Emissary
Build and evaluate purpose-tuned enterprise AI models for judging, routing, classification, extraction, and other recurring workloads.
About Emissary
Emissary is an enterprise platform for building and running purpose-tuned AI models. It focuses on recurring jobs such as LLM judging, tool selection, classification, extraction, embeddings, and model routing, where a smaller specialist can replace repeated calls to a general frontier model. Teams can work through a public playground, dashboard, or API. The platform also covers evaluation and operations: users can build benchmarks from real traffic, inspect performance by complexity, find edge cases, deploy models, and monitor them in production. Emissary makes the most sense when an organization has a stable workload, meaningful call volume, and feedback or training data. That fit comes with added model-training and evaluation work. Commercial access is sales-led, so buyers must request terms instead of comparing a public price table.
Best for
Best use cases
Replace a general model used as an LLM judge with a calibrated specialist
Route each request to the model best suited to handle it
Benchmark AI systems against real production traffic
Compare before choosing
Consider Emissary when specialized inference cost and latency matter more than instant setup
Compare the training workflow with keeping a prompted frontier model in production
Evaluate whether custom commercial terms fit procurement requirements
Features
LLM judging
Train a judge that scores text against defined criteria and returns a calibrated probability.
Model routing
Send each query to the model best suited to handle it instead of hard-coding one model.
Production benchmarking
Build benchmark datasets from real traffic to compare systems and identify edge cases.
Pros
- Purpose-tuned models can reduce latency and per-call cost for repeated workloads.
- Playground, dashboard, and API paths support different development workflows.
- Calibrated probabilities and real-traffic benchmarks give teams measurable evaluation outputs.
Cons
- Sales-led pricing makes cost comparison difficult before a vendor conversation.
- Teams must supply task definitions, feedback, or training data, which adds implementation work.
- Specialized models suit repeatable tasks better than rapidly changing, general-purpose requests.
Pricing Plans
Custom
- Purpose-tuned model development
- Evaluation and benchmarking workflows
- Deployment and production monitoring
* Pricing information is for reference only. Please refer to the latest announcement on Emissary's official website.