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 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Unstructured databases built on outdated schemas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
Our data modernization services address fragmented databases, outdated tools, and rigid on-premise servers to renew connectivity, minimize manual support, and ensure seamless access to critical information.
If you still you use an obsolete database, there is a high risk of duplications, missing fields, and unstandartizated logic of data entries. As a result, your analytics and reporting become unreliable, affecting forecasting accuracy as well.
Legacy systems can’t process evolving data volumes in real time, so performance slows down. Recurring errors and unexpected system failures affect overall maintainability and scalability, so you can’t grow without constraints.
High level of security and deep adherence to regulatory standards are at the core of data modernization solutions by Corsac. We help eliminate all the vulnerabilities to avoid data loss or service disruption.
Outdated software can’t be integrated with AI and advanced analytics, leading to long reporting cycles, data gaps, and error-prone manual data consolidation. It’s harder to make smart decisions that can impact your growth and revenue.
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.
The data modernization tool from Corsac leverages AI to perform a controlled and reliable legacy upgrade. Manual refactoring can cause errors and unexpected costs. The AI-enabled data modernization solutions analyze systems, guide modernization decisions, and support incremental transformation under expert supervision. This approach expedites transformation, minimizing risks, disruptions, and needless expenses.
The solution from Corsac reimagines data integration and modernization by replacing reactive efforts with a systematic engineering methodology.
At its core, the platform leverages a Retrieval-Augmented Generation (RAG) architecture combined with a Multi-Agent Swarm, enabling AI to interpret legacy systems as structured, searchable data.
This streamlines analysis and enables the platform to quickly evaluate system complexity, detecting hidden risks and security gaps. As a result, the intelligent tool generates a consistent and measurable modernization roadmap.
Lower modernization risk. Automated checks, rollback protection, and gradual updates prevent system instability.
Minimal disruption. Applications continue running while modernization is performed in parallel.
Full transparency. Thorough understanding of technical debt, dependencies, and progress.
Quick and comprehensive assessment. AI eliminates time-consuming manual analysis and accelerates decision-making.
No legacy talent dependency. Modern systems and transparent documentation guarantee long-term sustainability.
Corsac delivers data modernization services customized to your business needs. Based on your existing system challenges and goals, we pick the best possible strategy to help you achieve tangible results efficiently and without breaking crucial workflows.
We rebuild legacy architecture, turning a rigid monolith into maintainable, cloud-friendly modules. It helps increase maintainability and data consistency.
Gather, store, and analyze valuable data from all your business channels (СRM, ERP, IoT, etc.) in centralized system thanks to automated pipelines.
Our data modernization solutions help reduce inconsistencies, ensure a high level of data accuracy, and enhance compliance via data validation and standardization across the organization.
We help get rid of legacy constraints created by on-premise dependencies, low hardware capacity, and security gaps. Migration to cloud-hosted data environments will make your scaling seamless and streamline performance.
Corsac’s experts will restructure and validate your criticall data for smooth adoption of ML models and AI-driven workflows. This enables smarter and faster decision-making based on relevant insights, not intuition.
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.
The solution from Corsac delivers data integration and modernization through a sequence of interconnected modules, each representing a specific phase.
The automated assessment of the legacy environment identifies obsolete technologies, security vulnerabilities, and areas of excessive complexity.
By combining vector-based semantic search with Abstract Syntax Tree (AST) analysis, the tool constructs a detailed map of relationships between components, services, and business functions.
Result: a comprehensive view of system structure, risks, and technical debt.
AI algorithms generate a strategic, gradual modernization roadmap. It groups components by business domains and prioritizes them according to dependency order.
RAG-based mechanisms incorporate company-specific requirements.
Result: an organized modernization strategy with measurable milestones and predictable outcomes.
Multiple AI agents are responsible for particular tasks: testing the existing system’s behavior, producing modernized components, and validating correctness.
The exact reproduction of the legacy system’s behavior is guaranteed.
Result: reliable application modernization supported by automated testing and continuously generated documentation.
The transition to upgraded components is handled gradually using intelligent traffic distribution and canary deployment techniques. The new and the old platforms operate in parallel.
Automated rollback mechanisms ensure stable, uninterrupted operation.
Result: seamless migration with zero downtime, full control, and minimized operational risk.
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.
