Stop Reselling GPT. Start Owning Your Models.
Fine-tune a custom AI model for each client on their own data — no ML team required. Cut API pass-through costs by 99.6%. Build proprietary models competitors can't replicate.
Early-bird price locked for life · Cancel any time
The GPT Wrapper Trap is Real
Most AI agencies are one client conversation away from being replaced. Here's why.
API bills eat your margins
A 15-client agency spends AU$4,200/month in API pass-through — pure cost with no defensibility. Every client usage spike is a margin call.
You're reselling the same GPT as everyone else
If your AI service is a prompt on top of OpenAI, your clients know. There's no moat, no switching cost, and a Fiverr freelancer can undercut you tomorrow.
Enterprise clients need data sovereignty
Legal, healthcare, and financial clients won't send their data to OpenAI. Without a private AI option, you're locked out of the highest-value segments.
How Ertas Gives Agencies a Real Moat
Fine-tune once. Charge monthly. Own the infrastructure your clients can't leave.
Per-client LoRA adapters
Fine-tune a custom model for each client on their own data. 50-200MB adapter files sit on top of a shared base model — no duplicating 7B+ parameters per client.
99.6% cost reduction
AU$4,200/mo in API fees → AU$14.50/mo on Ertas. Run inference locally at zero per-token cost. Hardware pays itself back in under a month.
Data stays in your clients' environments
Train in the cloud, deploy on-device. No client data flows to OpenAI at inference time. Unlock legal, healthcare, and compliance-sensitive work.
No-code fine-tuning canvas
Upload training data, select a base model, fine-tune, export GGUF. No Python, no CLI, no ML team required. Setup in ~2 minutes.
OpenAI-compatible local endpoint
Your automation tools (Make.com, n8n, Voiceflow) point at your local Ollama endpoint. Just change the URL — no workflow rebuilds required.
White-label and multi-tenant ready
Manage per-client adapters from one base model. Deploy as branded AI to clients. Each client gets a model trained only on their data.
Ertas vs Cloud API (for Agencies)
| Feature | Ertas | Cloud API |
|---|---|---|
| Cost per month (15 clients) | AU$14.50 + hardware | AU$4,200+ |
| Per-token inference cost | AU$0 | AU$0.0075–0.03/1K tokens |
| Client data sent to third party | No | Yes |
| Custom model per client | Yes (LoRA) | No |
| Code required | No | Varies |
| White-label deployment | Yes | No |
| Break-even vs API costs | ~1 month | Ongoing cost |
"Replaced our AU$400/mo API bill with a fine-tuned model running locally. Better results, predictable costs. Exactly what we needed."
Maria R.
Startup Founder
"Fine-tuned a model on our product docs in under an hour. Now our support bot actually understands our domain instead of hallucinating."
Jamie K.
Indie Developer
Build the AI agency that clients can't replace
Early-bird access at AU$14.50/month — locked in for life. Launch price will be AU$34.50/month.
Or join the free waitlist