Trusted by AI Teams
How AI teams use Yenda to launch faster and hold quality at scale.
From Single Task to Multi-Step Operation
Scoped as a single annotation task, but the edge cases meant one step would produce inconsistent labels at scale.
Quality Held at Volume
A visual product search model needed products matched accurately across categories, at high volume. When the team grew quickly to meet demand, quality dipped.
Human Validation for Enterprise AI Agents
Reindeer AI's agents process business documents for enterprise customers. Every classification and extracted field had to match the source exactly, with no assumptions.
KinnuA GenAI Content Team, Live in 3 Days
Kinnu, a London ed-tech start-up, builds gamified learning pathways of around 16,000 words and 60–100 images each. Its head of content was spending most of his week producing content instead of on higher-value work.
Robot Actions at Every Level of Detail
A collaborative robotics client needed episodes broken into actions, with frame-accurate timing and strict, consistent language.
Accurate Cell Labelling, by Medical Students
SuperAnnotate's model produced first-pass cell segmentations on microscopy images, but with errors and missed cells. Fixing them takes real knowledge of cell structure and cell types.
Specialist Architects, Consistent Output
Firmus.ai's AI reviews construction drawings for design errors and risk. Training it takes people who read drawings like architects.
Training Models to Identify Citrus
Aerobotics forecasts fruit size and yield for growers, packers and marketers. Its models need citrus fruit labelled accurately in real-world imagery, where fruit is easy to miss and hard to tell apart.
Two Transcription Standards, One Team
Verbit.ai needed transcripts in two very different styles, clean-read and verbatim, plus caption evaluation, all held to strict style rules.
3.5 Million Objects Tracked, at 99% Quality
A confidential client needed people detected and tracked frame by frame across thermal video, with incidents marked accurately.