Deep Loom is an AI agents and AI infrastructure agency founded by Daniel Matias, based in Arnhem, Netherlands. We build AI agents and custom AI systems that handle outbound, inbound, content, and operations - so founders and businesses can scale without hiring. We have delivered 50+ systems to clients worldwide.

What are AI agents and how do businesses use them?

AI agents are autonomous software systems that can research, decide, and act on your behalf - without constant human input. Businesses use them to run outbound prospecting, qualify inbound leads, generate content, automate follow-ups, and execute repetitive workflows at scale. Deep Loom builds custom AI agents tailored to each client's specific specific operational and growth needs.

How is Deep Loom different from using Zapier or Make?

Zapier and Make connect apps with fixed rules. Deep Loom builds AI agents that can reason, adapt, and handle complexity - they don't just move data, they make decisions. Our agents can research a prospect, write a personalised message, choose the right moment to send it, and follow up based on the response. That's not possible with rule-based automation tools alone.

What is AI infrastructure and what does Deep Loom build?

Go-to-market AI refers to AI systems that power the channels businesses use to reach and convert customers - outbound cold email, LinkedIn outreach, inbound content, and lead qualification. Deep Loom builds end-to-end AI infrastructure: AI agents that find leads, craft personalised outreach, publish content, and keep your pipeline moving 24/7.

What is RAG and why does it matter for businesses?

RAG (Retrieval-Augmented Generation) is an AI architecture where a language model retrieves relevant information from your own data before generating a response. This allows AI to answer questions accurately using your specific documents, databases, and knowledge bases without hallucinating. It is the foundation of reliable AI-powered search, internal copilots, and customer support systems. Deep Loom builds production RAG pipelines using Pinecone and Supabase.

How fast can Deep Loom build and deploy an AI system?

Most systems are scoped, built, and deployed within 2–3 weeks. Week 1 is discovery and mapping. Weeks 2–3 are build and iteration. After handoff, we provide ongoing support. For simpler automations, delivery can be even faster. We move fast because we've built 50+ systems and know exactly what works.

What is custom AI development and do I need it?

Custom AI development means building AI-powered software tailored to your specific use case - not an off-the-shelf tool. You need it when existing tools can't do what you need: custom LLM integrations, proprietary data pipelines, AI-powered internal tools, RAG systems, or vector search engines. Deep Loom handles the full build from architecture to deployment.

What industries does Deep Loom work with?

Deep Loom works with founders and businesses across all industries - digital commerce, SaaS, coaching and consulting, construction technology, fintech, and agencies. The common thread is the goal of scaling with AI rather than headcount. If you have repetitive workflows, outbound needs, or a product that could benefit from AI, Deep Loom can help.

What is the typical ROI of an AI agent system?

Clients typically see a 400% average efficiency gain. Examples: one client booked qualified sales meetings on autopilot and recovered their investment in month one; another reduced a full team's content workload to a single AI pipeline; a third achieved a 95% cost reduction in data operations. All Deep Loom systems are designed from day one to deliver measurable business impact.

How much does it cost to build an AI agent system?

Deep Loom prices per project, not per task or seat. A focused AI agent or automation system starts at a few thousand dollars. A full custom AI application or enterprise platform is scoped based on requirements. Book a free 30-minute strategy call at https://deeploom.dev/book to get a clear scope and estimate for your specific use case.

Does Deep Loom guarantee results?

Yes. Deep Loom stands behind its work. We guarantee the system will function as agreed at handoff. If something we built doesn't work as scoped, we fix it at no extra cost. We don't guarantee specific revenue outcomes - those depend on your market, offer, and execution - but we guarantee the AI systems we deliver will do what they were built to do.

Who is Daniel Matias from Deep Loom?

Daniel Matias is the founder and lead AI systems architect at Deep Loom. Based in Arnhem, Netherlands, Daniel has 5+ years of experience building AI agents, automation systems, and custom AI applications for founders and businesses worldwide. He specialises in LLM integration, agentic workflows, AI infrastructure, and custom AI development. Contact: daniel@deeploom.dev.

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AI Infrastructure · GTM Systems

Scale your business with AI growth systems.

Custom AI infrastructure for B2B founders: autonomous agents, intelligent pipelines, and production-ready systems built around how your business operates.

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