Services

Data Engineering Solutions That Power Your Business

Build a robust, scalable data foundation that transforms raw information into actionable insights. From data ingestion to seamless integration for Analytics and AI, we help you design data platforms that drive smarter decisions and fuel innovation.

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.

Wenjia Tang

Global Head of Data - DigiHaul Ltd.

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Is Your Data Driving Real Business Impact?

In a data-driven world, having the right infrastructure is key to unlocking business value. Whether you’re consolidating siloed data, enabling real-time analytics, or scaling your operations, we provide end-to-end data engineering solutions tailored to your unique needs.
From Raw Data to Business Impact

The Power of Modern Data Platforms

Streamline Data Workflows

Efficient data workflows start with seamless data ingestion from diverse sources—whether APIs, IoT devices, or legacy systems. We design data pipelines that handle structured, semi-structured, and unstructured data, ensuring consistent, high-quality inputs for downstream processes. By automating these workflows, you reduce manual intervention, minimize errors, and accelerate the time it takes to move from raw data to actionable insights.

Scalable Solutions That Grow with Your Business

Access to timely, data-driven insights is critical for informed decision-making. Our AI models process large volumes of structured and unstructured data in real-time, uncovering patterns that support accurate forecasting and risk assessment. Whether optimizing resource allocation, predicting customer behavior, or identifying potential disruptions in supply chains, AI enhances your ability to make proactive decisions. This shift from reactive to predictive decision-making equips your business to adapt quickly to changing market conditions.

Ensure Data Quality, Lineage, and Governance

Data quality is critical to building trust in your analytics. We implement comprehensive data quality frameworks to monitor and validate data at every stage of the pipeline. Additionally, we provide data lineage and metadata management tools to track how data flows and transforms over time, ensuring transparency, compliance, and reproducibility. This foundation supports better governance and helps maintain the integrity of your data assets.

Empowered Teams Through Self-Service and Data Mesh

By decentralizing data ownership and enabling self-service access, modern data platforms put insights directly into the hands of the people who need them most. Teams across departments can access and analyze data independently, leading to faster innovation and more agile decision-making—without waiting on IT or technical specialists.
Our Approach

Building Data Platforms That Deliver

At cocreate, we don’t just build data pipelines—we create comprehensive, scalable data platforms tailored to your business needs. Our approach integrates the key components of modern data engineering:  Ingestion,  Storage, Transformation, Orchestration, and Governance. We ensure that your data infrastructure is reliable, efficient, and capable of supporting both current operations and future growth.
At cocreate, we don’t just build data pipelines—we create comprehensive, scalable data platforms tailored to your business needs. Our approach integrates the key components of modern data engineering:  Ingestion,  Storage, Transformation, Orchestration, and Governance. We ensure that your data infrastructure is reliable, efficient, and capable of supporting both current operations and future growth.
Data Ingestion: Bringing All Your Data Together

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 KafkaFivetran, 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 deduplicationlatency 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 SnowflakeGoogle BigQueryAmazon 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 partitioningclustering, 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 toolsdashboards, and machine learning workflows.

Managing complex data workflows requires precise orchestration and automation. We implement orchestration tools like Apache AirflowPrefect, 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 mechanismsfailure 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 GDPRHIPAA, 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 TableauPower 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 DatabricksAWS 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.

Our Process

Partnering for Success

At cocreate, we believe in partnership, not just consulting. Here’s how we work with you:

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.

Interested?

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Let’s Turn Your Data into Impact

Ready to explore how AI can drive real impact for your business? Whether you’re looking to discuss a specific project or just want to learn more about what’s possible, we’re here to help. Book a free meeting with our team to discuss your goals, or drop us an email with your questions – we’ll get back to you shortly!