Data Modernization Services
Our database modernization services are aimed both at removing legacy and investigation of your tech stagnation roots.
We enable rebuilding of your digital infrastructure to eliminate workflow slowdowns and dev team burnout.
AWS Certified Cloud Practitioner
PCI DSS Compliance
HIPAA Compliant
Azure Solution Architect Expert
SOC 2 Type II Certification
GDPR certification
Azure Administrator Associate
Azure Developer Associate
Azure Fundamentals
Your data is fragmented across multiple systems, integration of new tools is challenging
Your current dashboards are slow and inaccurate, you need robust data pipelines
Your legacy data system is out of compliance with modern standards like HIPAA and PCI.
Your data assets are underutilized, it’s hard to adopt advanced analytic tools.
You face rising regulatory demands for data handling and security.
We have delivered data modernization solutions for more than 100 clients since 2007. With profound experience across 7+ industries, we are flexible to apply any tech stack for complete code rewriting or rebuilding of particular modules.
Reduced hotfix release time by
70%Achieved backlog visibility of
100%
Reduced code duplication and raised development efficiency by
75%Lower average time gap in cross-platform feature delivery by
80%
Reduced device setup time
60%Reduced memory use
38%Build a well-organized data ecosystem to fuel operational efficiency, enable seamless automation and increase flexibility.
Unstructured databases built on outdated schemas
Non-automated ETL pipelines with frequent errors and integration failures
Lack of real-time updates, no capability to support dynamic data flow
No input quality control, inconsistent and redundant datasets
Hardcoded architecture that holds back your scalability
Rising operational expenditures caused by legacy databases
Limited abilities to scale AI and enhance analytics
Recurring human errors, team burnout
Poor adherence to regulatory requirements, low customer credibility
Lost competitive opportunities
We go beyond code modernization and reimagine your entire workflow.
Our data modernization company uncovers the fundamental reasons for your tech stagnation. We turn your data into a reliable growth tool, enabling better efficiency, flexibility and business scaling.
We aren’t a full-stack agency. We’ve built our team, processes, and tech strategy specifically to tackle legacy issues and help mid-market players scale and innovate.
We integrate with your workflows, minimizing interference with your developers. While utilizing your Git, CI/CD, and tools, we operate independently, letting your team focus on their work.
Your aging system drains your business resources through slow hiring, security gaps, and delayed launches. We reduce these “dark tech debt” losses before they impact your revenue.
We remove legacy barriers preparing your systems for advanced tech. You can embrace new tools with the future-ready and ROI-driven architecture.
Modernization efforts will be ineffective if the core issue is institutional rigidity. We reveal hidden limits and help grow with flexibility.
We treat your system efficiently: evolve the functioning parts and replace only the ones that require change.
When AI initiatives rely on fragile legacy data foundation, they often fail. Rather than experimenting with advanced tech, we provide data modernization solutions that upgrade data architectures, enabling practical results from AI implementation.
Inconsistent databases cause unreliable AI outcomes. We enable efficient AI training by eliminating silos, inconsistent schemas, and undocumented transformations. A clean and structured data empowers a smooth work of AI models.
Legacy pipelines can’t sustain increased usage due to inflexible logic, manual interventions, and slow batch processing. We rebuild them into controllable, automated systems that ensure resilient AI performance as demand increases.
We modernize data layers gradually, allowing operational systems to run uninterruptedly. With competent consulting and modernization services, AI functionality is implemented without risky rewrites, for fast and controlled rollout.
We remove governance gaps by integrating lineage tracking, role-based access, and full audit logs. AI processes become easy to check and compliant with HIPAA, GDPR, and SOC2, ensuring trust by leadership, regulators, and users.
Instead of cosmetic shifts in brittle warehouses, our consultants redesign them for the cloud, while retaining existing reports and integrations. This reduces infrastructure cost, empowers flexible performance and clearer data ownership, and facilitates further evolution.
Organizations that outsource data modernization benefit from our experience in consolidating data from ERP, CRM, GIS, EHR, billing, and custom platforms into a single, controllable foundation. Standardized schemas and integrations allow for reducing errors, eliminating manual work, creating a reliable data source for informed decisions.
Our data modernization services include building scalable data platforms prepared for advanced analytics. With standardized pipelines, integration opportunities, and easy control, they enable feature reuse, faster updates, and stable operation with growing AI workloads.
Instead of replacing entire systems, we implement event-based data flows. They provide timely insights and alerts, elevating responsiveness. Such modernization approaches don’t disrupt current business operations.
We deeply analyze your data environment,including storage systems, access points, and interdependencies. We identify gaps and redundancies to establish clear goals, compliance needs and roadmap for further improvements.
We conduct a detailed root-cause audit to find the core reasons for your tech stagnation. We evaluate your current data architecture and flow, latency bottlenecks, and code-level legacy elements to determine readiness for modernization.
Dividing your data modernization process into clear, time-scoped phases with DevOps checkpoints
Providing up-to-date architecture schematics and tooling specifications
Proposing on cloud services, frameworks, AI/ML platforms and other technologies
Outlining CI/CD steps
Precise estimate of required resources
Clear tactical plan with timelines and expected deliverables.
We help align data transformation with overall business goals. We explore the most effective ways to use data for better performance, customer experience etc. You’ll get a holistic strategy with general vision and goals.
Book an expert consultation to uncover gaps in your system. Let us modernize your business to its maximum potential.
We focus on modernization for companies unable to grow due to aging systems
We replace only what must be changed, protecting your investment and CTO’s credibility.
HIPAA, HL7/FHIR, SOC2, GDPR, ISO compliance is integrated into every stage.
Integrating into your Git, CI/CD, and workflow tools, we make modernization visible, testable, and traceable
We uncover hidden costs, feature delays, and security gaps and offer ways of their removal
By providing CEOs stakeholder-ready roadmaps and progress metrics, we enable well-grounded transformation
They fulfill your task without seeking to address the issue at the root
Dispersing the focus, they fail to meet specific Healthcare G and other industry requirements
Generalized practices, regardless of the product, team, or business specifics
Initiate full rewrites instead of using the working parts and considering business context
Insufficient collaboration leads to poor handover, with documentation debt and weak enablement.
Development happens in isolation, prioritizing code delivery over actual business value.
Data modernization consulting can help you turn fragmented and inaccurate data into a growth driver. We’ll assess your data capabilities, identify weaknesses and offer recommendations for enhancement, as well as define potential risks and evaluate all the required resources.
Absolutely. Thanks to reliable data pipelines and processing engines, you’ll be able to get real-time accurate information, faster respond to market changes and build data-backed forecasts. As a result, your strategic business decisions become smarter and more precise.
The cost of data modernization solutions can differ significantly based on individual specifics of each project. To provide precise numbers, we should assess your data scope, current tech stack and infrastructure, integration readiness, as well as desired outcomes and business goals.
We run automated testing and manual reviews at each stage of data transformation. During the modernization process we remove inconsistencies and create detailed documentation. Also we ensure full compliance with modern regulatory standards like GDPR and HIPAA to provide maximal compatibility with your business logic and core goals.
Sure. Our data modernization company specializes in a seamless data migration process. We help choose the most efficient cloud platform, clean up the current database to remove redundancy and inconsistency. Then we conduct data migration without loss of valuable information or disruption of ongoing operations.
