Agent evaluation, RL environments, and model eval – from the same expert network frontier labs rely on, sized for startups.
Your use case, your rubrics, a matching expert bench.
A small batch first – IAA, gold-set results, item-level QA.
A standing cadence, with direct access to the team.
Continuous feedback and iteration
Four kinds of work, with one expert team and one platform behind all of them.
Three stages, and each one produces something you can inspect.
We start from your use case, rubrics, and quality bar, then assemble a reviewer bench to match. You see who the experts are before any work begins.
Work opens with a small batch, measured before anything scales: inter-annotator agreement, gold-set accuracy, item-level review. If the numbers fall short, we fix the process first.
Batches ship on a standing cadence and are measured the same way every time. Your team works directly with ours, and guideline revisions take effect in the following batch.
The same platform our frontier-lab customers run on – set up for your task without taking engineering time from your team.
Interfaces fully customized to any task and combination of data types – text, image, audio, or video – in seconds, so complex datasets never wait on tooling.
Human annotators augmented with AI in one workflow – model pre-labels and flags, experts judge and correct. Faster, more consistent dataset creation.
Code execution, database queries, guardrails, and routing between multiple experts – orchestration for pipelines that plain annotation tools can’t express.
The startups below run on the same expert network and QA infrastructure as our frontier-lab customers.
We evaluated several vendors on a calibration batch before committing. SuperAnnotate was the one whose QA reports we could actually verify item by item – that settled it.
Our guidelines changed weekly as the product evolved. Their team absorbed every revision into the next batch without us having to re-explain the use case each time.
Bring one use case and your rubrics – the first QA report will tell you whether we’re the right fit.