Build Your Own Specialized Models
Mentiora converts noisy chat logs into high-quality training sets, enabling you to fine-tune smaller, faster, owned models with big-model intelligence.
Where Mentiora Delivers Value
Slash Inference Costs (The 10x ROI)
Stop paying the 'generalist tax.' A specialized model (e.g., Llama 8B) fine-tuned on your data can outperform a generalist giant (GPT-4) on your specific tasks. Mentiora curates the training data required to make this switch possible, lowering your bill by up to 90%.
Own Your Intelligence (IP Moat)
Don't let your competitive advantage sit in an API you don't control. By training your own models on your proprietary data, you build an asset that no competitor can copy, and that no vendor can deprecate or change overnight.
Eliminate 'Garbage In, Garbage Out'
You have millions of logs, but they are full of errors, hallucinations, and angry users. You can't train on this mess. Mentiora's 'Judges' automatically scour your history to find the top 1% of 'perfect' interactions, creating a clean signal for training.
Measurable Impact
Inference Cost Reduction
Move high-volume traffic from expensive proprietary models ($10+/1M tokens) to efficient open-source models ($0.50/1M tokens).
Latency Reduction
Specialized small models generate text significantly faster than giant reasoning models, making your app feel 'instant'.
Accuracy on Domain Tasks
A fine-tuned specialist often beats a generalist. We measure specific accuracy on your rubrics (e.g., 'Did it follow the refund policy perfectly?').
How it Works
Score & Filter: Find the Gold
We ingest your raw history. Mentiora's 'Quality Judges' score every interaction. We automatically discard hallucinations, vague answers, and negative customer sentiment, isolating only the high-quality examples.
Refine & Rewrite: The Teacher Step
Even good human answers can be better. We use a 'Teacher Model' (e.g., GPT-4) to polish your best logs, improving tone, formatting, and clarity, so your smaller model learns from the best possible version of the truth.
Fine-Tune & Deploy: Create the specialist
We export this 'Golden Dataset' in a ready-to-train format. You can use it to fine-tune a lightweight model (like Mistral or Llama) that runs faster and cheaper than your current setup, while retaining all the specific knowledge of your business.
Why Choose Mentiora
Automated Curation
Manual labeling is too slow. Our AI Judges clean datasets at massive scale.
Model Agnostic
We prepare data for any destination, OpenAI fine-tuning, Anthropic, or open-source weights.
Privacy First
Your data never leaves your environment for training if you choose on-prem deployment.
Let us scan 10,000 of your recent logs
We will identify what % of your data is actually 'training grade' and estimate the cost savings you could achieve by moving to a fine-tuned model today.