Problems we were brought in to solve

Problem

A regional payments processor was losing transactions to timeouts during peak settlement windows. Their monolithic API, hosted on a single oversubscribed cluster, couldn't absorb traffic spikes without cascading latency across every downstream service.

Solution

We re-architected the settlement pipeline around event-driven microservices on AWS, introduced read replicas and Redis-backed caching for hot paths, and moved batch reconciliation jobs off the request path entirely.

Problem

A multi-clinic healthcare provider was running patient records on a decade-old PHP monolith with no audit trail, making compliance reviews slow and risky, and onboarding new clinics took months of manual configuration.

Solution

We extracted the records system into a modern Laravel application with full audit logging, role-based access control, and a self-service clinic onboarding flow, migrating live patient data with zero downtime.

Problem

A B2B SaaS company had a promising internal prototype for an AI support agent, but it hallucinated on edge cases and had no observability — nobody trusted it enough to put in front of real customers.

Solution

We rebuilt the agent on a retrieval-augmented pipeline with tool-use guardrails, added structured evaluation and tracing for every response, and shipped a human-in-the-loop escalation path for low-confidence answers.

Problem

A logistics startup's route-optimization platform ran on a single aging VM. Deploys required a maintenance window, and a single hardware fault would have taken the whole platform offline.

Solution

We containerized the platform, stood up a Kubernetes cluster across multiple availability zones, and built a CI/CD pipeline for rolling, zero-downtime deployments with automated rollback.