IntouchCX
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AI Services

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Annotation

High-quality, human-labeled data is essential for effective content discovery. Our experts deliver the precision and insight AI models necessary to surface content that resonates. Our annotation solution extends across platforms at large, including knowledge bases and website content. From sharpening search relevance to expanding geo-tagging, improving recommendations, and driving deeper user engagement, we provide precise labeling, classification, and validation that ground AI systems in real-world context and meaning.
Case Study

Case Study

Partnering with a leading travel platform, we transformed how AI selects resort imagery. Through expert human annotation—focused on image quality, subject matter, and aesthetic value—we ensured the AI prioritized visuals that authentically showcased accommodations, amenities, and atmosphere. The result? Sharper content discovery, higher user engagement, and increased click-through rates throughout the search and booking journey.

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Model Training & Fine-Tuning

In fast-moving environments, static AI models fall behind. Continuous learning and adaptation is a necessity. Our Human-in-the-Loop (HITL) services deliver the expert intervention required to train, fine-tune, and elevate AI performance with domain-relevant, high-quality data. By embedding human judgment into the model development cycle, we ensure your AI adapts to emerging trends, edge cases, and platform-specific intricacies—staying accurate, safe, and aligned with business objectives.

Our teams are built for precision. From expert data labeling to contextual interpretation and structured feedback, we feed directly into your model improvement pipelines. Whether you're tackling harmful content detection, reducing decision-making bias, or simply optimizing relevance and reliability, we provide human intelligence at every stage of your model’s lifecycle.. The result? Smarter, safer, and more adaptive AI—driving trust, minimizing errors, and keeping your systems future-ready.

Case Study

Case Study

A Fortune 500 software company partners with WebPurify analysts on its GenAI models. We carefully review their image training datasets to help avoid potential intellectual property and compliance issues. For instance, our analysts make sure that images with specific logos are rejected so the AI is less likely to use them when generating synthetic media in the future.

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AI Output Verification

As AI adoption accelerates, so does the risk. Scaling responsibly means putting rigorous human oversight in place to ensure every output meets your quality, safety, and compliance standards.As organizations scale their use of AI, ensuring the quality, safety, and compliance of AI-generated content becomes a critical need. Our AI Output Verification services provide expert human oversight to review and validate outputs across text, images, and video—ensuring they meet corporate policies and regulatory requirements.

Our experts play a central role in this process, verifying that AI-generated content aligns with your brand voice and adheres to legal, ethical, and platform specific guidelines. We assess content for accuracy, quality, and tone, while also flagging violations related to intellectual property, misinformation and harmful material. The result: safer, smarter and more responsible AI.

Case Study

Case Study

A leading stock content platform empowers creators to use generative AI—but with commercial freedom comes compliance risk. To protect its brand and ensure portfolio integrity, the company relies on our experts to review AI-generated images before they go live. Our analysts enforce strict content guidelines, rejecting submissions that infringe on intellectual property, promote harmful material, or fall short of quality standards. Every approved asset is vetted for safety, originality, and brand fit. The result? A scalable GenAI pipeline that stays compliant, protects the platform’s reputation, and delivers content buyers can trust.

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Red Teaming & Optimization

Generative AI systems are increasingly targeted by bad actors seeking to exploit model behavior in unexpected or harmful ways. Our Red Teaming services simulate real-world adversarial scenarios to uncover vulnerabilities before they can be abused at scale.

By emulating the tactics of malicious users—from prompt manipulation to content evasion—we expose hidden weaknesses in your models and surface patterns of potential exploitation. Our experts assess how your AI systems respond under pressure, identifying where guardrails may fail, outputs may become unsafe, or policies may be circumvented. This is proactive AI security. By identifying weak points early, we give your teams the intelligence needed to reinforce safeguards, tighten alignment, and reduce risk—before the threats become real.

Case Study

Case Study

A leading AI company relies on our expert analyst team to safeguard its text-to-image generation pipeline. Our experts serve as a critical human layer, reviewing prompts in real time to detect and escalate malicious behavior before it causes harm. They identify and escalate attempts by bad actors to exploit the system or bypass policies. For example, a malicious user might start with harmless prompts that avoid AI detection, then use follow-up prompts to modify the image into something inappropriate. Our team is trained to spot these subtle escalations and intervene before the system is compromised.

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