Diagnostic Architecture

Engineered for deterministic AI reliability.

Every layer of the Tanvelo platform is constructed to replace anecdotal prompt testing with repeatable scientific rigor.

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Beyond toy benchmarks

Domain-Specific Stress Generation

Tanvelo generates hundreds of boundary-pushing test cases tailored to your model's target domain—whether code compilation, customer support tone, multi-step math, or constraint adherence.

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Zero self-grading bias

Decoupled Independent Judging

Avoid the hazard of an LLM rating its own logic. Tanvelo employs an independent judging layer with strict, calibrated rubrics and deterministic verification checks.

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Turn 1,000 logs into 3 clear causes

Semantic Failure Clustering

High-dimensional vector embeddings cluster anomalous responses into distinct, impact-ranked bug buckets. Instantly see whether failures stem from instruction drift, missing context, or edge syntax.

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Actionable engineering advice

Prescriptive Remediation Engine

Every detected failure group is mapped to a clear engineering recommendation: prompt system modifications, negative constraint injection, RAG grounding, or targeted fine-tuning.

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Ready-to-use JSONL & CSV

Curated Remediation Datasets

Directly export paired failure prompts with verified 'gold-standard' completions. Use these datasets directly in your fine-tuning pipeline or automated regression test suites.

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Your model weights and data stay yours

Isolated Execution & Encryption

API keys are AES-256 encrypted at rest and never shared with client-side code. Zero customer prompts or completions are retained for foundational model training.

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