefly what you want to solve — product, automation, integration or something else. We reply within a day with a concrete take on whether we can help, and what a first step would look like. If we're not a fit, we'll say so.
Offices
Masthamnsgatan 3
413 27 Göteborg