Vibe training: No dataset required

3x cheaper than GPT.
100x more accurate.

GPT-5 will cost $50/million tokens and still hallucinate 20% of the time on domain-specific tasks.

Train specialist models by describing what you want. We create the data and fine-tune automatically.

Why general AI fails at specific tasks

You ask GPT-5 to handle customer support. It starts making up return policies, inventing product features, and confidently stating wrong facts about your business.

That's because it trained on Reddit, Wikipedia, and random internet text. Your business logic is 0.0001% of its training data. No wonder it hallucinates.

Train a model on YOUR data that knows YOUR business.

The Insight

Specialist beats generalist every time

Traditional Approach

The Entire Library

  • • 175B parameters
  • • Knows everything, masters nothing
  • • $100k+/month to run
  • • 500ms+ response time
  • • Generic answers

Our Approach

Your Specific Books

Customer Service

Product Expert

Legal Review

Data Analysis

Quality Check

Risk Score

  • • 7B parameters each
  • • Expert at your specific tasks
  • • $500/month total
  • • 50ms response time
  • • Perfect for your business

How It Works

Describe behavior, not datasets

Tell us how the model should behave. We synthesize training data, configure the architecture, and handle the training. Watch it happen live.

13 Specialized Models

One model per business function

Customer service, fraud detection, document extraction, quality scoring. Each gets its own specialist model that actually works.

LLM

Chat Fine-Tuning

Train on your data

Example: Marketing agent for your niche
LLM

Emotional Tags

Control response style

Example: Reply with <emotional> tone
LLM

Reward Modeling

Score response quality

Example: Grade based on your criteria
Text

Classification

Categorize anything

Example: Research paper quality scoring
Text

Risk Scoring

Calculate risk levels

Example: Citation impact prediction
Text

Entity Extraction

Pull key information

Example: Extract compounds, genes, methods
Text

Translation

Convert between formats

Example: LaTeX to plain language
Vision

Visual Analysis

Identify patterns

Example: Microscopy cell classification
Vision

Object Detection

Find and count items

Example: Count cells in lab images
Vision

Medical Imaging

Analyze scans

Example: Tumor detection in MRI scans
Tabular

Prediction Models

Predict outcomes

Example: Experiment success probability
Tabular

Forecasting

Predict future values

Example: Protein folding predictions
Semantic

Similarity Matching

Find related content

Example: Literature review automation
Coming Soon

Reinforcement Learning

Teach with rewards

Example: Train behavior with feedback
Coming Soon

Voice Fine-tuning

Custom voice models

Example: Teach emotions & languages
Coming Soon

Image Generation

Create images from text

Example: Product designs from ideas
Coming Soon

Video Models

Generate video content

Example: Training videos from docs
Coming Soon

Custom Architecture

Build your own design

Example: Research-grade models

Zero Engineering Required

Vibe training: Just describe what you want

No datasets. No labeling. Just describe the behavior and we create synthetic data, train the model, and deploy it. Like Cursor for AI training.

  • Describe the vibe - we synthesize perfect training data
  • Automatic LoRA/QLoRA for efficient fine-tuning
  • Live metrics show accuracy, loss, and uncertainty scores
  • Export GGUF, adapters, or deploy as API instantly

Drop your dataset here

CSV, JSON, Parquet supported

The Numbers

Specialist models vs GPT-5: Real numbers

On your specific tasks, specialist models are cheaper, faster, and more accurate. Here's what our users see in production.

Cost

Cost

20x cheaper

General LLM

$10,000/month

Your Model

$499/month

Speed

Speed

100x faster

General LLM

2-5 seconds

Your Model

50ms

Accuracy

Accuracy

18% better

General LLM

78% on your data

Your Model

96% on your data

Size

Size

25x smaller

General LLM

175B parameters

Your Model

7B parameters

Why Specialized Wins

Large language models are like hiring a Nobel laureate to answer your support emails. Impressive? Yes. Practical? No. Your business doesn't need infinite knowledge-it needs perfect execution on specific tasks.

Specialized models: Faster, cheaper, and actually better at what matters.

Models our users are talking about

Training model on my data for chatting

Custom conversational AI that understands your business context and terminology perfectly.

Stable Diffusion research models

Training models for fun, exploring diffusion architectures for creative applications.

Agent-Specific Intent Models

Improving agents with specific intent, conversation, and voice models for complex workflows.

Translation for my language

Training models for translation on underserved languages and regional dialects.

Socionics research models

Training models for personality type analysis and interpersonal dynamics research.

School matching for parents

Helping parents find the right school for their kid in a private network.

Medical billing & coding

Automating complex medical billing codes and insurance claim processing.

How engineers actually use this

Netflix has 100+ models: one for thumbnails, one for recommendations, one for search. Each specialist outperforms any general model at its specific task.

Now you can build the same architecture. Train specialists for each business function, then orchestrate them in workflows. No ML team required.

1

Describe Behavior

Tell us how each model should act. We handle the rest.

2

Auto-Training

We synthesize data and train. 10 minutes later: deployed.

3

Compose Workflows

Chain specialists with validators to eliminate hallucinations.

Ship AI that doesn't hallucinate

Perfect for engineers who need reliability and builders using Cursor who need simplicity.

Describe what you want. Get a model that actually works. Deploy anywhere.

Book a demo