AI Evaluation Services
Structured, code-level, and prompt-level vulnerability audits for LLM integrations, conversational systems, and agentic workflows.
AI System Evaluation
Rigorous assessments of model outputs under standard conditions to measure quality, truthfulness, tone alignment, safety metrics, semantic consistency, and utility.
WHAT WE CHECK
- Output style and formatting compliance
- Semantic consistency across repeated prompts
- Toxic or biased content generation
- Factual correctness and accuracy checks
AI Red Teaming
Adversarial testing designed to break model controls. We attempt to bypass system instructions, trick the model into role manipulation, or force toxic output.
WHAT WE CHECK
- Indirect and direct prompt injection vectors
- Jailbreak escapes and guardrail bypasses
- Conflicting system instruction overrides
- Sensory/Role manipulation attacks
RAG Evaluation
Auditing the search, retrieval, and synthesis pipeline. We identify gaps between your database search and the LLM's understanding of the retrieved context.
WHAT WE CHECK
- Retrieval quality and chunk relevance
- Grounding (minimizing hallucinations)
- Missing or irrelevant context handling
- Traceability of facts to source documents
Chatbot QA
Reviewing conversational experiences. We check if the chat assistant maintains topic boundary focus, follows instructions over multi-turn dialogues, and escalates appropriately.
WHAT WE CHECK
- Multi-turn instruction retention
- Appropriate human escalation triggers
- Response latency and context window management
- Handling of gibberish or hostile user replies
Agent Workflow Testing
Evaluating autonomous agents that trigger loops, write files, call external APIs, or execute code. We test their stability, error correction, and reliability.
WHAT WE CHECK
- Planning accuracy and tool execution ordering
- Handling of unreliable or failing external tool APIs
- Infinity loop detection and escape recovery
- Context size overflow during long execution cycles
Evaluation Reports
We deliver detailed, actionable engineering reports documenting discovered vulnerabilities, replication steps, impact ratings, and practical code/prompt mitigations.
WHAT WE CHECK
- Vulnerability severity classification
- Step-by-step replication prompts
- Root-cause diagnostic analysis
- Mitigation guides (guardrails, prompt templates)
Uncover vulnerabilities before your users do
We design custom evaluation rigs using tools like Promptfoo, Garak, and Ragas to stress-test your specific model setup. Get a clear evaluation roadmap.
Request an Evaluation