GCP Data Pipeline — Cloud Run Cost Cut
Legacy Python wrapped in Flask, Docker, Cloud Run, and Cloud Scheduler — about 80% cheaper on the major pipeline.
- About 80% cost reduction on the major pipeline
- Flask + Docker on Cloud Run with Cloud Scheduler
Production systems, not demos
TypeScript, NestJS, and AWS systems your team can run daily —
platforms first, then AI layers, agentic workflows, and cloud ops when the work needs it.
Engineering across the stack
that powers production systems.
Services
Plan the right build. Ship it. Make it smarter.
Explore servicesCustom platforms, portals, and backends built for your operation.
Talk platformsA clear scope, architecture, and delivery plan before you invest.
Start discoveryAI workflows and integrations for the systems you already use.
Talk AI layersAlso available
Productized entry points — presence, inbox, bookings, insight — with a clear quote path.
Solutions
Start with the system operators run daily. Add intelligence, agentic workflows, automation, or cloud ops when the bottleneck asks for it.
Explore the mapSelected work
Production platforms and AI layers we have put into operators’ hands.
All projectsLegacy Python wrapped in Flask, Docker, Cloud Run, and Cloud Scheduler — about 80% cheaper on the major pipeline.
Serverless NestJS portals for US medical staffing with multi-tenant access and Bullhorn-style ATS handoffs.
A guarded chatbot and workflow automation platform for legal onboarding, escalation, and document generation.
From complexity to clarity
A closer look at the systems we build. Choose a workflow to explore how the pieces fit together.
A fashion marketplace needed a commerce-scale backend for listings, discovery, and feeds without a fragile monolith. Event-driven AWS APIs cover search and indexing, listing workflows, and serverless services so the product can grow.
Explore this solutionHow we work
A clear path from the problem you have
to the software you need.
We map the work that is leaking time, revenue, or attention — then choose whether the first win is a platform, an AI layer, cloud ops, or a focused package.
We implement the highest-leverage platform or system quickly, with integrations and guardrails baked in.
Once value is proven, we deepen the platform — more modules, then AI layers, agents, and integrations that compound.
In good company
Clear communication. Shared ownership.
Here’s how clients describe the work on Upwork.
“Expert in AWS, TypeScript and Serverless”
Highly recommended AWS / TypeScript / serverless delivery
AWS + TypeScript + ServerlessInside the projectPlatforms first. We ship the portals, backends, marketplaces, and staffing systems operators run daily, then engineer AI layers on that foundation when the workflow needs it.
Yes — when the work needs it. We design tool-using agents and LangGraph-style orchestration with human approval where risk is high, and we deploy them on cloud behind NestJS services and AWS paths you own — not a chat demo.
Yes. A short conversation maps where work is stalling, then we recommend discovery, production engineering, an AI layer, or a launch package with clear scope before build.
You do. We deliver in your repos with documentation, deployment paths, and a clean handoff so your team can run and extend the system after launch.
Yes. We build serverless staffing portals with NestJS APIs, multi-tenant access, and ATS integration patterns such as Bullhorn-style handoffs for US medical staffing operations.
Tell us the bottleneck and we will propose a scoped first milestone. Reach out via contact and we will match discovery, production engineering, or an AI layer to the work.
Behind the work
You’ve seen what we build. Now meet Hamza, our co-founder, and get a feel for the people behind the platforms.
The people behind the work
You work directly with the people building your product. We stay close to the details, ask the hard questions and care about what happens after launch.
Meet ScaleMorphStart a project
Tell us where work is stalling — a portal, backend, marketplace, staffing system, an AI layer, or cloud ops.
In 30 minutes we’ll map the highest-leverage build first.