What we deliver

Four domains. One standard for ground truth you can trust.

From a single pilot batch to an ongoing pipeline, every engagement runs on the same foundation: a dedicated lead, domain experts matched to your field (doctors, biologists, engineers, financial experts, software developers and more), an agreed taxonomy, quality measured before delivery, and 10+ languages covered in-house.

01 / Computer vision

Computer vision annotation

Detection, tracking, segmentation and pose — labelled tightly and consistently across street scenes, retail floors, production lines and inspection footage. The kind of geometry that survives contact with a real model.

  • Bounding boxes, polygons, semantic & instance segmentation
  • Keypoints and pose for people, parts and structures
  • Scene-text regions and OCR transcription
  • Output in COCO, Pascal VOC, YOLO or your schema
CVAT annotation of urban street scene with bounding boxes for cars, pedestrians, traffic signs and road segmentation
02 / Satellite & geospatial

Satellite & geospatial imagery

Overhead and aerial imagery labelled for GEOINT and earth-observation pipelines. Footprints, land cover, infrastructure and vessels — annotated so geometry stays accurate across resolutions and revisits.

  • Building footprints, road networks and land-cover classes
  • Rotated boxes and polygons for vehicles, vessels and assets
  • Change detection across multi-temporal tiles
  • Multi-sensor and multi-resolution consistency
Geospatial annotation interface showing satellite imagery with building footprint polygons, road polylines and vehicle bounding boxes
03 / LLM & language

LLM & language data

Human data for language models — instruction and preference sets, response grading, red-teaming and safety review. Where the questions get specialised, our reviewers bring real backgrounds across medicine, biology, engineering, finance and software development — covering 10+ languages in-house.

  • SFT, instruction and preference data (RLHF / DPO)
  • Response grading against rubrics, and red-teaming
  • Classification, NER, transcription and RAG evaluation sets
  • Domain-expert review for medical, scientific and technical content
LLM response evaluation interface with highlighted text spans and rubric scoring panel
04 / Video & sequences

Video & sequence annotation

Frame-by-frame work with temporal consistency — persistent object IDs, action recognition and event boundaries. The hard part of video isn't a single frame; it's keeping identity and meaning stable across thousands of them.

  • Object tracking with persistent IDs and interpolation
  • Action and activity recognition across clips
  • Event-boundary and temporal-segment labelling
  • Designed for autonomous, security and behaviour models
CVAT video annotation interface with object tracking, persistent IDs and frame timeline
Beyond annotation

Data analytics & data science.

When a project needs more than labels, the same team can help you make sense of the data and stand up the models that use it.

ANALYTICS

Data analytics

Cleaning and structuring messy datasets, exploratory analysis, metrics and clear reporting — turning raw operational data into something you can read and act on.

  • data cleaning
  • EDA
  • dashboards
  • reporting
SCIENCE

Data science

Feature engineering, model prototyping, evaluation and error analysis — pragmatic support to move a model from promising to production, with domain context built in.

  • feature eng.
  • prototyping
  • evaluation
  • error analysis
Tooling & delivery

Your platform or ours — your format, every time.

We configure the right environment for your data type and hand back data that drops straight into your pipeline. No re-formatting on your side.

platform

Labelbox

Managed, collaborative annotation for large mixed datasets.

platform

CVAT

Flexible, scriptable tooling for complex CV and video work.

platform

SuperAnnotate

High-precision pipelines with strong automation support.

platform

Your stack

We work inside your tooling and access controls where required.

export

COCO / VOC

Standard detection and segmentation formats out of the box.

export

JSON / YOLO

Schema-matched JSON and training-ready label files.

export

PCD / 3D

Point-cloud and cuboid formats for spatial models.

export

Custom

Mapped to whatever your training code already expects.

Pilot-first, always

Tell us what you're training.

Share a representative sample and your quality bar. We'll label a pilot set, report the numbers, and scope the full project from there.

Start a pilot