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Custom evaluation frameworks

Every AI architecture demands a unique validation strategy. We move beyond generic benchmarks to stress-test your specific models and RAG pipelines against your real-world data and custom performance requirements.

Why evals matter

AI models don’t just fail when they’re inaccurate. They fail when:

  • Datasets are mislabeled or biased

  • Models hallucinate or produce unsafe content

  • Edge cases and adversarial prompts go untested

  • Evals as a Service ensures your AI is trustworthy, robust, and aligned — before it reaches production.

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The evaluation journey

Enterprise grade validation without the engineering overhead You shouldn’t have to divert your core team to build complex internal benchmarking tools. We provide the infrastructure, the expertise, and the objective analysis, combining high-speed automated judging with expert human oversight to deliver decision-ready insights.

1
Scenario definition & data integration

Define your objectives. We begin by identifying the specific components of your stack you wish to validate—whether it is a complex RAG pipeline, multi-step autonomous agents, or a side-by-side comparison of foundation models.

  • The Input: You provide your target workflows, representative user queries, and any existing "Golden Sets" (ground-truth data).
  • The Goal: We ensure the evaluation framework is perfectly aligned with your actual production environment.
2
Calibrated review & methodology selection

Customize your level of rigor. Accuracy requirements vary by use case. We offer a tiered approach to validation so you can balance speed with precision.

  • LLM-as-a-Judge: Rapid, scalable scoring using advanced, proprietary evaluation prompts to detect hallucinations and relevance at scale.
  • Expert Human Review: High-fidelity manual auditing for nuanced tasks where human judgment, empathy, and specialized domain knowledge are non-negotiable.
  • Hybrid Validation: The gold standard—automated broad-spectrum testing verified by human-in-the-loop spot checks.
3
Decision ready reporting & strategy

Identify the clear winner. We move beyond raw data to provide a comprehensive Evaluation Report that translates metrics into action.

  • The Output: A clear, comparative analysis that identifies which model, prompt, or retrieval strategy outperformed the rest.
  • Strategic Support: We don’t just hand over a spreadsheet; we provide a post-evaluation consultation to help you interpret the results and optimize your next deployment phase.

Industries we serve

Precision-engineered evaluations for high-stakes environments. We translate complex industry requirements into objective benchmarks, ensuring your AI solutions meet the specific safety, accuracy, and compliance standards of your sector.

Heavy Industry & Operations

  • Manufacturing: Stress-testing predictive maintenance models to reduce false-positive downtime alerts in high-throughput environments.
  • Agriculture: Accuracy checks for crop-yield forecasting and pest-detection models using multi-spectral imagery.
  • RPA : Logic-validation for document-processing agents to ensure 100% grounding in automated financial or data-entry workflows.

Consumer & Digital Services

  • Retail: A/B testing recommendation engines to measure "discoverability" and the reduction of search friction for end consumers.
  • Social Media: Moderation audits for toxicity, bias, and multi-modal content safety (text, image, and video) across global dialects.
  • E-Commerce and Content: Evaluated "helpfulness" scores for AI-generated product descriptions and SEO-optimized marketing copy.

Healthcare & Finance

  • Medical AI: Rigorous factuality and compliance audits for clinical summarization tools, ensuring zero hallucination in patient data processing.
  • Fintech: Robustness testing for credit-scoring models and fraud-detection agents, focused on removing algorithmic bias and ensuring regulatory alignment.
  • Insurance: Validation of automated claims-processing agents for policy grounding and accurate damage assessment from user-submitted photos.

Emerging Tech

  • Physical AI : Benchmarking "sim-to-real" transfer success rates for robotic manipulation and spatial reasoning in unstructured environments.
  • Voice AI: Linguistic accuracy and emotional resonance testing for conversational IVR and real-time translation services.
  • Sports & Media: Precision audits for automated player-tracking data and real-time highlight generation algorithms.
  • Asset Management: Stress-testing LLM-driven market sentiment analysis tools against historical volatility sets to ensure reliable investment signaling.

