Solutions
Data Foundry
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.
You are currently renting intelligence. You pay premium prices to send the same repetitive prompts to massive models (like GPT-4) every day. You could switch to a cheaper, smaller model, but it wouldn't be smart enough. Mentiora Data Foundry solves this. We use your historical data to teach a small model (like Llama 3) how to behave exactly like your best agent, giving you GPT-4 quality at 1/10th of the cost.
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
We translate Data Curation into P&L improvements:
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
1. Score & Filter (Find the Gold) Separate the signal from the noise.
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.
2. Refine & Rewrite (The Teacher Step) Make the data perfect.
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.
3. 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.
Next Step
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.