Sathus AI 2.0 is now generally available — evaluation harnesses and guardrails included. Explore
Re-architect monolithic applications into containerized, cloud-native microservices on Azure and AWS with zero business disruption.
Re-platform legacy applications to cloud-native architectures on Azure and AWS with zero-downtime migration paths.
A: We use strangler pattern architecture combined with dual-write database replication and blue-green routing.
Common obstacles that prevent enterprises from realizing the full value of AI initiatives.
Tightly coupled legacy systems prevent rapid feature releases and scale.
Lift-and-shift deployments result in bloated cloud infrastructure bills.
Core capabilities that enable production-grade AI systems with enterprise governance.
Orchestrate scalable microservices using Kubernetes (AKS/EKS) and serverless functions.
Implement automated cost controls and zero-trust security postures.
Strangler fig pattern migration, dual-write database replication, and blue-green traffic routing.
The tools and platforms we use to deliver production-grade AI systems.
Cloud transformation lifecycle.
Evaluate application dependency graph and readiness.
Provision enterprise security, IAM, and networking.
Execute strangler fig migration with zero downtime.
Measurable results that drive enterprise value from AI initiatives.
SLA availability achieved across cloud workloads.
99.99%
Real-world examples of how we've delivered AI solutions for enterprise clients.
MetroBank Corp • Financial Services • 12 Months
Mainframe transaction processing bottlenecks.
Cloud-native microservices architecture on Azure.
12M+ active accounts migrated with zero downtime.
Common questions about our AI Engineering practice and approach.
We use strangler pattern architecture combined with dual-write database replication and blue-green routing.
Let's discuss how our engineering practices can accelerate your business outcomes.
