Cut Customer Support AI Costs by 80%
Train a private model on your real support tickets. It learns your product, your tone, your edge cases — and runs at a fraction of GPT-4 price.
80%
Cost reduction vs GPT-4
< 2 hrs
Setup time
~45 min
Fine-tuning time
The Problem
Customer support teams pay $1,000–$10,000/month in GPT-4 API costs for AI-assisted replies. The model knows nothing about your product out of the box and hallucinates policy details.
The Solution
Upload 200 resolved tickets. Distillfast generates 50,000 synthetic pairs via Claude, fine-tunes Llama 3.1 on your data, and gives you a private inference API that knows your product cold.
How It Works
Upload your examples (50–500 pairs in CSV or JSON)
Distillfast generates 50,000 synthetic training pairs via Claude
Llama 3.1 or Mistral 7B fine-tunes on your data — takes ~45 min
You get a private inference API endpoint
Plug it into your product — same OpenAI-compatible format
Frequently Asked Questions
What format do my support tickets need to be in?
CSV or JSON with a customer message column and an agent reply column. Zendesk, Intercom, and Freshdesk exports work directly.
How many tickets do I need to start?
As few as 50 resolved tickets. Distillfast synthesizes 50,000 training pairs from them using Claude — more data, better quality.
Will the model know our product policies?
Yes. It learns from your actual resolved tickets, including how your agents handle refunds, escalations, and edge cases.
Ready to cut your AI costs?
Free plan includes 2 models. No credit card required.
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