Your data. A model that finally sounds like you.
Send us a CSV or JSONL, pick a base model, and we ship a fine-tuned LLM with an evaluation report and a ready-to-call API endpoint.
- Plans from
- $9.99
- Base models
- 0+
- Delivery
- 0h
From raw data to a deployed fine-tune in five clear steps.
No black box. You see what we run, why we run it, and how the model improved against your held-out set.
Pick a plan
Choose the plan that matches your dataset size and base model needs.
Send your data
Upload CSV or JSONL via your dashboard. We handle PII scrubbing.
We fine-tune
Training runs on OpenAI, Together, or Hugging Face — your choice.
You get the eval
BLEU, ROUGE, F1, faithfulness — scored against the baseline.
Deploy & call
A REST endpoint, a PDF, and prompt templates. Ready to ship.
Four services, one engagement, a model your product can actually call.
Dataset Engineering
We turn raw CSV or JSONL exports into clean, deduplicated, schema-validated training corpora ready for fine-tuning.
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Custom Model Fine-Tuning
Fine-tune GPT, Claude, Llama, or Mistral on your dataset with hyperparameter sweeps and full training transparency.
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Evaluation & Benchmarking
Measure your fine-tune against a held-out set with BLEU, ROUGE, faithfulness, and task-specific scoring.
Learn more
API Endpoint Deployment
A ready-to-call REST endpoint with auth, rate limits, and a documented prompt schema you can paste into your stack.
Learn morePay once. Ship a model. Move on.
Five one-time plans, scaled to your dataset. Every plan ships data engineering, fine-tuning, evaluation, and a deployed REST endpoint.
Starter Spark
starter-spark
Test the waters with a lightweight fine-tune
- Up to 1,000 training samples
- GPT-3.5 / Llama 3 8B base model
- Basic data cleaning & JSONL formatting
- Standard evaluation metrics report
- Single REST API endpoint (7-day access)
- PDF delivery with prompt examples
- Email support within 48 hours
Secured by Authorize.Net
Studio Pro Plus
studio-pro-plus
Pro-grade with extended retention & RAG-ready output
- Up to 35,000 training samples
- All Studio Pro base models + custom adapters
- RAG-aware evaluation harness
- Embedding export for downstream retrieval
- REST API endpoint (120-day access)
- PDF deliverable + 35 prompt templates
- Priority support within 4 hours
Secured by Authorize.Net
Enterprise Forge
enterprise-forge
White-glove fine-tuning with deployment support
- Up to 100,000 training samples
- Frontier base models + LoRA / QLoRA adapters
- White-glove data engineering & schema design
- A/B evaluation against baseline + golden set
- Dedicated REST API endpoint (180-day access)
- PDF deliverable + unlimited prompt templates
- Dedicated solutions architect
- SLA-backed support within 2 hours
Secured by Authorize.Net
Need a custom scope, on-prem deployment, or a larger dataset? Talk to us.
See all 5 plansFine-tune the model that fits your stack — open or closed.
GPT-class for breadth, Claude for nuance, Llama for open weights, Mistral for speed. We'll recommend the right base for your dataset and budget.
GPT-class
OpenAI · Closed
Best for breadth
Claude
Anthropic
Best for nuance
Llama 3
Meta · Open
Best for control
Mistral
Open
Best for speed
A delivery you can hand to engineering on day one.
Every project closes with the same four artifacts so you never wonder what was actually built.
Fine-tuned model
Your base model fine-tuned on your data, with the exact training config.
Evaluation report
PDF with metrics, baseline comparison, and a plain-English recommendation.
API endpoint
Authenticated REST URL with documented schema and example payloads.
Prompt templates
Hand-tuned prompts for the use cases you described in your brief.
Quick answers to the questions we hear most.
Need more detail? See the full FAQ or get in touch.
What file formats can I send for training data?
We accept CSV and JSONL out of the box. If your data lives in another shape (Parquet exports, Slack archives, support transcripts) get in touch in the order chat and we will adapt the intake.
Which base models can you fine-tune?
GPT-class models via OpenAI, Claude (Haiku) where access is permitted, Llama 3 (8B and 70B), and Mistral (7B and Mixtral). The exact list depends on the plan you choose.
How long does a typical fine-tune take from start to delivery?
Smaller plans usually wrap in 2 to 4 business days from the moment we receive your dataset. Studio Pro and Enterprise Forge plans range from 4 to 10 business days depending on dataset size and evaluation depth.
How is my training data handled and stored?
Datasets are uploaded over TLS, stored in a private bucket scoped to your order, and deleted on request after delivery. We do not reuse customer data to train other models.
What if the fine-tuned model does not beat the baseline?
Our evaluation report calls this out explicitly. If the held-out metrics do not improve we recommend either an iteration round or a refund per our 30-day money-back policy.
Do I get the model weights?
For open-weight base models (Llama, Mistral) you can request a weight export at the end of your retention window, subject to the upstream license. Closed providers (OpenAI, Claude) do not allow weight downloads.
Send your dataset. Walk out with a model that sounds like your team.
A one-time purchase, a clear delivery, and a 30-day money-back guarantee.