Streamline business processes with data integration software. Eliminate data silos, improve consistency and accuracy in your data, reduce manual data management. Enhance data integrity for analytics, reporting, or AI integration.
Service
As businesses grow, so does the amount of data. Systems become fragmented, and data remains locked in silos. Imagine a world where up-to-date, consistent information available in just a few clicks.
Data integration explained
As businesses grow, so does the amount of data. Systems become fragmented, and data remains locked in silos. Imagine a world where up-to-date, consistent information available in just a few clicks.
Success stories
Muuvr
Proprietary active-data-for-crypto platform
#Finance
CH
Modo
A leading data analysis company that provides valuable energy market insights.
#Energy
UK
Hastings Deering
Sells, services, rents and supports new and used Caterpillar machinery, equipment and power solutions.
#Manufacturing
AU
Clear Street
A diversified financial services firm which modernizing the brokerage ecosystem.
#Finance
US
Critical Security
The company specializes in robust cybersecurity solutions to protect digital assets
#Cybersecurity
LT
Dragon Capital
An investment firm that has navigated Ukraine’s rocky financial waters, seizing hidden opportunities for its clients.
#Finance
UA
Fintexus
Operator of a fintech consulting agency intended to offer financial consultancy services.
#Finance
LT
Earlybird
A venture capital investor focused on European technology innovators.
#Finance
DEData integration problems we solve
01
Eliminate data silos
Our data integration software consolidates data from multiple sources, removing silos and enabling seamless systems integration across cloud data and big data platforms.
02
Improve data accuracy
The tool ensures data consistency and accuracy, centralizing information for better decision-making. It enhances the quality of data for analytics, reporting, and AI tasks.
03
Boost data availability
With improved data integration, cloud data becomes readily available for tasks like big data analysis, reporting, and AI integration, supporting faster and more informed business decisions.
04
Reduce manual data management
Automate data handling with our tool, reducing reliance on manual processes such as Excel spreadsheets. Free up time and resources while maintaining data accuracy and efficiency.
Use cases
Pre-built data integration solutions – save time with battle-tested, ready-to-use options instead of starting from scratch
We address data integration challenges in banking by connecting siloed systems and automating complex workflows. This improves operational efficiency and ensures real-time data availability for better customer service and risk management.
Banking
We simplify data integration for insurance providers by automating data flows and ensuring regulatory compliance. This reduces manual effort, minimizes errors, and accelerates claims processing.
Insurance
We streamline asset management by unifying data from various sources, ensuring accurate and timely insights. This enables better decision-making and enhances portfolio management.
Asset management
We optimize data exchange between systems for billing and invoicing platforms. This reduces processing time, improves accuracy, and enhances cash flow management.
Billing and invoicing
Our pre-built solutions samples
These examples highlight how our pre-built approach can address data integration challenges in the finance industry. Of course, we tailor every solution to fit each unique business case.
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Key features of our data integration solution
Data extraction
Effortlessly extract data from various sources, including APIs, databases, and applications, with our data integration software. The tool supports structured and unstructured data, ensuring smooth systems integration across platforms. It streamlines processes and makes big data extraction efficient for cloud data environments.
Data transformation
Preprocess, clean, and transform your data seamlessly. The integration tool enhances data quality by eliminating errors and standardizing formats. It ensures data consistency across systems, preparing your big data for analytics, reporting, and AI integration, improving both accuracy and speed in decision-making.
Data loading
Easily load large datasets into data warehouses or data lakes with our data integration software. The tool automates the data ingestion process, making it simple to manage cloud data. It efficiently handles high volumes of big data, enabling faster access and use for analysis, reporting, and operational needs.
Alerts and monitoring
Get real-time alerts and continuous monitoring for all your data flows. Track cloud data movement, monitor performance, and detect potential issues before they disrupt operations. This feature ensures the reliability of your systems integration, improving data flow security and overall efficiency.
Customer data management
Our data integration app consolidates customer data from various sources, improving data accuracy and integrity. It provides a centralized view of customer data, facilitating better insights and decision-making. It ensures that big data on customers is easily accessible, secure, and ready for analysis, reporting, and AI-driven actions.
Our data integration case studies
Market Insights Analytics Platform
A finance-focused platform developed to integrate diverse data sources, providing real-time insights for informed decision-making in high-stakes trading environments.
- Real-time data integration from trading data, market reports, and external APIs
- Data standardization for accuracy and reliability
- Dashboard for monitoring trends and making rapid decisions
- Enhanced risk management through comprehensive market views
Community Building Platform
An interactive finance community platform that unifies scattered communication channels and user data, creating a cohesive and engaging space for users.
