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AI — AI Operations
Accelerate AI Development and Improve Data Workflows With AI Operations Services
Training and refining AI models in-house requires specialized talent, rigorous QA, and the ability to scale data operations on demand. Dedicated AI operations teams deploy in 30 days, trained on your data requirements and quality standards from Day One.
AI models are only as good as the data that trains them. Poorly labeled datasets, inconsistent annotation standards, and backlogs in data processing slow down development cycles and degrade model performance. Hiring and managing an in-house data operations team means competing for specialized talent, building QA infrastructure, and carrying fixed costs whether your data volume is steady or spiking.
Trained annotation and data processing teams from iQor deliver the accuracy and consistency your AI models require, without the cost and complexity of building those capabilities in-house. infinityAiQ™, iQor's proprietary AI platform, monitors 100% of output so errors are caught before bad data reaches your models, driving a 70% error reduction. ISO 27001:2022 and SOC 2 Type II certifications keep your data protected. With 80B+ tokens processed monthly and 96% of outcomes achieved across all client KPIs, you get fewer errors in your training data and no delays slowing down your AI team.
Where AI Operations Deliver Results
70%
error reduction across AI operations teams — so the data reaching your models is cleaner, more consistent, and ready to train on.
96%
of outcomes achieved across all client KPIs, reflecting annotation accuracy, turnaround standards, and quality consistency.
500%
scalability to absorb spikes in data volume during model training cycles, product launches, or new data collection initiatives without compromising accuracy.
Trusted by Leading Brands
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Services
Power Every Stage of Your AI Workflow With AI Operations Outsourcing
Building and managing AI data teams in-house means competing for specialized talent and carrying fixed costs between projects. iQor's AI operations teams deliver the data your models need and support the systems that run them. infinityAiQ™ accelerates training with personalized AI coaching and monitors output in real time to keep accuracy consistent across every dataset.
AI Process Development
End-to-end design of data workflows, annotation guidelines, and quality assurance frameworks tailored to your AI development pipeline. Structured processes that turn raw data requirements into repeatable, auditable operations your engineering team can rely on.
AI Systems Training & Implementation
Dedicated teams that support the training, testing, and deployment of your AI systems. From model fine-tuning to production validation, our specialists understand your data architecture and work alongside your engineering team to get models into production faster.
Data Collection (Maps, Search, Ads, Social)
Structured data collection across maps, search results, advertising platforms, and social media channels. Trained collectors who follow your specifications and compliance requirements to deliver clean, usable datasets at the volume your models need.
Data Cleansing & Analysis
Identification and correction of errors, duplicates, and inconsistencies in your existing datasets. Analysts who prepare your data for model training by ensuring accuracy, completeness, and proper formatting before it enters your pipeline.
Transcription Services
Audio and video transcription delivered by trained specialists with accuracy standards built for AI training datasets. Multilingual capabilities and structured formatting that turn recorded content into machine-readable data your models can learn from.
Awards & Recognitions
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Here's What Working With Us Looks Like in Practice
Knowledgeable
Data annotation and processing specialists trained on your labeling guidelines, taxonomy, and quality standards before they touch a single dataset. Built for your AI development requirements, not shared across unrelated projects.
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Aligned
A dedicated ops leader who understands your data pipeline and AI model training cycles. One point of ownership with consistent reporting on volume, accuracy, and turnaround times.
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Visible
Real-time dashboards tracking annotation accuracy, output volume, QA pass rates, and turnaround times across every data type and project.
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Fast
Trained AI operations teams deployed in 30 days. When volume spikes, 500% scalability keeps your projects moving without delays.
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What Our Clients Are Saying
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Tell Us Your AI Data Challenge, and We'll Show You How We've Solved It Before
Share your biggest AI operations challenge — whether it's annotation backlogs, inconsistent data quality, or scaling your data team for a new training cycle — and we'll match you with a team and a deployment timeline.
Case Studies & Trends
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Every stage powered by AI — from first hire to higher performance.
Start with insights. Build toward outcomes. Scale what works.
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FAQ
We Read Your Mind & Made This FAQ
