B2B Infrastructure · Private Beta

LLM Cost Optimization
for Vertical AI Teams

ozDNA helps vertical AI startups ship production-grade agents with lower inference costs, more reliable RAG, and token economics that protect margins.

GET /v1/metrics/cost
// workflow · last 24h
{
  "workflow_id": "rag-compliance-v2",
  "total_tokens": 842_100,
  "cost_usd": 12.47,
  "routed_to": "gpt-4o-mini",
  "premium_calls_saved": 38
}
Cost per workflow $0.0031 · LLM routing active
Beta: Infrastructure layer in private beta. Production metrics from TezMakale & Comply workloads — public benchmarks Q3 2026.
Production economics break
before product-market fit does.

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.

API bills scale faster than revenue

Every active user destroys margin when every workflow calls the most expensive model.

RAG works in demos, fails in production

Retrieval drift, stale ingestion, and weak evals show up only after launch.

Generic agents lack domain depth

Investors see a thin wrapper — not a vertical AI product with defensible workflow logic.

Token pricing confuses users

Credit systems that do not map to real infrastructure consumption erode gross margin.

The platform
Five pillars. One
infrastructure layer.

Not another LLM gateway — a vertical AI infrastructure layer for RAG governance, cost optimization, and token economics.

01

Cost Control

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 →
02

Production RAG Reliability

ML Engineers · AI Engineers

RAG failure is an operations problem. Connect retrieval quality, freshness, evals, and cost controls into one operating layer.

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03

Vertical AI Differentiation

Founders · Investors

Defensibility comes from workflow depth, not chatbot UI. Build agents that understand the operating logic of a specific business.

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04

Post-Subsidy Margin Resilience

Investors · CFOs

If gross margin depends on today's API pricing staying flat, your AI product has hidden platform risk.

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Built on ozDNA
We ship our own vertical AI
products on this stack.

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.

Live · TR
TezMakale
Academic AI · Turkey

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.

Phase 2
OzDNA Comply
RegTech · TR / EU

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.

Get early access

Private beta — invite only. Vertical AI founders, ML engineers, and infrastructure-conscious CTOs get priority.

Thanks — you're on the list. We'll reach out when early access opens.
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