Running AI in production is nothing like running it in a notebook. Models that perform well in demos fail unpredictably under real workloads, and the economics of production AI are fundamentally different from a proof-of-concept — inference costs can dwarf development costs within months. Orion Runtime is the engine room that makes production AI sustainable: selecting the right model for every task, cutting inference costs up to 50–80% through automatic routing, blocking security threats in real time, and monitoring everything continuously.
Every AI task that passes through Orion Runtime is evaluated against accuracy, speed, and cost requirements, then routed to the optimal model automatically. When a better or cheaper model appears — and they appear frequently — Orion Runtime switches without any code changes. Your agents improve as the market improves, capturing savings and capability gains without a re-engineering cycle.
Intelligent Model Routing
The economics of AI inference are changing faster than any engineering team can manually track. New models appear weekly. Pricing changes monthly. The best model for a task in January may be a fraction of the cost in June, or may be outperformed by a new release. Orion Runtime monitors this landscape continuously and routes each inference to the cheapest model that meets your defined quality threshold.
For most enterprise workloads, this means using fast, inexpensive models for routine tasks and reserving heavyweight models only for queries where the additional accuracy justifies the cost. The routing policy is configurable per workflow — compliance-sensitive tasks can be locked to higher-quality models while research and summarization tasks run on cost-optimized paths. The result is up to 50–80% lower inference costs without any degradation in the outputs your users see.
Security and Monitoring
Production AI systems face attack surfaces that do not exist in traditional software. Prompt injection attacks attempt to redirect agent behavior. Adversarial inputs try to extract sensitive data or bypass safety guardrails. PII leaks can expose customer information to model providers or logs. Orion Runtime blocks all of these in real time, before any harmful request reaches a model or any sensitive output reaches an unauthorized destination.
Performance monitoring runs continuously across every agent in your fleet — tracking accuracy, latency, cost, and throughput with dashboards and automated alerts. When an agent’s output quality drifts or a latency spike appears, the alert fires before users notice a problem. The full audit trail records every decision and action, supporting compliance requirements and enabling root-cause analysis when issues occur.
Zero-Downtime Operations
Enterprise AI systems cannot afford downtime for model upgrades. When a new model launches — or when your team decides to switch providers — Orion Runtime handles the transition without service interruption. New models are evaluated in parallel, validated against your quality benchmarks, and promoted to production only when they meet your criteria. Your users see no change. Your downstream integrations see no change.
- Intelligent model selection — routes each task to the cheapest model meeting your quality threshold; accesses thousands of open source and commercial models
- Security and PII protection — blocks prompt injection attacks, adversarial inputs, and data exfiltration in real time; PII never reaches external model providers
- Performance monitoring — continuous tracking of accuracy, latency, cost, and throughput with dashboards and pre-incident alerts
- Cost arbitrage — up to 50–80% lower inference costs via automatic routing, updated continuously as model pricing and quality changes
- Zero-downtime model upgrades — evaluate and switch to a new model in hours, not months; transitions are transparent to users and downstream systems
- Configurable quality thresholds — set per-workflow accuracy and latency floors; Orion Runtime optimizes cost within those bounds