Cocreate AI played a key role in transforming our data infrastructure, integrating real-time streaming and analytics to enhance our insights. Their expertise also supported our expansion into new markets, making our data systems more scalable and efficient.
Global Head of Data - DigiHaul Ltd.
A robust data platform starts with seamless, reliable data ingestion from a wide variety of sources. We design pipelines that handle everything from structured databases (SQL, ERP systems) to unstructured data (logs, IoT streams, social media feeds). Our solutions support both batch processing for large, periodic data loads and real-time streaming using tools like Apache Kafka, Fivetran, or AWS Kinesis.
Whether integrating APIs, legacy systems, or third-party data providers, we ensure that data flows into your platform consistently and securely. We also address key ingestion challenges such as data deduplication, latency reduction, and error handling, ensuring that your data pipelines are both efficient and resilient.
Once ingested, data needs a secure, scalable home. We build Data Warehouses and Data Lakes tailored to your organization’s needs, leveraging cloud-native solutions like Snowflake, Google BigQuery, Amazon Redshift, or Azure Synapse Analytics. Our architectures are designed to handle large-scale data storage while maintaining high performance and cost-efficiency.
We help you implement data partitioning, clustering, and compression strategies to optimize query performance, whether for operational reporting or advanced analytics. Depending on your business requirements, we also integrate hybrid storage solutions, combining the best of both structured (data warehouse) and unstructured (data lake) environments, enabling flexibility and scalability.
Raw data rarely arrives in a format that’s ready for analysis. We design Data Transformation processes that clean, enrich, and standardize your data for reliable downstream use. Using tools like dbt (data build tool), Apache Spark, or SQL-based ELT frameworks, we ensure your data is accurate, consistent, and aligned with business logic.
Our transformations handle everything from data cleaning (handling missing values, deduplication) to complex joinsand business rule applications. By automating these processes, we reduce manual effort, ensure reproducibility, and make your data analysis-ready for BI tools, dashboards, and machine learning workflows.
Managing complex data workflows requires precise orchestration and automation. We implement orchestration tools like Apache Airflow, Prefect, or Dagster to schedule, monitor, and automate your data pipelines. These tools ensure data moves seamlessly from ingestion to storage to transformation, with clear dependencies and error handling at every step.
Our orchestration strategies include retry mechanisms, failure alerts, and pipeline versioning, providing transparency and control over your data workflows. This reduces operational overhead and ensures data is always fresh and available when you need it, whether for daily reports or real-time analytics.
Reliable data is the foundation of effective decision-making. We implement comprehensive data quality frameworks to monitor, validate, and clean your data at every stage of the pipeline. Tools like Great Expectations or Deequ allow for automated testing, ensuring that data meets quality standards before reaching end users.
In addition to quality, we provide detailed data lineage and metadata management solutions. By tracking where data comes from, how it transforms, and where it flows, we give your teams the transparency needed for compliance, reproducibility, and governance. Whether you’re adhering to GDPR, HIPAA, or internal data policies, our solutions ensure that your data remains secure, auditable, and trustworthy.
Once your data is cleaned, transformed, and stored, it needs to be accessible to the right teams and tools. We ensure seamless integration with popular BI platforms like Tableau, Power BI, and Looker, providing self-serve capabilities that empower business users to explore data independently. For data science and machine learning teams, we optimize data delivery for platforms like Databricks, AWS SageMaker, or Google Vertex AI.
We focus on secure, role-based access control and implement data catalogs to make it easy for teams to find and use the data they need without compromising governance. This ensures your data infrastructure supports both high-level strategic decision-making and granular, advanced analytics workflows.
Discovery & Strategy: We start by understanding your business goals and identifying the most impactful AI opportunities.
Design & Development: We build custom AI solutions tailored to your needs, focusing on scalability, integration, and real-world results.
Deployment & Support: We don’t stop at delivery. We ensure your AI systems run smoothly in production with ongoing support and optimization.
Continuous Improvement: As your business evolves, so do your AI solutions. We help you adapt and stay ahead with continuous learning and updates.
© 2025 Cocreate AI Consulting Nordics AB (559506-3024)