Enhance AI Accuracy with
Expert Data Labeling
Power your AI with expertly labeled data and high-quality datasets—built for accuracy, speed, and scalability.
Boost model performance, eliminate bias, and accelerate AI development with the perfect blend of human expertise and intelligent automation.
Trusted by Bold Brands Redefining CX
The Future of Data, Powered by AI & People
Our AI-driven, human-empowered approach to data labeling and AI model training accelerates AI development with precision and efficiency. By combining cutting-edge AI automation with expert human annotators, we deliver high-quality labeled data that powers the next generation of AI applications.
Unlike traditional data labeling services, we seamlessly integrate AI-assisted annotation, real-time quality control, and scalable human review to ensure accuracy, consistency, and rapid turnaround.
AI That Works
With Humans
We amplify human expertise with AI-powered tools, reducing manual effort while maintaining the precision needed for high-quality training data. This ensures AI models are built on reliable, bias-free, and accurately labeled datasets.
Smarter, Faster, and More Reliable Data
Our proprietary AI-driven workflows speed up annotation while improving consistency. By automating simple tasks and flagging complex cases for human review, we strike the perfect balance between efficiency and accuracy at scale.
Turning Data Into an Advantage
We don’t just label data—we analyze it. Our AI-powered insights enhance data quality, identify inconsistencies, and refine AI model performance, ensuring businesses get the best possible results from their training datasets.
Data Solutions That Grow With You
From startups training their first AI models to enterprises managing massive datasets, our flexible, outcome-based approach scales with your needs. Whether it’s image, text, audio, or video annotation, we provide the accuracy and speed AI development demands.
How We Implement
our AI & Data solutions
Training & Nesting
Building high-quality AI models starts with precise data. As we train and nest human data annotators, we simultaneously document labeling guidelines, edge cases, and quality control measures to train SmartAgent CoPilot. This ensures that AI learns alongside human teams, assisting with annotation tasks and improving consistency from day one.
Production
Once human annotators are onboarded, they begin labeling real datasets while SmartAgent CoPilot is deployed to assist. AI accelerates the process by pre-labeling data, flagging inconsistencies, and automating repetitive annotations—enhancing both efficiency and quality control.
Results
As AI adoption increases, we track its impact through key data quality and efficiency metrics. The goal is for AI-assisted teams to achieve a minimum 70% AI Usage Score, leading to measurable improvements such as faster annotation cycles, reduced labeling errors, and increased dataset accuracy—driving at least a 20% efficiency gain.
Scaling
Once AI demonstrates consistent success in one dataset or labeling task, we expand its role. By applying the same structured approach, we scale AI-assisted labeling across new data types, industries, and annotation workflows—ensuring continuous improvements in speed, accuracy, and scalability.
Increase AI Adoption,
Decrease Labeling Errors
- It’s That Simple
The key to faster, more accurate AI model training? Higher AI adoption in your data labeling operations.
At XtendOps, we measure AI usage with our AI Usage Score—a real-time metric that tracks how much AI-powered assistance your teams are leveraging for annotation, validation, and quality control.
When the AI Usage Score consistently exceeds 70%, the impact is undeniable:
Quality Assurance
Reduced Operational Costs
Increased Productivity
Built by the people
who will use it everyday
Designed alongside the teams who rely on it, our technology seamlessly integrates into real operations, enhancing efficiency, decision-making, and scalability.
With modular AI, real-time adaptability, and human oversight, we create intelligent systems that evolve with your business—driving continuous improvement and measurable outcomes.
Leverage the best model
for every task
Our approach is LLM-agnostic, seamlessly integrating with all major closed and open-source providers—dynamically switching models based on performance, cost, and your specific needs.
A powerful no-code interface designed for simplicity
Build, deploy, and refine Smart Agents effortlessly—enabling automation, streamlining workflows, and enhancing CX without technical complexity.
Your AI-powered workforce
Smart Agents are specialized AI-powered assistants designed to handle defined use cases—automating workflows, optimizing processes, and delivering real impact.
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Your AI-powered
command center
Our Insights dashboard gives you real-time access to performance data and key metrics—so you can track, optimize, and refine Smart Agent operations effortlessly.
The missing link between AI implementation and results
AI Ops teams bridge the gap between AI potential and real-world impact—fine-tuning automation, accelerating efficiency, and guaranteeing ongoing quality.
Keeping AI accountable
Our AI Safety framework combines human-in-the-loop QA and certified processes to ensure accuracy, fairness, and compliance—keeping AI aligned with real-world expectations.
“I am very confident about the team that we’ve built and their consistency in delivery. We’ve been very successful because of that long-term continuity. Xtendops is the best and easiest people to work with in the industry.”
Ready to Rethink
How You Run CX?
We get it — the old way isn’t cutting it anymore.
Let’s explore what your next CX model could look like: leaner, smarter, and built to deliver results you can actually feel.