Fine-tune open models securely and without dev time
Replace expensive LLM calls with fine-tuned open models trained on your production data. No in-house ML team required.
Start saving
Money-back guarantee
Self-hosted
Projected monthly spend
$48.2k
$9.6k
after Specton · 80% cost savings
before Specton
after Specton
Guaranteed:
you only pay if your bill drops at least 50%
Using frontier models for routine tasks is like paying a PhD to do intern work.
We can help. Here's how:
STEP 01
Connect your traffic
Add the Specton proxy or SDK. We map every LLM call to a workflow and start measuring real spend, latency and quality, all inside your environment.
STEP 02
We fine-tune a small model
Our team distills your task into a compact model and validates it against your own eval set until it clears your quality bar.
STEP 03
Route & save with a single click
When the model is ready we help you route easy tasks to the new model. You'll start seeing savings within 60 days of the engagement starting.
Auto-savings finder
It spots the savings before you do.
Specton constantly replays your traffic against cheaper models and surfaces only the swaps that hold your quality line. You approve; it rolls out. No regressions, no surprises.
Backed by your own evals
Every suggestion is validated on your dataset.
You set the quality floor
Specton only recommends swaps that stay above the bar you choose.
One-click rollout & instant rollback
Canary a swap, watch it live, revert in a click if anything drifts.
Recommended swap ·
classification
−$5,840/mo
GPT-4 class
$8.40 / 1k calls
Specton-S 3B
$1.62 / 1k calls
Result
−81% cost · −61% latency
99.1%
eval score retained
Quality vs. floor
99.1%
Your environment
Your prompts
Fine-tuned model
Logs & evals
Dashboard
nothing leaves your VPC
Self-host
Run it entirely inside your walls.
Specton deploys in your VPC or on-prem. Prompts, weights and logs stay on your hardware. Run air-gapped if compliance demands it, and keep the model weights forever.
Air-gap ready
Own your weights
Zero egress
FAQ
It depends on how much data you have and the existing format. Clients with enough data typically have a production-ready model in less than 30 days.
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