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OpenAI, Anthropic Claude, Google Gemini, Meta Llama, Mistral and private / local LLMs. Route intelligently per workflow.
OpenAI, Anthropic Claude, Google Gemini, Meta Llama, Mistral and private / local LLMs. Route intelligently per workflow.
Each pillar can be enabled, configured and audited independently.
Curated and policy-controlled.
Task, cost, latency, accuracy.
Provider failover automatic.
Empirical scoring per workflow.
BYO weights in your VPC.
Per-tenant budgets and rate limits.
OpenAI, Claude, Gemini, Llama, Mistral, your private models — routed automatically, fallback-protected, governed centrally.
A single API across providers — switch models per task, per environment, per region without rewriting code.
Route based on task class, latency budget, sensitivity, region or cost. Different models for different jobs.
If the primary fails or hits a limit, requests cascade to fallbacks transparently — no dropped workflows.
Sensitive payloads automatically route to private or in-region models. Public models never see classified data.
Every call is tagged with provider, model, tokens, dollars and outcome quality — feeding routing decisions.
Real numbers from production deployments — across banking, healthcare, telco, manufacturing and the public sector.
Don't bet the enterprise on one provider's roadmap, pricing or outage. Switch the underlying model without re-engineering the workflow.
Cheap models for high-volume routine tasks, top-tier models for hard decisions. The platform makes the call so you don't have to.
Six concrete patterns from regulated enterprises across financial services, healthcare, telecom, public sector, energy and manufacturing.
KYC and trade workflows route to in-VPC models; analytics workflows can use top-tier managed.
Underwriting goes to the highest-quality model; FAQs go to a cheap, fast one.
Patient-data workflows route to HIPAA-eligible providers and private endpoints.
Customer-facing flows pick the lowest-latency provider per region in real time.
Workflows pinned to in-region or government-cloud-hosted models.
Plant-floor agents run local models for sub-second decisions, sync to cloud for analytics.
Models change, prices change, regulations change. A multi-provider architecture future-proofs the investment.
Yes. You can also A/B test, version-pin, and define fallback chains.
Yes — hosted in your VPC with FIPS-compliant inference options.
Most customers adopt new capabilities in 2-4 weeks through starter packs and onboarding workshops.
No. The capability runs on your existing xyner deployment — cloud, hybrid, on-prem or sovereign.
Yes — our customer success team and partners deliver guided migrations and pilots.
See xyner in your environment with a guided executive demo.