Your System is Working, But Not Evolving.
The platform still runs. Orders still process. Reports still generate. But every new feature takes three times longer than it should, your best engineers spend their time maintaining instead of building, and integrating anything modern feels like surgery on a moving patient.
Talent Cliff
The developers who built the system have moved on. New hires don’t know COBOL, VB6, or your proprietary framework. Institutional knowledge is evaporating.
Data Trapped in Silos
Critical business data locked in proprietary formats and disconnected databases. You can’t run analytics, train models, or build dashboards on data you can’t access.
Security Exposure
Unsupported runtimes, unpatched dependencies, and authentication systems that predate modern security standards. Every audit becomes a crisis.
AI Incompatibility
Your current architecture can’t support real-time data flows, ML model inference, or agent-based automation. You’re locked out of every AI initiative that matters.
- Monolithic architecture
- Batch processing overnight
- Manual deployments (weeks)
- Siloed, proprietary data stores
- No API surface
- Legacy UI (desktop-only)
- Zero AI capability
- Modular microservices
- Real-time event-driven pipelines
- Automated CI/CD (hours)
- Unified, AI-ready data layer
- REST/GraphQL APIs for everything
- Modern responsive interfaces
- Copilots, agents, and automation
Rip-and-Replace Fails. Incremental
Modernization Doesn’t.
Most full rewrites take 2-3x longer than planned, cost 3-5x more than budgeted, and
lose embedded business logic along the way. We take the other path.
The Big-Bang Approach
- 18-36 month timelines that balloon unpredictably
- Business logic lost in translation between old and new
- Two systems to maintain in parallel during transition
- High failure rate: Gartner estimates 70% run over budget
- Team morale drops as the “forever project” drags on
Incremental Refactoring + AI
- Module-by-module migration, production stays live
- AI maps and preserves embedded business logic
- Value delivered in weeks, not quarters
- Each phase is independently deployable and rollback-safe
- AI handles code translation, test generation, and dependency mapping
Six Layers We Upgrade
We don’t just move your code to the cloud. We re-engineer each layer of your
stack to be modular, observable, and AI-ready.
API Surface Creation
We wrap your legacy core with modern REST and GraphQL APIs, giving every system in your stack a clean, documented way to interact with it.
Data Layer Unification
Siloed databases, flat files, and proprietary formats get consolidated into a unified data platform that supports real-time queries, analytics, and AI model training.
Service Decomposition
Monolithic codebases broken into independently deployable services. Each module gets its own CI/CD pipeline, scaling policy, and monitoring.
Security & Compliance Overhaul
Modern auth (OAuth2, SSO), encrypted data at rest and in transit, automated compliance reporting, and vulnerability scanning on every build.
Interface Modernization
Desktop-only or browser-specific UIs replaced with responsive, accessible interfaces. Your users get a modern experience without waiting for the backend rewrite.
AI Layer Integration
Once the stack is modular and the data is accessible, we embed AI copilots, workflow agents, and intelligent automation directly into your business processes.
From Audit to AI-Ready in Five Phases
Each phase delivers working, deployable improvements. You see value from phase one, not after phase five.
What Modernized Systems Look Like in Production?
Real outcomes from enterprises that moved from legacy constraints to modern, AI-capable platforms.
Healthcare Records Platform
A fragmented records system spread across three provincial databases consolidated into a unified, HIPAA-aligned cloud infrastructure. AI-powered clinical summarization was added to generate patient briefs from unstructured notes, lab results, and imaging reports.
Manufacturing ERP
A legacy ERP built on SAP R/3 has been modernized with a microservices-based architecture and real-time shop floor integration. AI models are layered in for defect detection on assembly lines and automated procurement triggers based on production velocity.
Built for the Platforms
Enterprises Actually Run On
We’ve modernized systems across every major legacy stack. If it’s old and critical,
we’ve probably refactored something like it.
Let’s Unlock It.
Get a free technical audit of your legacy platform and a phased
modernization roadmap tailored to your stack and business goals.
Latest Thinking
Perspectives on AI, engineering, and the future of software development
Offshore Mobile App Development: Cost, Process & Benefits
Key Takeaways Offshore mobile app development refers to hiring a team from…
The NineHertz Selected as the OpenGov 2026 Professional Services Partner of the Year
[CHICAGO, IL] — May 2026 — The NineHertz has been recognized as…
Offshore vs Nearshore – Which Model is Right for Your Business?
Key Takeaways Offshore development refers to partnering with an offshore team in…
The NineHertz Appoints Rohit Rao as CTO to Steer Its AI-Native Engineering Charter
Jaipur, India, May 21, 2026 - The NineHertz has appointed Rohit Rao…
Offshore Website Development: Benefits and Cost in 2026
Key Takeaways Offshore website development is the process in which a business…
Tarun Khatri Joins NineHertz as CEO to Spearhead Strategic Growth
GA, United States July 24, 2025 - In a bold move aligned…
