Watch the modernization process
iBeam Data Modernization
iBEAM, GenAI + data engineers
The risks of delaying data modernization

Unifying enterprise data for smarter and efficient waste management operations

Accelerating Legacy Modernization with GenAl
What happens when you modernize your data?
How we do it?
Technology stack
Data Governance
- Alation
- Collibra
Cloud Platforms
- Amazon Web Services (AWS)
- Microsoft Azure
- Google Cloud Platform (GCP)
Data Lakes & Warehousing
- Snowflake
- Amazon Redshift
- Google BigQuery
ETL Tools
- Apache NiFi
- Talend
- Fivetran
Real-Time Streaming
- Apache Kafka
- Apache Flink
- Amazon Kinesis
Data Security & Privacy
- AWS KMS
- Azure Key Vault
- HashiCorp Vault
Our trusted clients










Don’t let outdated data hold you back another day
What our happy clients say

Al Bagiro
CTO, Auto Insurance Company

Dan Talken
CFO, Bemodo

Dr. A.K Pradeep
CEO MachineVantage

Rick Tigges
CFO, Bemodo
FAQ's
What value does data modernization bring to my business?
Data modernization helps your organization access accurate insights faster, improve performance, and reduce complexity across teams. It supports timely decision-making, simplifies operations, and prepares your business to scale with greater flexibility and confidence.
How does iBEAM support data modernization?
iBEAM accelerates data modernization by combining GenAI-powered automation with hands-on support from experienced data engineers. It streamlines tasks such as ontology mapping, schema transformation, database upgrades, and the conversion of legacy reports and forms. The accelerator also generates documentation to support audits and compliance needs, reducing manual effort while ensuring secure, scalable, and future-ready data environments.
How long does a data modernization project take with iBEAM?
The timeline depends on data volume, complexity, and system dependencies. With iBEAM, most data modernization projects are delivered within 8 to 10 weeks. By automating mapping, migration, and validation, iBEAM accelerates delivery and minimizes disruption compared to traditional approaches.
How is data security maintained during the modernization process?
The process includes encryption, role-based access controls, and alignment with relevant industry regulations to ensure data security and compliance. As an AICPA SOC-audited company, we follow strict data governance standards. iBEAM also supports automated validation and audit-ready documentation to protect data throughout the modernization journey.
What are the risks of delaying data modernization?
Outdated data systems can limit accessibility, slow insights, and increase security vulnerabilities. Over time, legacy systems may increase maintenance costs by up to 30% and make it harder to integrate with modern tools or data platforms. Modernizing early helps reduce these risks and empowers teams to make faster, smarter, and more scalable decisions.
Can legacy systems and modern data platforms coexist during the transition?
Yes. Many organizations take a phased approach, maintaining legacy systems while gradually modernizing their data infrastructure. iBEAM supports hybrid environments by ensuring compatibility, synchronizing data between platforms, and minimizing disruption during the transition.