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XYNORA
Xynora AI

Multi-model intelligence, private by default.

Connect the AI models your organization already trusts — GPT, Claude, Gemini, and open-weight families — behind a single interface with routing, evaluation, and privacy controls built in from day one.

Why Xynora AI

Model choice without the integration tax.

Every provider has a different API, a different pricing model, and a different privacy policy. Xynora AI normalizes all of it into one consistent, governed interface.

One interface, every model

Switch between frontier APIs and open-weight models without changing how your team works or rewriting a single prompt.

Automatic task routing

Xynora profiles each request and routes it to the model best suited for the task — or follow rules your team defines explicitly.

Open-weight support

Run Llama, Mistral, Qwen, and other open-weight models alongside commercial APIs for cost control or on-premises requirements.

Private by architecture

Prompts, documents, and outputs are never used to train shared models — a contractual and architectural guarantee, not a setting to remember to enable.

Model evaluation built in

Compare accuracy, latency, and cost across models on your own prompts before committing your workflows to one provider.

Bring your own keys

Use your organization's existing provider contracts and API keys, or let Xynora manage access under a single agreement.

How it works

Connect once, route intelligently, evaluate continuously.

Xynora AI sits between your team and the model providers, so a change in the underlying model landscape never requires reworking your workflows.

Connect your providers

Add API keys for the providers you already use, or enable Xynora-managed access. Add open-weight models for on-premises or cost-sensitive workloads.

Define routing policy

Let Xynora route automatically based on task type, or set explicit rules — reasoning-heavy work to one model, high-volume extraction to another.

Evaluate and adjust

Track accuracy, latency, and cost per model on real usage. Swap providers as pricing or quality shifts, without touching downstream workflows.

Use cases

Built for real workloads, not demos.

Teams use Xynora AI wherever a single vendor's model doesn't fit every task equally well.

Document drafting & review

Route long-form drafting to the model your team trusts most for tone, and structured review to a model tuned for precision.

Extraction & classification

Use cost-efficient or open-weight models for high-volume extraction tasks where a frontier model is unnecessary overhead.

Multilingual support

Route requests in specific languages to the model with the strongest performance in that language.

Regulated & sensitive workloads

Keep sensitive workloads on open-weight models running inside your own infrastructure, without losing the shared interface.

Bring your models. Keep your control.

See Xynora AI running against your own prompts and providers.