Frequently Asked Questions
Everything you need to know about our human-in-the-loop infrastructure, multi-stage quality control pipelines, and scaling workflows.
Onboarding & Teams
How we spin up pods and scale operations.
How fast can you onboard a new data project?
Most pilots ship within 24 hours. We map your taxonomy, set up the initial workforce pods, and validate guidelines against a small test batch to ensure alignment before scaling.
Do you have a minimum project size or commitment?
No. We can always start with something smaller so you can see what we're capable of and how well we understand the rules before we begin a long-term project.
How are your remote project teams structured?
We deploy calibrated workforce pods managed by dedicated delivery leads. This structure ensures strict adherence to submission rules, eliminates management overhead on your side, and keeps throughput consistent.
Quality & Modalities
Our approach to precision across various data types.
What data modalities do your teams support?
We support a wide array of high-stakes modalities: multi-turn LLM roleplay, RLHF preference ranking, text transcription, audio/video segmentation, 3D cuboid mapping, and custom image pixel-labeling.
How do you maintain high data accuracy and quality control?
We use a multi-stage verification guideline. Every asset passes through automated validation scripts, inter-annotator agreement (IAA) metrics, and senior QA reviewers who adjudicate edge cases before final delivery.
How do you handle updating guidelines mid-project?
Data operations are iterative. When edge cases appear, our team recalibrates guidelines within 12 hours, updates the workforce training modules, and runs delta-reviews on already processed assets if necessary.
Security & Expertise
Confidentiality, compliance, and domain knowledge.
Can your teams handle specialized domains like legal or medical data?
Yes. We have a dedicated network of vetted contributors, including licensed clinicians, legal analysts, and tech specialists who are explicitly trained to handle complex, regulated, or high-stakes datasets.
How do you handle data security and confidentiality?
Security is non-negotiable. All team members sign strict NDAs, and operations are conducted within secure, access-controlled data environments or directly inside your proprietary tooling via secure access integrations.
Have a custom workflow scenario?
Whether you need daily processing of media assets, specific transcription guidelines, or structured evaluation rubrics — we can build a calibrated team model for your pipeline.