Engineering multi-cloud estates that compound in value across AWS, Azure, and GCP. AI-native by design, built for real-time decisioning and autonomous operations.
AWS · Azure · GCP Certified Delivery
15+ Years. 200+ Cloud Programs
Cloud-Native. AI-Ready. By Design.
Every cloud decision traced to a business outcome
New digital capabilities generating return before the transformation program ends.
Up to 25–40% cloud spend reduction built into architecture from day one. Not recovered post-migration.
Regulatory and compliance obligations defined and signed off before provisioning begins.
Platform selection on evidence. Not relationships.
Every application scored against cost, latency, compliance, data gravity, and integration complexity.
Three-year TCO modeled against actual usage patterns on each candidate platform before architecture begins.
Each workload lands on the platform that genuinely fits it. No forced uniformity.
Factory migration. Wave-planned. Zero unplanned downtime.
Applications grouped by dependency, risk, and business priority. Every wave carries a signed-off success metric.
Pattern libraries from prior engagements cut scoping effort by up to 60% without compressing quality.
Rollback is tested and signed off before go-live. Reduced surprises and no last-minute heroics.
Security and compliance built in from the first sprint
Least-privilege identity, service control policies, and network segmentation in the landing zone before workloads land.
Guardrails enforcing compliance at platform level. Drift caught before it becomes an audit finding.
A structural outcome of architecture reviews at every phase gate across every regulated engagement.
EVOQ accelerates every phase of your transformation
EVOQ pattern libraries cut time from brief to architecture blueprint across complex enterprise migrations.
Automated review gates catching issues at the right stage, not in production after release.
Anomaly detection, root-cause diagnosis, and automated remediation with compliance-calibrated guardrails.
Designed and delivered a cloud-native MVP on Azure for a national medical board, modernizing aging ERP architecture and establishing a trusted data foundation with self-service reporting and analytics.
A prestigious national medical board ran its certification operations on 15-plus-year-old proprietary ERP software that was brittle, costly to maintain, and unable to support its strategic goals or maintain NCCA accreditation requirements.
Delivered a cloud-native foundation on Azure that improved resilience and disaster recovery, established a trusted data foundation with self-service reporting, and set the stage for a scalable greenfield ERP implementation.
Migrated a regional bank's legacy data infrastructure to Azure cloud, consolidating siloed data into a unified lake and warehouse architecture with a tailored governance framework.
A leading regional bank was constrained by legacy systems, data silos, and manual processes that hindered agility, slowed decision-making, and challenged regulatory compliance.
Delivered a modern Azure-based data platform that streamlined operations, unified enterprise data assets, enabled advanced analytics and data science capabilities.
Designed and operationalized a hybrid environment integrating on-premise systems with AWS, including a piloted cloud data lake, to deliver scalable, cost-effective access to analytical data.
A leading financial services organization needed faster, more cost-effective access to analytical data, but its existing model limited agility and scalability and left on-premise systems disconnected from cloud services.
Enabled near-unlimited scalability through on-demand resources, improved cost effectiveness with a pay-for-use model, and strengthened analytical readiness with streamlined workflows and real-time integration.
