Intelligent software, engineered for the real world.
4May Global is a Canadian technology firm. We build production software and AI agents, align operations to the platforms you already own, and bring discipline to cloud spend.
Whether we are writing the code, reshaping a process or reading a cloud bill, the work is scoped, measured and handed over properly.
01
Software Product Engineering
We design and build production-grade platforms, APIs and internal tools - with the architecture, testing and observability that keep them maintainable long after launch.
Technical discovery & solution architecture
Web platforms, APIs & integrations
Legacy modernization
CI/CD, automated testing & observability
02
Operations & Process Alignment
Teams often bend new software to fit old habits, then pay for it in workarounds. We map how work actually flows and redesign your processes around the platforms you have already invested in, so you realize the value you paid for.
Current-state process mapping
Platform capability & fit-gap analysis
Workflow redesign & automation
Adoption & change enablement
03
Agentic AI - Voice & Text
Advisory and engineering for AI agents that work over chat and over the phone: from use-case selection and conversation design to integration, evaluation and production monitoring.
We go through your cloud bill service by service, rightsize or retire what is over-provisioned, and put tagging, budgets and reporting in place so the savings hold.
Understand the business goal, the current systems and where the real constraints are.
02
Design
Agree on a scoped plan with clear success measures before any build begins.
03
Deliver
Ship in short, reviewable increments, with your team involved throughout.
04
Operate
Hand over documentation, monitoring and the know-how to run it independently.
Field notes
The facts behind our practices.
A few well-documented findings and frameworks that shape how we scope and deliver work.
27%
of cloud spend is wasted
That is what organizations themselves estimate. Idle and over-provisioned resources are usually the first place we look.
Source: Flexera, 2024 State of the Cloud Report
~200 ms
typical gap between turns in human conversation
People judge a voice agent against that rhythm, so we design and measure for response latency from day one.
Source: Stivers et al., PNAS, 2009
4
key metrics for software delivery
Deployment frequency, lead time for changes, change failure rate and time to restore. Research shows speed and stability improve together.
Source: DORA, Accelerate State of DevOps research
3
phases of a FinOps practice
Inform, Optimize, Operate. Cost visibility comes first; savings that last depend on ongoing ownership, not a one-off cleanup.
Source: FinOps Foundation, FinOps Framework
Open source
Tools we have built and share.
Libraries and developer tools from our engineering team, published openly for anyone to use.
fastapi-metrics
Python
Zero-config metrics and observability for FastAPI apps. Request latency, business metrics, health checks, LLM cost tracking and an MCP server, with no Prometheus or Grafana required.
A production-ready library for large file uploads to AWS S3 from FastAPI, using multipart uploads with presigned URLs, progress tracking and cleanup of incomplete uploads.
MCP tool connectors that let any AI agent work with services like Gmail and Google Calendar, running entirely on your own hardware with tokens kept local.
A browser-based setup wizard for PicoClaw agents: LLM provider setup, Telegram, personality configuration, boot services and OAuth tool connections in six guided steps.