Multi-source compute and tokens, dynamically scheduled
ProInsight aggregates multiple upstream compute and model sources into one unified compute / token pool, allocating resources dynamically by price, latency and model so every call is faster and more economical.
Core capabilities
Compute / token pool
Aggregate multi-upstream resources into one schedulable pool.
Dynamic routing
Route to the best source in real time by price, latency and model.
Unified API gateway
One interface to many providers, cutting integration cost.
Multi-model access
Cover mainstream closed and open models, switch flexibly.
Cost optimization
Smart routing and usage optimization continuously lower unit cost.
Usage & billing
Unified usage observability, quotas and transparent billing.
Scheduling logic
The same request can run across multiple upstreams, chosen by your priorities.
By price
Prefer the lower unit-cost source.
By latency
Prefer the faster, more stable source.
By model
Match the provider to the required model capability.
Use cases
Model inference
Stable, elastic inference compute for live applications.
Agent applications
Optimize cost and latency for high-frequency agent calls.
Batch processing
Economical compute supply for large offline workloads.
Key advantages
Multi-source redundancy
Upstreams back each other up, avoiding single-point outages.
Smart routing
Automatic best-choice on demand, balancing cost and experience.
Elastic scaling
Scale with usage to handle peaks and troughs.
Transparent billing
Clear usage and cost, pay as you go.
Provision better compute for your AI
Tell us your models and usage — we’ll propose the right resources and scheduling.