FRONTIER LLM  //  CUSTOM MODELS

Custom models, tuned on your data — and only yours.

Start from EchoNest and fine-tune on your domain. Your data stays in your environment, never trains a shared model, and the result deploys wherever you run.

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THE PIPELINE
Your corpus
repos · docs · tickets · logs
↓
Fine-tune on EchoNest
isolated · reproducible
↓
Private model
deployed in your environment
HOW IT WORKS

Four steps from your data to a deployed model.

01
Bring your data
Connect a repo, docs, tickets, or logs. It stays inside your environment the whole time.
02
Fine-tune
Adapt EchoNest to your domain, vocabulary, and conventions in an isolated run.
03
Evaluate
Test against your own benchmarks and acceptance criteria before anything ships.
04
Deploy
Roll out to your VPC, on-prem, or a dedicated endpoint — with one-click rollback.
DATA BOUNDARY

Your data never leaves your boundary.

01
Trained in isolation
Your corpus is never mixed into a shared model or used to train anything but your own.
02
Runs in your environment
Train and serve inside your VPC, on-prem, or a dedicated tenant. We never hold your keys.
03
Full audit trail
Every training run is logged, versioned, and reproducible for compliance and review.
DEPLOYMENT OPTIONS
Your VPC
Deploy into your own cloud account with private networking and your existing IAM.
On-premises
Run fully air-gapped on your own hardware — EchoNest is built for commodity compute.
Dedicated cloud
A single-tenant endpoint managed by us, isolated from every other customer.
COMMON BUILDS
Internal code assistant Support automation Domain Q&A Document processing Structured extraction

A model that speaks
your domain.

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