Solutions
Custom Judges
High-Precision AI Evaluation
Mentiora helps you build tailored LLM-as-Judge models from your guidelines and data, delivering evaluations that beat generic scoring systems.
Generic evaluation prompts (e.g., "Is this helpful?") fail to capture the nuance of your business. To truly trust automation, you need evaluations that perfectly correlate with your internal experts. Mentiora builds custom judges that understand your specific definitions of quality, safety, and brand voice, allowing you to scale QA without scaling human headcount.
Where Mentiora Delivers Value
Precision Alignment
Stop relying on generic "out-of-the-box" metrics. We ingest your comprehensive policy documents, style guides, and compliance manuals to build judges that evaluate exactly as your best senior auditor would.
Active Learning Engine
We don't just train a model once. Our platform includes a dedicated Active Learning interface. Your experts can review "low-confidence" decisions made by the judge, correct them, and feed that labeled data back into the system. This creates a flywheel where the judge gets smarter and more aligned with your team every single week.
Scale Human-Level QA
Manual review is unscalable. Mentiora Custom Judges cover 100% of your traffic. By training models on your labeled data, we achieve industry-leading correlation with human ground truth, giving you human-quality inspection at machine speed and cost.
Measurable Impact
We translate better evaluation into operational excellence:
QA Cost Reduction: Replace expensive BPO or internal manual review. Mentiora provides 100% coverage for a fraction of the cost.
Experiment Velocity: Ship AI features faster. Developers no longer have to wait days for human feedback on a new model version. Our custom judges provide rigorous A/B test results in minutes.
Evaluation Accuracy: Stop optimizing for the wrong metrics. We provide a measurable Correlation Score against your "Gold Set" of data, proving that the AI evaluates exactly how you want it to.
How it Works
1. Ingest & Define (Specs + Unlabeled Data) We start with your reality. We take your existing unlabeled chat logs to understand the distribution of your traffic. We combine this with your customer specifications (guidelines, rubrics) to create the baseline definition of "Quality" for your specific use case.
2. Align & Train (Active Learning Platform) Refine with human-in-the-loop. The system selects the most ambiguous or difficult examples for your team to label via our intuitive UI. We use this labeled data to fine-tune specific LLMs (LLM-as-a-judge) that learn the subtle edge cases of your business logic that generic models miss.
3. Deploy & MonitorContinuous improvement. The custom judge is deployed to monitor your production traffic. It continues to flag edge cases for review, ensuring the model adapts as your product and user behavior evolve.
Why Choose Mentiora
Best-in-Class Alignment: We don't just prompt; we fine-tune. Our methodology allows us to bake complex logic into the model weights, reducing latency and cost while increasing accuracy.
Data-Centric Platform: Our tools make labeling and Active Learning effortless, turning your team's tacit knowledge into a digital asset.
Secure by Design: Supports deployment in your environment. Evaluation data is used only for your organization, with full transparency for audits and governance.
Next Step
Give us your guidelines and 50 examples. We will build a preliminary custom judge based on your specs and labeled data to demonstrate a higher correlation with your internal team than any generic evaluation method you are currently using.