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
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.
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.
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.
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.
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.
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.
Cleaning and structuring messy datasets, exploratory analysis, metrics and clear reporting — turning raw operational data into something you can read and act on.
Feature engineering, model prototyping, evaluation and error analysis — pragmatic support to move a model from promising to production, with domain context built in.
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.
Managed, collaborative annotation for large mixed datasets.
Flexible, scriptable tooling for complex CV and video work.
High-precision pipelines with strong automation support.
We work inside your tooling and access controls where required.
Standard detection and segmentation formats out of the box.
Schema-matched JSON and training-ready label files.
Point-cloud and cuboid formats for spatial models.
Mapped to whatever your training code already expects.
Share a representative sample and your quality bar. We'll label a pilot set, report the numbers, and scope the full project from there.