Automotive & Infrastructure

  • ADAS: Edge-case validation for computer vision models and sensor fusion reliability under diverse weather and lighting conditions.
  • Mapping: Precision audits for autonomous navigation, ensuring sub-centimeter accuracy in spatial data and real-time attribute labeling.
  • Geo Spatial: Validation of change-detection algorithms for satellite imagery, focusing on rural vs. urban classification accuracy.

Heavy Industry & Operations

  • Manufacturing: Stress-testing predictive maintenance models to reduce false-positive downtime alerts in high-throughput environments.
  • Agriculture: Accuracy checks for crop-yield forecasting and pest-detection models using multi-spectral imagery.
  • RPA : Logic-validation for document-processing agents to ensure 100% grounding in automated financial or data-entry workflows.

Consumer & Digital Services

  • Retail: A/B testing recommendation engines to measure "discoverability" and the reduction of search friction for end consumers.
  • Social Media: Moderation audits for toxicity, bias, and multi-modal content safety (text, image, and video) across global dialects.
  • E-Commerce and Content: Evaluated "helpfulness" scores for AI-generated product descriptions and SEO-optimized marketing copy.

Healthcare & Finance

  • Medical AI: Rigorous factuality and compliance audits for clinical summarization tools, ensuring zero hallucination in patient data processing.
  • Fintech: Robustness testing for credit-scoring models and fraud-detection agents, focused on removing algorithmic bias and ensuring regulatory alignment.
  • Insurance: Validation of automated claims-processing agents for policy grounding and accurate damage assessment from user-submitted photos.

Emerging Tech

  • Physical AI : Benchmarking "sim-to-real" transfer success rates for robotic manipulation and spatial reasoning in unstructured environments.
  • Voice AI: Linguistic accuracy and emotional resonance testing for conversational IVR and real-time translation services.
  • Sports & Media: Precision audits for automated player-tracking data and real-time highlight generation algorithms.
  • Asset Management: Stress-testing LLM-driven market sentiment analysis tools against historical volatility sets to ensure reliable investment signaling.

Automotive & Infrastructure

  • ADAS: Edge-case validation for computer vision models and sensor fusion reliability under diverse weather and lighting conditions.
  • Mapping: Precision audits for autonomous navigation, ensuring sub-centimeter accuracy in spatial data and real-time attribute labeling.
  • Geo Spatial: Validation of change-detection algorithms for satellite imagery, focusing on rural vs. urban classification accuracy.

Heavy Industry & Operations

  • Manufacturing: Stress-testing predictive maintenance models to reduce false-positive downtime alerts in high-throughput environments.
  • Agriculture: Accuracy checks for crop-yield forecasting and pest-detection models using multi-spectral imagery.
  • RPA : Logic-validation for document-processing agents to ensure 100% grounding in automated financial or data-entry workflows.

Consumer & Digital Services

  • Retail: A/B testing recommendation engines to measure "discoverability" and the reduction of search friction for end consumers.
  • Social Media: Moderation audits for toxicity, bias, and multi-modal content safety (text, image, and video) across global dialects.
  • E-Commerce and Content: Evaluated "helpfulness" scores for AI-generated product descriptions and SEO-optimized marketing copy.

Healthcare & Finance

  • Medical AI: Rigorous factuality and compliance audits for clinical summarization tools, ensuring zero hallucination in patient data processing.
  • Fintech: Robustness testing for credit-scoring models and fraud-detection agents, focused on removing algorithmic bias and ensuring regulatory alignment.
  • Insurance: Validation of automated claims-processing agents for policy grounding and accurate damage assessment from user-submitted photos.

Know exactly how your AI performs before you ship

We build custom eval frameworks for your models, RAG pipelines, and agents — combining automated judging with expert human review to give you decision-ready performance insights

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