- Scalable integration of user profiles, activity tracking, and gamification
- Automated data synchronization for seamless interaction
- Centralized hub to foster user loyalty, interaction, and knowledge sharing
- Architecture designed to support platform growth and active engagement
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Technologies
Sources for integrations
Databases
- Postgres
- Oracle
- MySQL
- BigQuery
- MongoDB
- Redis
Cloud storage
- AWS S3
- Google Cloud Storage
- Azure Blob Storage
SaaS apps
- ERP
- CRM (Salesforce, Shopify, Zendesk etc)
Analytics tools
- Tableau
- Looker
- Power BI
Big data solutions
- Hadoop
- Apache Spark
Messaging systems
- Kafka
- RabbitMQ
Benefits of our data integration solution
01
Custom data integration solution
For a quicker setup, data integration software includes pre-built connectors for databases, cloud storage, SaaS apps, analytics tools, etc. It enables seamless, no-code integration and allows custom pipelines. Alternatively, in case of any specific requirements, we can build you a custom solution.
02
Integration with ERP, CRM, and other systems
Easily connect with ERP and CRM systems via REST API, direct database connections (JDBC/ODBC), webhooks, or file transfers (CSV, JSON, XML). The tool enables real-time updates and data synchronization across platforms.
03
Security and data protection
Our solution ensures data protection with encryption (at rest and in transit), secure authentication (SSO, 2FA), and role-based access control. For extra security, it can be deployed internally via VPN.
04
AI-driven data integration
AI-powered, no-code tools automate data mapping, suggest connectors, and streamline pipeline building. Our solution uses AI to optimize data integration and supports AI model training with integrated data.
Technologies
Tools powering our data integration solutions
ELT platforms
- Airbyte
- Fivetran
- Stitch
Data warehouses
- Snowflake
- Google BigQuery
- Amazon Redshift
Transformation
- dbt (Data Build Tool)
Orchestration
- Apache Airflow
- Prefect
Monitoring
- Grafana
- Datadog
Methodology
We explore your business context, define a problem,
and transform it into a solution.
and transform it into a solution.
6 steps to implement data integration solution
We explore your business context, define a problem,
and transform it into a solution.
and transform it into a solution.
Talk to the team that powers end-to-end data solutions
One of our data integration software experts will reach out to you to further discuss your project and answer any questions you may have.
Dustin Schulze
Digital Strategy & Solutions Lead
Areas of expertise: finance strategy and transformation, specializing in driving financial growth through strategic planning and operational improvements. Proficient in business analysis, controlling, and reporting.
Ihor Tanyenkov
Senior AI Architect
Areas of expertise: AI strategy and architecture, specializing in turning business goals into scalable, secure LLM/ML solutions. Proficient in solution design, data pipelines, MLOps, model governance, and cloud-native deployment.
Dustin Schulze
Digital Strategy & Solutions Lead
Areas of expertise: finance strategy and transformation, specializing in driving financial growth through strategic planning and operational improvements. Proficient in business analysis, controlling, and reporting.
Ihor Tanyenkov
Senior AI Architect
Areas of expertise: AI strategy and architecture, specializing in turning business goals into scalable, secure LLM/ML solutions. Proficient in solution design, data pipelines, MLOps, model governance, and cloud-native deployment.
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One of our data integration software experts will reach out to you to further discuss your project and answer any questions you may have.
Case studies
- Featured
- New
- Other
FAQ
Have you implemented data integration solutions in real projects?
What specialists are involved in a data integration solution?
Solution architects design the system, data engineers build pipelines, data analysts generate insights, database administrators manage storage, and project managers coordinate timelines.
How is AI used in data integration?
AI powers no-code tools for building pipelines, automating data mapping, and suggesting connectors. Also, companies leverage integrated and consolidated data to train their AI models.
How long does it take to implement a data integration solution?
The timeline depends on the project’s complexity. Typically, we begin with an assessment phase, followed by setup, development, testing, and deployment, which can take from a few weeks to a couple of months.
What is the cost of a data integration solution?
The cost varies based on your needs. Pre-built connectors offer a more cost-effective solution, while custom-built pipelines tailored to specific requirements may increase the investment.
- Drop us a line:
- Contact us:
R&D centers
Zurich, Switzerland (HQ)
Löwenstrasse 45, 8001
Lodz, Poland
Zachodnia 70, 90-403
Business representatives
Salt Lake City, USA
26 S Rio Grande St #2072, Salt Lake City, UT 84101
Amsterdam, Netherlands
Gustav Mahlerplein 2, 1082 MD