AI Testing Services | LLM Evaluation, Code AI & Generative AI Validation

AI Testing Services Built for Real Production Environments

Structured evaluation frameworks for enterprise AI systems

LLM Evaluation & System Review

Deep evaluation of GPT, Claude, Gemini, Llama, and custom enterprise LLMs across long-session workflows and multi-turn scenarios.

Long-session behavioral consistency testing
Multi-turn reasoning validation
Workflow-level reliability analysis
Context retention assessment
Enterprise use-case stress testing

We simulate real user behavior over time to uncover issues that short evaluations miss.

Bias Detection & Fairness Validation

Structured demographic and contextual bias evaluation to ensure equitable model behavior across diverse user groups.

Demographic sensitivity testing
Decision fairness validation
Stereotype pattern detection
Cultural robustness testing
Bias remediation recommendations

Protect brand trust and regulatory alignment through measurable fairness insights.

Hallucination & Reliability Testing

Identify fabricated information, confidence misalignment, and output drift across repeated interactions.

Factual consistency checks
Cross-prompt drift detection
Source validation analysis
Confidence calibration review
Reproducible issue documentation

Reduce reputational and operational risk before deployment.

Compliance & Safety Validation

Evaluate AI systems against internal governance policies and regulatory standards such as GDPR, HIPAA, and SOC 2.

Regulatory compliance validation
Safety & toxicity testing
Data privacy exposure checks
Ethical AI alignment review
Enterprise risk documentation

Deploy with confidence knowing your AI meets safety and compliance expectations.

Why AI Teams Partner With Us

Testing built around real-world behavior, not static benchmarks

Workflow-Based Evaluation

We test AI inside simulated production workflows, exposing issues that short demo prompts never reveal.

Structured ASR Feedback

Clear, reproducible AI System Review reports with prioritized issues and actionable recommendations.

Developer-Led Testing

Our team understands repositories, prompts, APIs, and real engineering constraints.

Confidential & Secure

Your AI models, prompts, and workflows remain fully confidential.

What AI Teams Say About Working With Us

Trusted by AI-first companies operating in real production environments

"Acadify evaluated our code AI models under real repository workflows and long-session usage. Their structured AI System Review helped us uncover subtle edge cases and behavioral inconsistencies that internal testing didn’t surface. It significantly improved our production reliability."

Engineering Leadership

Magic AI

"The team didn’t just test our AI system - they simulated real user behavior over time. Their detailed feedback revealed reliability gaps and trust issues that could have impacted adoption post-launch. The ASR report was clear, structured, and immediately actionable."

Product Team

Krustha AI

"For our generative image platform, Acadify analyzed consistency across repeated creative workflows. They identified drift and subtle behavioral patterns that affected output predictability. Their real-world testing approach helped us strengthen long-term user confidence."

Core Team

Mihu – AI Image Platform

"Acadify’s production-level AI testing ensured our application behaved reliably under sustained usage. Their workflow-based evaluation exposed performance gaps and edge cases before our users experienced them."

Engineering Team

Blueribbon Solution

"Acadify helped us evaluate our AI workflows beyond surface-level accuracy metrics. Their real-world simulation uncovered subtle reliability gaps and edge-case behavior that would have affected enterprise users. The structured ASR feedback gave our engineering team a clear roadmap for improvement."

AI Engineering Team

Stealth Company

"What stood out was their focus on long-session usage and workflow consistency. Acadify didn’t just test prompts — they evaluated how our AI system behaved under real operational pressure. Their production validation significantly improved predictability and internal confidence before launch."

Product & Engineering Leadership