FIG 02Service catalogue

Five service lines. One trained workforce. One quality system.

TBL 00Delivery windows
Live
In-game
Same-day
24h
Standard
72h
Batch
Weekly
01Annotation

Video & Image Annotation

Bounding boxes, polygons, segmentation masks, key points and tracking identities, labelled to your schema by analysts trained on your task rather than on a generic tutorial.

Work is specified against a written labelling standard, so a decision made by one analyst matches the decision another would make on the same frame.

Every project opens with a gold set annotated by senior QC, and a sample of every batch is independently double-annotated so agreement is measured rather than assumed.

Typical engagements
  • Dataset projects
  • Per-batch delivery
  • Ongoing capacity
02Ground truth

Ground Truth & Datasets

Reference-grade datasets for training and for evaluating what you already ship. The distinction matters: an evaluation set is only useful if you can defend how it was made.

Deliveries arrive in your format with a per-batch quality report attached, covering agreement scores, first-pass accept rate and the error classes that showed up.

Where a schema is still moving, we run a small calibration batch first and hold the standard steady from there.

Typical engagements
  • Training sets
  • Evaluation sets
  • Schema calibration
03Model QA

Model QA & HITL Correction

Your model's output, verified and corrected by trained reviewers. We review predictions against the source footage, fix what is wrong, and file each error against a documented taxonomy.

The correction stream doubles as an evaluation set: you learn where the model fails and how often, not just that it failed.

Review volume can scale with a release cycle and drop back between them, so the cost follows the work.

Typical engagements
  • Per-batch review
  • Monthly retainers
  • Release-cycle surges
04Live operations

Live Data Operations

Event collection and structured data production from live feeds, around the clock. Analysts work the feed as it happens and push structured events into your pipeline on your schema.

Shifts are staffed against your calendar, so coverage follows the workload rather than office hours. Every position is backed by a trained substitute.

When a feed drops, the shift lead escalates and the batch is reconciled once it returns.

Typical engagements
  • Per-event packs
  • Continuous coverage
  • Monthly retainers
A dark operations room seen from behind the desks, monitors showing indistinct data displays
05Managed capacity

Managed Capacity

White-label delivery under your workflow and your tools. Your process stays yours; we supply the trained people, the shift management and the quality layer.

Analysts are trained on your platform through our academy and certified before they touch production work.

Capacity is planned openly, so you know what a team can absorb before you commit to it.

Typical engagements
  • Dedicated teams
  • Overflow capacity
  • Monthly retainers

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