Solutions / AI-Infused SaaS & Apps
02 / InnovationArchitect, modernize, and infuse AI into enterprise cloud applications.
As a certified Microsoft Solutions Partner for Digital & App Innovation, we build multi-tenant SaaS platforms and transform legacy applications into high-availability cloud microservices.
Engineering pedigree & stack
CMMI Level 3 engineering pods, full-stack on Microsoft Cloud.
Disciplined pods own a service from architecture to release, with the same review, test, and security gates on every sprint.
Languages & frameworks
Full-stack mastery across back-end services and modern frontend architectures.
Cloud platform
Containerized microservices sized for high concurrency and high availability.
Delivery
Automated pipelines with security checks built into every build and release.
Modernization capabilities
Modernize the platform and make it ready for AI.
Monolith-to-microservices migration blueprints
A sequenced plan that extracts services behind a gateway while the existing system keeps serving traffic.
Multi-tenant database partitioning
Isolation models chosen per tenant tier, from shared schemas with row-level security to dedicated databases.
Integrated LLMOps
Monitoring of latency, cost per token, and fallback models, wired in from the first release.
FAQ
Modernization questions from CTOs.
Can you modernize a monolith without downtime?
Yes. A gateway sits in front of the existing system, and services are extracted one at a time while the monolith keeps serving traffic. Each cutover can be rolled back.
How do you design multi-tenant SaaS databases?
We choose the isolation model per tenant tier: a shared schema with row-level security, a schema per tenant, or a database per tenant. The choice balances isolation, compliance, and cost.
How do you keep AI feature costs under control?
LLMOps monitoring tracks cost per token and latency for every AI call. Semantic caching avoids paying twice for similar requests, and fallback models keep features running when a primary model is slow or unavailable.
Plan your SaaS build or modernization with a Principal Architect.
Bring your current architecture. We'll outline the target state, the migration sequence, and where AI services fit.