Managed data operations
A run operation - team, shifts, quality controls, and compliance - not piecework you have to manage.
AI Operations Platform
Reliable AI data operations
Reliable AI data operations
running around the clock.
We own the people, process, and quality. You get model-ready results.
Gurzu delivers managed, human-in-the-loop data operations - video and image annotation, data labeling, and AI agent training data - so your models get clean, consistent, high-quality input without you building an in-house team.
- Human-in-the-loop
- 24/7 managed operations
- Engineering-led quality
- Zero overhead for your AI team
Human-in-the-loop
Skilled reviewers behind every model, from annotation to validation.
Round-the-clock coverage
Three overlapping shifts deliver true 24/7 turnaround.
Who it is for
Built for teams shipping real AI.
Wherever human judgement sits between raw data and a production model, we run that layer for you.
AI Security & Surveillance
Incident validation and false-alert suppression for detection engines.
Autonomous Systems & Mobility
Frame-by-frame video annotation for perception models.
Retail & Analytics
Identity, demographics, and behavior labeling at scale.
AI Product Companies
On-demand training and evaluation data for agents and models.
Proven at scale
Operating data, not promises.
217,595
Data operations processed in a peak week24/7
Coverage across three overlapping shifts9,185
False alerts accurately suppressed12+
Engineering-led specialists delivering at scale
What we do
From raw data to model-ready output.
Whatever stage your AI is at, we handle the human work behind reliable models.
Data Annotation & Labeling
- Precise labeling of video, image, and multi-format data
- Consistent, documented quality standards
- Frame-by-frame accuracy for perception models
AI Agent Training Data
- Curated datasets to train, fine-tune, and evaluate models
- Balanced labeled data for AI agents and vision models
- Evaluation sets that surface real-world edge cases
Incident Validation
- Review engine-flagged events as true or false
- Suppress false alerts before they reach your ops team
- Continuous feedback into detection accuracy
Data Tagging & Model Retraining
- Tag anomalies and edge cases as they emerge
- Feed structured signals back into retraining
- Measurable accuracy gains over time
Identity & Demographics
- Face-match verification and attribute estimation
- Re-identification tracking across footage
- Operated within a documented compliance framework
Why Gurzu
Why AI teams outsource operations to Gurzu.
A managed operation that removes the overhead of building and running a data team - so your engineers stay focused on the model, not the workforce behind it.
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Zero overhead
We own hiring, training, shift management, compliance, and devices. You receive clean output only - no team to build or manage.
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Round-the-clock coverage
Our timezone enables true 24/7 support for US and global markets, using overlapping shift models that never leave a gap.
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Engineering-led quality
Run by engineers, not a volume-only labeling floor. Quality controls are built into the process from day one.
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Cost-efficient at scale
A cost base that undercuts Western providers, without cutting corners on accuracy.
How we work
A managed service, not piecework.
A clear path from proving fit to running ongoing operations, reported transparently at every stage.
Pilot.
We run a small paid or free pilot on your real data to prove quality and fit.
Ramp.
We scale the team and shifts to your volume, with SLAs and quality metrics agreed up front.
Operate.
Ongoing managed operations on a recurring basis, reported transparently - throughput, accuracy, and turnaround.
Commercial model - a recurring monthly engagement, priced by throughput or dedicated capacity.
Quality & compliance
Quality and compliance you can defend.
Every workflow includes documented labeling guidelines, multi-pass review, and measurable accuracy targets. For sensitive work such as identity and demographics, we operate within a defined compliance framework covering data handling, access control, and privacy.
- Documented labeling guidelines
- Multi-pass review
- Measurable accuracy targets
- Access control & privacy
- NDAs & secure environments
FAQ
Questions, answered.
What types of data can Gurzu annotate?
How is this different from a standard data labeling vendor?
Can you support 24/7 or urgent turnaround?
How do you ensure quality?
How do we get started?
Put your AI data operations on autopilot.
Start with a pilot on your own data. We'll prove quality and turnaround, then scale to your volume - no in-house team required.
