01Pre & Post-Training
Frontier AI Research Labs
Private pre-release benchmark suites, post-training RLHF preference datasets, and adversarial red-teaming sweeps.
Evaluation Use Cases6 Primary Archetypes
Evaluation programs shaped around the model behavior you need to measure.
Different AI systems fail in different ways. Kaudh Private Limited scopes each project around the task environment, reviewer expertise, scoring criteria, and evidence needed by the client team.
02Software Engineering
Coding Copilots & Developer Tools
Multi-file repository refactor tasks, test generation benchmarking, AST safety verification, and bug triage evaluation.
03Agentic Tool-Use
Autonomous Agent Teams
Multi-step tool execution, SQL/API schema validation, error recovery trajectories, and long-horizon goal verification.
04Vendor Comparison
Enterprise Model Bake-offs
Objective head-to-head comparison between frontier models (OpenAI vs. Anthropic vs. Open Source) across proprietary tasks.
05Regulated Verticals
High-Stakes Domain Evals
Healthcare clinical guideline adherence, financial document reasoning, and legal regulatory compliance checks.
06Data Quality
Human-in-the-Loop Adjudication
Resolving high-ambiguity edge cases, converting messy edge cases into clean training labels, and synthetic data auditing.