Our next-gen testing is built for the AI era – to launch, scale and govern AI with confidence.
We are a 100% AI-enabled QE partner. We help you validate everything from LLMs and autonomous agents to IoT and computer vision models, ensuring your next-gen intelligent systems are trustworthy, explainable, and enterprise-ready.
Next-Gen Testing
AI Model Validation
LLM Validation
Computer Vision Testing
Agentic Workforce Validation
AI-Powered Test Automation
IoT Testing
AI Model Validation
Test Large Language Models (LLMs), machine learning pipelines, and agentic AI systems to ensure that they are not just performant but ethical, transparent, and production-ready. We validate not just outputs, but the entire decision-making ecosystem, ensuring that models are trained on high-quality and drift-resistant data, free from unintended bias, reliable under edge-case scenarios, and are compliant with responsible AI standards.
LLM Validation
Audit LLMs to make sure they are consistent, safe, policy-aligned, and enterprise deployable. Proactively eliminate risks of AI hallucinations, data leaks, and unsafe/off-brand outputs.
Zuci uses prompt-as-code testing harnesses such as golden prompt sets, semantic similarity scoring, hallucination detection, conducts guardrail compliance testing enforcing confidence thresholds and adversarial prompt defense, and runs regression testing to track changes across model or prompt versions.
Computer Vision Testing
Ensure that vision systems remain accurate, fair, and robust in real-world conditions. Vision models tuned in labs fail in production when lighting, occlusion, or noise shifts. Zuci handles edge-case simulation, cross-device validation for edge/embedded deployments.
Agentic Workforce Validation
Build an agentic workforce that is reliable, safe, and aligned to enterprise guardrails.
Prevent AI agents getting stuck in endless loops, eliminate chances of agents misapplying rules, and ensure governance and compliance. Zuci’s services include functional QA scenarios for edge cases, invalid inputs, escalation logic, multi-agent orchestration validation, memory validation, and guardrail compliance.
AI-Powered Test Automation
Legacy test automation can’t keep pace with dynamic, AI-powered applications. Scripts break, coverage lags, releases stall. Zuci’s provides AI-powered test design for faster authoring, self-healing automation to reduce maintenance, intelligent release readiness scoring, and anomaly detection services to help create a test automation layer that is adaptive, resilient, and accelerates delivery.
IoT Testing
Validate advanced AI applications and automate decision-making engines and ensure IoT ecosystems that are secure, interoperable, and field-ready. Avoid failures in production by simulating real-world stressors, and validate firmware end to end.
AI Model Validation
Test Large Language Models (LLMs), machine learning pipelines, and agentic AI systems to ensure that they are not just performant but ethical, transparent, and production-ready. We validate not just outputs, but the entire decision-making ecosystem, ensuring that models are trained on high-quality and drift-resistant data, free from unintended bias, reliable under edge-case scenarios, and are compliant with responsible AI standards.
LLM Validation
Audit LLMs to make sure they are consistent, safe, policy-aligned, and enterprise deployable. Proactively eliminate risks of AI hallucinations, data leaks, and unsafe/off-brand outputs.
Zuci uses prompt-as-code testing harnesses such as golden prompt sets, semantic similarity scoring, hallucination detection, conducts guardrail compliance testing enforcing confidence thresholds and adversarial prompt defense, and runs regression testing to track changes across model or prompt versions.
Computer Vision Testing
Ensure that vision systems remain accurate, fair, and robust in real-world conditions. Vision models tuned in labs fail in production when lighting, occlusion, or noise shifts. Zuci handles edge-case simulation, cross-device validation for edge/embedded deployments.
Agentic Workforce Validation
Build an agentic workforce that is reliable, safe, and aligned to enterprise guardrails.
Prevent AI agents getting stuck in endless loops, eliminate chances of agents misapplying rules, and ensure governance and compliance. Zuci’s services include functional QA scenarios for edge cases, invalid inputs, escalation logic, multi-agent orchestration validation, memory validation, and guardrail compliance.
AI-Powered Test Automation
Legacy test automation can’t keep pace with dynamic, AI-powered applications. Scripts break, coverage lags, releases stall. Zuci’s provides AI-powered test design for faster authoring, self-healing automation to reduce maintenance, intelligent release readiness scoring, and anomaly detection services to help create a test automation layer that is adaptive, resilient, and accelerates delivery.
IoT Testing
Validate advanced AI applications and automate decision-making engines and ensure IoT ecosystems that are secure, interoperable, and field-ready. Avoid failures in production by simulating real-world stressors, and validate firmware end to end.
Bringing reliability to enterprise data ecosystems
We reimagined a global market research leader’s manual bid management operating model with an AI-driven bidding system, integrating automation, predictive forecasting, and human-in-the-loop decision-making to accelerate responses and boost win rates.
See how testing and validation made AI orchestration dependable at scale
2x
Faster bid responses
25%
Higher bid-to-win ratio
See how testing and validation made AI orchestration dependable at scale
Our Other Quality Engineering Services
Explore the entire range of our quality engineering solution offerings.
