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.
Data Platforms & Indexing
Pipelines, warehouses and indexing layers that make data usable by people and AI.
AI is only as good as the data it can reach. We design the data layer underneath: clean models, reliable pipelines, a warehouse or lakehouse when the business needs one, and indexing so that search, analytics and AI retrieval all read from the same trusted source.
We are also building our own data indexing layer as an internal product, which keeps our client work grounded in what actually holds up at scale.
What we deliver
- Data modelling and governance
- ETL / ELT pipelines and change-data-capture
- Warehouses and lakehouses (PostgreSQL, BigQuery, ClickHouse)
- Search and vector indexing for AI retrieval
- Analytics, attribution and reporting layers
- Data quality monitoring
Questions we get asked
Do we need to clean our data before starting an AI project?
Not all of it. We pilot on the data you have, measure where quality actually limits results, and fix those sources first. Trying to clean everything before starting is how AI projects stall for a year.
What is a data indexing layer?
A system that takes data from many sources, structures it, and makes it queryable fast: by people through search and analytics, and by AI through retrieval. It is the difference between an AI that answers from your real records and one that guesses.
Contact
Need data platforms & indexing done properly?
Tell us what you're building and where it stands. Every enquiry gets a written reply from an engineer, not a sales sequence.