Validate language models before they reach production

Brim Labs provides rigorous validation for LLMs to ensure accuracy, safety, alignment, and readiness for real-world deployment. From benchmark testing to safety audits, we help you build trust in your AI outputs and minimize operational risk.

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Reduction in Hallucination Rate

Through structured prompt testing and grounded data validation.

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Improved Output Consistency

Validated across edge cases, prompt variations, and user contexts.

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Faster Go-Live for AI Products

Validation frameworks accelerate review and approval cycles.

LLM Validation Solutions

Accuracy Testing
Accuracy Testing
  • Evaluate model predictions against ground-truth data
  • Analyze token-level and semantic correctness
  • Domain-specific QA tests (legal, medical, financial)
Prompt Behavior Analysis
Prompt Behavior Analysis
  • Examine multi-prompt variation
  • Spot regressions in logic or language
  • Test length sensitivity, negation handling, edge cases
Hallucination Detection
Hallucination Detection
  • Use RAG and vector stores for fact-checking
  • Track unsupported claims and misinformation
  • Identify risk thresholds for deployment
Bias & Safety Evaluation
Bias & Safety Evaluation
  • Run adversarial and toxicity prompts
  • Use protected attribute tests (e.g., gender, race, age)
  • Score outputs against fairness and inclusion guidelines
Alignment & Compliance Validation
Alignment & Compliance Validation
  • Test model behavior against company goals, tone, and policies
  • Map validation to compliance frameworks (e.g., HIPAA, GDPR)
  • Document results for stakeholder and audit review

Deploy AI With Confidence

LLMs are powerful, but only if they're validated properly. At Brim Labs, we help ensure your AI systems behave safely, predictably, and ethically. Our validation process blends automated evaluation with domain-specific review to help you ship models that meet real-world expectations.Whether you're preparing for launch or assessing an existing model, we deliver validation that builds trust, across users, teams, and regulators.

LLM Validation

Technologies we use

Language
Language
AI/ML Frameworks
AI/ML Frameworks
Libraries
Libraries
Algorithms
Algorithms
Data Management & Visualization
Data Management & Visualization
Natural Language Processing Technologies
Natural Language Processing Technologies
Model Management Tools
Model Management Tools
OCR
OCR

FAQs

Ask us anything

LLM validation ensures that your language model is accurate, safe, aligned, and performs as expected. It's essential for real-world deployment, especially in regulated or high-impact domains.