How Acquirox works

One managed process from task design to contributor execution, quality assurance, and final delivery.

AI Data Collection & Labeling

Colletion first, from your spec
You define what needs to be captured – modality, geography, device, scenario, output format. We recruit and brief verified contributors against that spec and return structured datasets. 18M+ contributors across 150+ countries, so coverage is a scoping question, not a recruitment problem.


POV and egocentric datasets
First-person video and audio captured by real people in real environments. You set the scenario list, camera position, duration, and consent requirements. We handle contributor sourcing, capture instructions, and QA on every submission before it reaches you.


Labelling on the same network
Annotation on what we collect, on your existing raw data, or on off-the-shelf datasets you already hold. Text and NLP, image and video, audio and speech, search relevance, and RLHF preference. You define the rubric, we calibrate and execute. Every output runs through multi-tier verification – 3-5 contributors per data point, disagreements resolved algorithmically against golden-set benchmarks, with expert audit on flagged and edge-case items.


Model-ready output, in your format
Output comes in JSON, CSV, COCO, XML, or Parquet, via API push or direct export to your ML pipeline. It plugs into your existing stack without follow-up questions or reformatting on your end.

App Growth, Social Growth, Research Panel

One managed process, from brief to scale
You brief the task type, target market, and volume. We calibrate with a small pilot, then scale – fully managed from brief to reporting.


Test in days, then scale on demand
A campaign is tested in a few days before scaling – a real pilot, not a vague promise of speed. Once results hold, volume scales with elastic capacity, adjusted on demand. You see quality before you commit to volume.


Proof that every action is real
Every completion is tracked and validated, not estimated. Each action is completed by a real, verified person from the contributor network – no bots, no synthetic completions, no empty impressions.

Contributor Network for Labeling Platforms

Contributor scale, plugged into your existing pipeline
You define the task and quality bar in your own system. We deploy verified contributors directly into it – no separate tooling required on your end. Nothing is migrated, nothing on your side is replaced. Acquirox fills capacity, powering your pipeline rather than displacing your platform.


Capacity that adjusts to project volume
Scale contributor capacity up or down as demand changes. We calibrate contributors to your task specs, track performance, and fill delivery gaps without adding permanent headcount or building internal workforce operations.

You keep the client and the delivery
The client relationship, platform, QA process, and final delivery stay with your team. Acquirox operates as the workforce layer behind your service – supporting your capacity without displacing your platform or competing for your clients

Your team has better things to do​​

Four service lines, one verified contributor network. Managed end to end.

FAQ

We deliver AI data collection, POV and egocentric datasets, raw dataset preparation, multimodal labeling, app growth, social growth, and research panel services through one managed contributor network. You define the task, we handle contributor deployment, QA, and delivery.
A verified global contributor network spanning 150+ countries, powered by the JumpTask network. Every contributor is authenticated before a task reaches them - no bots, no anonymous delivery, no synthetic completions.
BPOs are built for long fixed contracts and slow onboarding. Raw crowd platforms are fast but unmanaged, with no verification. Acquirox sits in between - the speed of a platform with the quality of a managed service, and every action completed by a verified human.
Multi-tier QA on every project. For labeling, that means multiple contributors per data point, disagreements resolved against golden-set benchmarks, and expert audit on edge cases. For growth and research, every action is tracked and validated, not estimated.

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