Legacy System Modernization
Rebuild aging monoliths into modular, AI-ready software your team can extend.
MainframeRefactor
We rebuild enterprise software for the AI era — with the auditors to map your legacy, the strategists to plan it, and the engineers to ship it.
Start Your TransformationDigital transformation in the AI era isn’t a chatbot bolted onto legacy software — it’s re-engineering enterprise systems so AI is woven into data, workflows, and decisions from the ground up. Cloudmate’s engagement covers four pieces: a legacy systems audit, an AI-native target architecture, a phased rollout plan, and the engineering team to ship it.
Map your current tech, data, and process landscape — including the technical debt slowing AI adoption.
A blueprint for systems where AI is part of the design, not a feature added later.
A 12–24 month migration path that avoids big-bang risk and keeps the business running.
A dedicated team to build, integrate, and ship the new systems alongside your in-house engineers.
Rebuild aging monoliths into modular, AI-ready software your team can extend.
Lakes, warehouses, streaming pipelines, and governance built for production AI.
Migrate workloads to AWS, GCP, or Cloudflare with cloud-native architecture.
Connect legacy systems and AI services with typed APIs and event-driven patterns.
Build apps with AI woven into the architecture from day one.
Stakeholder mapping, training, and adoption tracking so transformation lands.
Industry verticals with dedicated transformation advisors.
Healthcare · Retail · Insurance · Real Estate
Cloud platforms we ship to — single architecture, no lock-in.
AWS · GCP · Cloudflare
Vendor lock-in — we ship cloud-agnostic architectures.
By policy
Engagements ship to production — not just architecture decks.
Cloudmate standard
To first Audit Report — Phase 1 turnaround on every engagement.
Discovery & Audit phase
Senior engineers on staff — modernization, cloud, data, and AI.
Across our engineering team
Stakeholder mapping, legacy systems audit, current-state baseline of tech, data, and process landscape.
AI-native target architecture plus a phased 12–24 month migration plan with risk assessment.
Build the first AI-native module, integrate with legacy, validate with real workflows before scaling.
Dedicated engineering team delivers iteratively — modernization, integrations, and AI capabilities to production.
Change management, training rollout, and adoption tracking — so transformation lands with your people.
AWS
GCP
Cloudflare
Vercel
Python
Node.js
TypeScript
React
Next.js
Tailwind
Postgres
MongoDB
Redis
Kafka
dbt
Supabase
OpenAI
Claude
Gemini
Llama
LangChain
LangGraph
Docker
Kubernetes
Terraform
GitHub Actions
Pulumi
SOC 2
HIPAA
GDPR
PCI DSS
ISO 27001HIPAA · HL7 · FHIR
PCI-DSS · OMS · POS
IRDAI · SOC 2 · GDPR
CRM · MLS
Not a service — a product. The AI-native customer platform we recommend when transformation work includes CRM modernization.
Explore the SolutionWe'll turn legacy systems and manual processes into an AI-first operation.
