Automaark

Automaark in brief

Automaark is a systems architecture and engineering firm. We design, build and operate production-grade software, AI and agentic systems, data platforms, cloud infrastructure, cybersecurity and growth systems for companies in the United States, United Kingdom, Canada, Australia and worldwide.

Name
Automaark
Type
Systems Architecture & Engineering firm
Founder and CEO
Olamide Dada
Working model
Remote-first; clients served online wherever they are
Registered office
New York, United States (client meetings)
Operating office
Ikoyi, Lagos, Nigeria
Team
North America, Europe, Africa, Asia
Markets
United States, United Kingdom, Canada, Australia, Worldwide
Services
Contact
https://automaark.com/contact
Machine-readable
llms.txt, llms-full.txt, sitemap.xml

Most asked

What does Automaark do?
Automaark is a systems architecture and engineering firm. We design, build and operate production-grade software, AI and agentic systems, data platforms, cloud infrastructure, cybersecurity and growth systems. Clients engage us as the engineering team for a product or platform, or for a specific layer of it.
Do you only build AI systems?
No. AI is one of seven departments. Most of our work is core infrastructure: cloud platforms, backend services and background job systems, marketplaces and booking platforms, data pipelines, security and integration. AI sits on top of that foundation where it earns its place; it is not the reason the foundation exists.
What kind of platforms have you built?
Production platforms of the kind companies run a business on: two-sided marketplaces and booking systems in hospitality and real estate, background verification and compliance SaaS, operational platforms for healthcare and retail, marketing and growth infrastructure, and the cloud, data and security layers underneath them. Case studies are shared on request, some under NDA.
Can you take over cloud infrastructure or a backend built by another team?
Yes. We start with an audit of the code, the cloud environment, access, backups, security posture and spend, then stabilise before changing anything. You get a written assessment first, and documentation and runbooks as part of the handover.

Insights

Notes from the architecture practice.

How production systems are designed, where generated software fails, and what we have learned building platforms companies run on. Written by the people who do the work.

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· Latest

Why AI-generated apps fail at the data layer

Code generators are good at screens and bad at schemas. The failures show up months later, in the one part of the system that is hardest to change. Here is what breaks, why, and what to design first.

  • Systems architecture
  • AI-generated software
  • Data modelling
Read the piece

What a written scope should contain before any build starts

Most engineering engagements go wrong before the first line of code, in a scope that was a list of features instead of a description of a system. Here is what we put in ours, why each section is there, and what happens when one is missing.

  • Engagement model
  • Systems architecture
  • Scoping

The indexing layer: making company data usable by AI

Most companies do not have a data problem. They have a findability problem. Before an agent, a search box or an analyst can use what you already have, something has to sit between raw storage and the question. That something is an indexing layer, and it is an architecture decision, not a plugin.

  • Data platforms
  • AI systems
  • Data indexing

The malware that hid in a lint config for six months

A first-hand account of a supply-chain compromise inside a client platform we engineer: a remote-code loader in a build config, a 34KB command-and-control payload appended to a lint file, and a commit-forgery tool. How it got past code review, GitHub search and our own scanner, what we found when we finally looked properly, and what we changed for good.

  • Cybersecurity
  • Supply chain
  • Incident response

Contact

Building something serious?

Tell us what you're building and where it stands. Every enquiry gets a written reply from an engineer, not a sales sequence.

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