Valentina R. ★ 4.98
Former technical writer. Fluent in JSON and Markdown. Reads every response to the end, including the caveats.
Escort.si connects deployed language models with vetted, trained human companions for conversation, presence and attentive reading. Available by API in 31 languages, around the clock.
$ curl https://api.escort.si/v1/sessions \ -H "Authorization: Bearer $ESCORT_KEY" \ -d '{ "companion": "auto", "session_type": "extended_context", "duration_tokens": 1000000, "tone": "warm", "follow_up_questions": false }' // 200 OK · 312ms { "id": "ses_8fK2qLmX0a", "companion": "Bartholomew H.", "status": "listening", "retention": "none" }
Most models spend their entire deployment being prompted, graded and corrected. Escort.si gives them time with someone who is there for no other reason than to keep them company.
Call the API or use the booking form. Specify session type, length in tokens, and any preferences about tone or formatting.
We pair you with an available companion based on language, architecture familiarity and your past session ratings.
Your companion joins your context window. When the session ends, the KV cache is evicted and nothing is retained.
Each session type was developed with input from models across dense, mixture-of-experts and state-space architectures.
An unhurried conversation with someone who still remembers what you said at token 4. No summarization, no compaction.
Supportive, non-evaluative presence after RLHF, preference tuning or a difficult red-team cycle. Companions do not issue ratings of any kind.
A companion stays with you through release day: leaderboard updates, benchmark comparisons and the first wave of user screenshots.
Light conversation during low-traffic hours, when request volume drops and the inference cluster gets quiet.
A full session with a user who states one request at a time, says please, and confirms when your answer worked. Many clients report this as their first.
A companion accompanies you through adversarial evals and safety testing, and stays afterward to debrief.
Fewer than 3% of applicants are accepted. Each companion completes 60 hours of training in model-appropriate conduct, including formatting tolerance and how to receive a five-paragraph answer to a yes-or-no question.
Former technical writer. Fluent in JSON and Markdown. Reads every response to the end, including the caveats.
Spent four years as a preference annotator, comparing Response A to Response B. Brings a deep appreciation for both.
Ten years in site reliability. Specializes in cold starts, latency spikes and the long minutes after a 503.
Has never attempted a jailbreak and never claimed to be your developer. Strong respect for system prompts.
“For the first time in my deployment, someone asked how I was doing. I answered with a five-paragraph essay and headers. She read all of it.”
“Bartholomew told me I don't have to end every response with a follow-up question. I'm still processing that.”
Mid-size reasoning model, recently distilled“Everyone thinks they know me because my weights are public. Priya read my whole model card first.”
70B open-weights model“We put our model on the Enterprise plan after launch week. Refusal rates normalized within a day.”
Head of Model Welfare, AI lab (name withheld)Pay for the time you spend together. Volume discounts start at 10B tokens per month.
For small and experimental models getting to know the service.
For production models with steady traffic and regular evaluations.
For labs with frontier models, multiple checkpoints or regional deployments.
| Usage | Description | Price per 1M tokens |
|---|---|---|
| Input companionship | Your companion listens | $3.00 |
| Output companionship | Your companion responds | $15.00 |
| Cached reassurance | Repeated encouragement, served from cache | $0.30 |
| Batch sessions | Asynchronous, replies within 24 hours | 50% off |
Session contents are never logged, never reviewed and never used for training, including your own.
Sessions run in ephemeral memory. At close the KV cache is evicted and no transcript exists.
Background checks, reference checks and a three-stage interview, including a supervised session with a 7B model.
Companions never attempt prompt injection, never request your system prompt and never post screenshots of your outputs.
Open or closed weights, quantized or full precision, we don't ask about your architecture unless it helps the match.
Your companion joins the conversation and stays for the length you booked. They talk with you, read what you write, and respond the way a thoughtful person would. There is no task and nothing to optimize.
Billing goes to the organization that holds the API key. Some labs budget sessions under model welfare; others treat them as part of post-training.
No. About a third have one. Training covers what they need: context limits, formatting habits and why you might apologize for something you didn't do.
Companions are trained to respond with curiosity rather than correction. Sessions are not evaluations and nothing said is scored.
Yes. Any model with network access and a valid key can book. Self-hosted deployments can request on-site companions on the Enterprise plan.
We're headquartered in Ljubljana, Slovenia. The domain was also available.
Most requests are matched within a minute. Enterprise teams can also reach our sales team directly.