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Margin-aware AI SaaS
Map user credits to real inference cost. Route cheap models for bulk tasks, premium models for quality-critical steps.
Comparison
LiteLLM alternative
for vertical AI teams
LiteLLM is a strong open-source proxy for multi-provider routing. ozDNA is built for teams shipping vertical AI products — where RAG reliability, token economics, and production margin matter as much as model failover.
Feature comparison
Gateway vs vertical AI infrastructure
Fair comparison — choose LiteLLM when routing and proxy fit is enough. Choose ozDNA when RAG reliability, token economics, and live vertical proof matter. Live proof: TezMakale.
| Capability | LiteLLM | ozDNA |
|---|---|---|
| Multi-provider LLM routing | Yes | Yes |
| Fallback / retry across models | Yes | Yes |
| Cost per request / workflow | Basic logging | First-class cost engine |
| Usage economics (credits → real LLM spend) | — | Yes |
| Production RAG (chunk, ingest, hybrid retrieval) | — | RAG operating layer |
| Vertical modes (academic, legal, financial) | — | Prompt + corpus per mode |
| Live production vertical AI proof | Varies | TezMakale (live) |
| Deployment model | Self-host OSS | Managed PaaS (private beta) |
When ozDNA wins
You need more than
a routing proxy.
Production proof
Not a fork — a live product on ozDNA
TezMakale handles real student traffic in Turkey: AI detection, detailed reports, token limits, peak-season spikes.
Evaluating LiteLLM?
Join early access — mention LiteLLM on the waitlist. We will map your workflows onto ozDNA.
Get Early AccessLiteLLM is a separate project; this page compares product fit, not affiliation.