01 · ROUTE
The right model, for your every request
Emissary evaluates each step against your quality bar and sends it to the optimal model for that task.
Across open and closed models
Cache aware
50ms overhead
Frontier quality.
Open-source prices.
Emissary optimizes LLM requests through intelligent routing, personalized inference & post-training.
“Classify these 400 support tickets”
Frontier tier$3.00 in · $15.00 out /1M tok
$0.058Open-weights tier$0.20 in · $0.80 out /1M tok✓ Clears the bar · 93% cheaper
$0.004Your fine-tune$0.50 in · $1.50 out /1M tok
$0.009Simple classification — open weights match frontier output
Simple classification — open weights match frontier output
With Emissary$0.004
Frontier-only$0.058
Saved93%
40%
Median spend cut, agentic workloads
99.8%
Eval parity vs frontier
50B
Tokens routed this month
One agent task, 5 steps01 · Route
01Plan the approachFrontier$0.021
02Extract tables from pp. 1–40Open-weights$0.026
03Extract tables from pp. 41–80 · cache hitOpen-weights$0.011
04Reason over YoY deltas · 84% cachedFrontier$0.019
05Draft the summaryOpen-weights$0.011
40%cost saved
50msadded latency
Step 04 stayed on the pricier model on purpose — switching mid-task would have dropped a warm cache and cost more, not less.
All-frontier baseline $0.147Emissary $0.08840% less
02 · SERVE
Open models, tailored to your traffic
Shared endpoints price open-source models for the average workload, not yours. We run them on dedicated, optimized compute tuned to your traffic shape, so the cheap option stays predictable under load.
Dedicated capacity, no noisy neighbors
Tuned to your traffic shape
Predictable latency under load
03 · POST-TRAIN
Your own models, trained on your data
Every routed request leaves a trajectory. Train your own model on them — specialized to the work you actually do — and Emissary routes to it automatically when it’s the better call. Your data, your weights.
Cheaper on work you've already seen
Better on your domain than any general model
Faster, because it’s smaller
The more you route, the more trajectories you have to train on — and the router decides when your model is the better call. That’s the loop: routing feeds your training data, training makes routing cheaper.
Built for enterprise
Production scale from day one.
Deployed inside the agent stacks of the fastest-growing AI companies. Capacity, isolation, and reliability you don't have to negotiate for.
17M+
requests per month
50B
tokens per month
99.99%
uptime SLA
0
rate limits
Enterprise-grade data isolation. Dedicated training runs and inference endpoints per tenant.
Your signal never trains anyone else's model.
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