Devfamz: Enterprise-grade Cloud, AI, and Cybersecurity Solutions.
> Establishing secure connection...
> Handshake verified.
> Loading neural weights [99%]...
> Deploying smart contracts...
> System Ready.
The people who scope your project write the code. Nothing is handed to a junior team after signing.
Yours from the first commit, in your account. We work in it — we do not hand it over at the end.
It comes out of discovery and belongs to you whether or not you continue with us.
On a real environment, not a status update and not a screenshot.
These are commitments about how we work, not certifications. The full process is written up here.
That list is 16 items long rather than sixty because we only list the work we have senior engineers for. Most projects combine several of these — a mobile product usually needs a backend, and an AI feature usually needs somewhere for people to use it.
Cross-platform and fully native mobile, including the awkward parts.
Partnering with DevFamz means gaining a technical advantage. We treat your project as our own.
We implement banking-level encryption and security best practices by default.
Optimized for core web vitals. We target sub-500ms load times.
Our project managers ensure we hit every milestone. No excuses.
Work directly with senior engineers. No junior trainees.
Two categories, kept separate on purpose. Below are products DevFamz builds and runs itself — you can open them and use them right now. Underneath, the contract engineering we have done inside other teams' platforms, described by the parts we personally built.
AI that finds every subscription hiding in your inbox.
Subscription Manager connects to Gmail with read-only access and uses AI to read billing emails, extract every recurring charge with its price and renewal date, and surface what you can cancel — a first scan typically finishes in about a minute.
Build Your Perfect CV.
A professional CV and resume builder platform designed with an elegant, enterprise-grade UI to help users create standout professional profiles.
4 engagements inside other teams' platforms. Most contractor agreements forbid naming the client, so these stay anonymised — we describe the components we personally built, not the product as a whole.
AI revenue-intelligence platform (US)
2024 – present
Built a meeting-lead SaaS module that captures and records leads for multiple users
Multi-tenant AI chatbot / RAG platform (client project)
2023 – 2024
Built a multi-tenant AI chatbot platform on AWS (EC2 hosting, RDS, Redis for caching and sessions)
AI medical front-desk assistant
2023
Built an AI assistant that handles customer calls and messages for medical queries via Twilio
Startup-pitch analysis agent
2022 – 2023
Built an agent that analyses startup pitches and returns market-fit feedback
A scoping call and a paid discovery come before any build commitment, and both are designed to be survivable if the answer turns out to be no — you keep the architecture document either way. After that, a working demo every week on a real environment.
A technical scoping call, then a paid discovery that ends in writing.
Interface and data model designed together, because they constrain each other.
Weekly increments, each ending in something you can actually use.
Automated where it pays, manual where judgement is required.
Deployed, monitored, and handed over so your team can take it on.
Published standards the software is engineered against and tested for — not certifications we hold, and we will not imply otherwise. Every version below was checked against its primary source.
Security
OWASP Top 10:2025 and ASVS 5.0
Accessibility
WCAG 2.2 AA, tested by hand
Performance
Core Web Vitals on real users
Data protection
GDPR, UK, Gulf and US state law
Long-form engineering writing, published before you have spent anything. It is the cheapest way to work out whether you want these people on your project.
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