AI Ops Support
Built for early-stage AI teams who need flexibility, not overhead.
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We provide smart, embedded human-in-the-loop teams — from data labeling and output QA to user feedback tagging and onboarding — so you can iterate faster without building out an internal ops team. Perfect for companies still figuring things out and moving fast.
Service Highlights
Whether you're still working in spreadsheets or refining your workflows, we meet you where you are and provide the specialized talent your AI product needs.
1
Data Annotation
High-quality labeling and annotation for training data across text, image, and multimodal datasets. We source domain experts who understand your specific use case—whether that's real estate professionals tagging property data or CAD designers labeling technical blueprints. Our team works in whatever system you're using, from spreadsheets to custom tools.
2
Model Output QA
Human review and quality assurance for AI-generated outputs to catch edge cases and improve model performance. We help you identify patterns in failures, refine your evaluation criteria, and build feedback loops that make your models better over time. Perfect for teams still defining what 'good' looks like.
3
Feedback Tagging
Systematic classification and tagging of user feedback to inform product iteration and model improvements. We help you structure messy feedback data, identify common themes, and translate user pain points into actionable insights. Our team adapts as your tagging taxonomy evolves.
4
Customer Onboarding for AI Products
Guide early users through setup, training, and troubleshooting to create smooth adoption experiences. We handle everything from initial walkthroughs to ongoing support, freeing your team to focus on product development. Especially valuable when your AI product needs hands-on explanation or behavior adjustment