API bills scale faster than revenue
Every active user destroys margin when every workflow calls the most expensive model.
ozDNA helps vertical AI startups ship production-grade agents with lower inference costs, more reliable RAG, and token economics that protect margins.
Most vertical AI startups are not failing because they cannot build demos. They are failing because API bills, RAG drift, and token pricing outpace revenue.
Every active user destroys margin when every workflow calls the most expensive model.
Retrieval drift, stale ingestion, and weak evals show up only after launch.
Investors see a thin wrapper — not a vertical AI product with defensible workflow logic.
Credit systems that do not map to real infrastructure consumption erode gross margin.
Not another LLM gateway — a vertical AI infrastructure layer for RAG governance, cost optimization, and token economics.
Founders · CEOs · CTOs
AI infra should not scale faster than revenue. Route tasks to the cheapest capable model and track cost per workflow, user, and account.
Learn more →ML Engineers · AI Engineers
RAG failure is an operations problem. Connect retrieval quality, freshness, evals, and cost controls into one operating layer.
Learn more →Founders · Investors
Defensibility comes from workflow depth, not chatbot UI. Build agents that understand the operating logic of a specific business.
Learn more →Investors · CFOs
If gross margin depends on today's API pricing staying flat, your AI product has hidden platform risk.
Learn more →Product · Monetization
Map user-facing credits to real token burn, workflow cost, and margin design — not guesses wrapped in pricing pages.
Learn more →The strongest proof is production — not a slide deck. Our academic and RegTech products run on ozDNA GPT before we sell the infrastructure layer externally.
AI detection, humanizer, and academic workflows for students under deadline pressure. Live production workload on ozDNA infrastructure — token limits and usage economics in the wild.
Regulatory monitoring for 5549, BDDK, MASAK, and KVKK. RAG-heavy compliance layer for fintech, EMI/PSP, and law firms — domain depth a generic gateway cannot replicate.
OzDNA Academic (global academic quality) launches Phase 2. tezmakale.com is the live reference today.
Control token burn before it becomes structural.
Join the early access list for founders and CTOs who need LLM cost optimization and production RAG governance before scale makes it painful.
Private beta — invite only. Vertical AI founders, ML engineers, and infrastructure-conscious CTOs get priority.