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, Canada, Australia and worldwide.
- Name
- Automaark
- Type
- Systems Architecture & Engineering firm
- Founder and CEO
- Olamide Dada
- Headquarters
- New York, United States
- Team
- North America, Europe, Africa, Asia
- Markets
- United States, Canada, Australia, Worldwide
- Services
- Software & Platform Engineering: SaaS products, internal platforms and APIs engineered to run for years.
- AI & Agentic Systems: Agents, retrieval and inference pipelines that do real work, with guardrails.
- Automation & Orchestration: Workflows that remove manual operations and keep running unattended.
- Data Platforms & Indexing: Pipelines, warehouses and indexing layers that make data usable by people and AI.
- Cloud & Infrastructure: Cloud architecture, DevOps and reliability engineering with cost discipline.
- Cybersecurity: Security architecture, hardening and incident response for modern systems.
- Growth & Marketing Systems: Acquisition, lifecycle and attribution infrastructure that ties revenue to effort.
- 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.
Services
Seven departments. One architecture.
There is little in the modern stack we have not shipped. What makes it one firm rather than seven vendors is that every department designs against the same data model, the same security boundaries and the same cost curve.
Software & Platform Engineering
Full-stack products and internal platforms built API-first, with the data model, auth, multi-tenancy and deployment designed before the first sprint.
- TypeScript
- Next.js
- React
- Node.js
- Python
AI & Agentic Systems
Production AI: agents that take actions inside your business, retrieval over your own data, evaluation harnesses and the guardrails that keep it safe and affordable.
- OpenAI
- Anthropic
- Open-weight models
- LangGraph
- pgvector
Automation & Orchestration
End-to-end workflow systems across your tools and teams: event-driven, observable and auditable, so the business runs without someone watching it.
- n8n
- Temporal
- BullMQ
- Node.js
- Python
Data Platforms & Indexing
Data models, pipelines, warehouses and search or vector indexes designed so both your team and your AI systems can trust and use the data.
- PostgreSQL
- BigQuery
- ClickHouse
- dbt
- Dagster
Cloud & Infrastructure
Cloud topology, CI/CD, environments, observability and cost control set up so engineering moves fast without breaking what works.
- AWS
- Google Cloud
- Azure
- Railway
- Vercel
Cybersecurity
Security designed into the architecture: identity, secrets, network boundaries, secure development and the response plan for when something goes wrong.
- Cloudflare
- AWS IAM
- GCP IAM
- Vault
- OWASP tooling
Growth & Marketing Systems
CRM, outbound, funnels, lifecycle automation and the attribution layer that shows which effort produced which revenue.
- GoHighLevel
- HubSpot
- Smartlead
- Segment
- Google Analytics
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.