Cloud Data & AI Solutions
Create solutions that empower people to make strategic, data-backed decisions that drive growth, enhance customer satisfaction, and optimize operational efficiency.
Built for your needs
Next-generation data platforms & lake houses
We design and create next-generation data platforms to enable data visualization, advanced analytics, and intelligent digital solutions. Data platforms ensure agile value creation from data by collecting, enriching, storing, and sharing data for different use cases.
Data Catalogs
Realizing the value of data starts with contextualizing data and making it understandable and searchable. A data catalog describes what each column in a data asset stands for, what type ofdata the asset contains, and how a data asset is connected to other assets.
Data visualization and KPI solutions
Our dashboards and reports empower you to monitor progress, identify areas for improvement, and drive growth with precision. We design and implement data dashboards with users to guarantee that the tools are in use and meet their specific needs.
Data mesh and modern ways to organize data product development
By adopting a Data Mesh approach organizations create a more scalable, agile, and resilient organizational structure that can adapt to the evolving needs of the business. It promotes data ownership, accountability, and collabration culture, enabling teams to effectively manage and leverage data products within their respective domains.
AI-powered digital solutions
Experience the next level of digital transformation through AI. Our team of experts harnesses the full potential of data through AI technologies to create tailored, data-driven solutions that enhance productivity and drive success. Stay competitive and future-ready with Brightly's team at your side.
End-to-end
data-driven solutions
Creating value from data requires a data strategy, validated use cases, and scalable, top-tier data solutions. Brightly can take care of data-driven solution development from start to finish, including data engineering, data science, and data-driven software development.
Typical cloud data solutions that we work with:
- Data architecture implementation for sectors like media or finance
- Creating and modernizing data platforms to enable AI-driven solutions for sectors like retail or energy
- Predictive analytics solutions to support data-driven management
- Logistics or operations management with machine learning
- Electricity production optimization and forecasting electricity sales
- Machine learning solutions for banking and insurance
Our capabilities
Our AI solutions are designed to boost productivity, foster innovation, and augment existing systems. Our team of AI engineers utilize cutting-edge technologies, including, for instance, OpenAI's generative AI models, sophisticated computer vision algorithms, and a variety of deep learning techniques. We deliver practical AI applications that directly support our clients' business needs.
Extract value and insights from data to generate business benefits. We can help you with forecasting, anomaly detection, generative AI solutions, text & conversational solutions, predictive modeling, and more.
Our service design expertise is centered around data and IoT. Through design thinking, we help our clients achieve stronger alignment between their business, customer and employee needs, and technology to deliver meaningful data-driven solutions. With us, design is a seamless co-effort between our designers, developers, and your teams.
Data engineering is a key activity for enabling data utilization for different use cases. Data is often stored in multiple locations and formats that need to be unified by data engineering.
By adopting DataOps practices, organizations can improve the speed, agility, and reliability of their data operations. DataOps enables faster time-to-insights, reduces errors and rework, and fosters a data-driven culture within the organization.
Together, we build and streamline Machine Learning Operations solutions that align with the objectives of your organization. MLOps frameworks streamline the entire machine learning lifecycle, from model development to deployment and monitoring. Our expert team ensures that your MLOps strategy is precisely tailored to your requirements, enabling you to maximize the value of your AI investments.
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Other services
We work with the full lifecycle of data products,
ensuring seamless coordination between different phases and stakeholders.