Questions, answered plainly.

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.

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.

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.

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.

Most agencies build features. Automaark designs systems: the data model, the security boundaries, the integration layer and the cost curve come before the code. We use AI heavily in our own work and in what we ship, but what we sell is architecture, which is the part AI tools cannot generate for you.

Automaark is headquartered in New York. The firm has African roots and a distributed engineering team across North America, Europe, Africa and Asia. Most of our client work is in the United States, Canada and Australia, and we work with clients worldwide.

Automaark was founded by Olamide Dada, who leads the company as Founder and CEO.

Founders building a SaaS product or marketplace, operators replacing manual processes with automation, and established companies that need cloud, data, security or AI infrastructure running in production. We have delivered systems in hospitality and travel, real estate and PropTech, financial services and compliance, healthcare operations, retail, legal technology and marketing.

TypeScript, Next.js, React and Node.js on the product side; Python and Go for services and AI; PostgreSQL, Supabase and modern warehouses for data; AWS, Google Cloud, Railway and Cloudflare for infrastructure; OpenAI, Anthropic and open-weight models for AI; n8n and GoHighLevel for automation and growth. We choose tools per project rather than by habit.

It depends on scope, and we will not quote before a scoping call. As a guide from published industry ranges in 2026: a well-scoped AI integration typically starts in the low tens of thousands of dollars; a production SaaS platform or multi-system agentic build runs from the high tens into the hundreds of thousands; ongoing operation is usually 15 to 25 percent of build cost per year. Every Automaark engagement starts with a written scope and fixed milestones, so the number is known before work begins.

As long as the scope needs, and no longer. We do not quote a duration before scoping, because a number given before the architecture is understood is a guess. What we do commit to is the structure: scope and architecture first, then delivery in milestones with working software at each one, so you can see progress and change direction without waiting for a big-bang launch.

Send a short note through the contact form describing what you are building and where it stands. We follow up with a scoping call, then turn the outcome into a written scope with milestones and acceptance criteria before any build work begins.

You do. Everything is built in your repositories and cloud accounts, with documentation and runbooks handed over, so you are never dependent on Automaark to run what we built.

Yes. Every system ships with monitoring and runbooks, and we offer ongoing operation, improvement and on-call arrangements. We also train your team to run it themselves if that is the goal.

Security is designed into the architecture: identity and access control, secrets management, network boundaries, encrypted data and audit logs. For AI, data stays in your environment and we use no-training API terms or self-hosted models when required. We support SOC 2, GDPR and HIPAA readiness.

Yes. We integrate with existing codebases, clouds, CRMs, ERPs and data warehouses, and we work alongside in-house teams. We start with an audit so you get a written picture of what exists before anything changes.

Automaark is headquartered in New York with senior engineers across North America, Europe, Africa and Asia. Every engagement has a named lead in your time zone, one architectural standard, and the same ownership, documentation and accountability wherever the engineer sits. The distributed model is also why we can fund the architecture and operations work that a single-city team usually prices out.