Data annotation for your industry, labeled by people who know the field

Every industry has its own edge cases, vocabulary and rules. We build a dedicated team and labeling guide for yours, so annotations match how your experts actually see the data.

  • NDA before you share a file
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Industries we serve

Jump to the sector closest to yours. Each one links to the annotation services it relies on most.

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Autonomous vehicles and mobility

Safe self-driving starts with labels you can trust in every frame, at every distance, in every weather condition.

  • 2D bounding boxes
  • 3D cuboids
  • LiDAR point clouds
  • Lane and polyline
  • Sensor fusion
  • Pedestrian, cyclist and vehicle detection across camera and LiDAR
  • Object tracking with consistent IDs across long video sequences
  • Rare edge cases: night driving, rain, glare, construction zones, boda bodas and handcarts

Related: LiDAR & 3D annotation · Video annotation

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Healthcare and medical imaging

Give diagnostic models the precision clinicians expect, with annotations made under strict access controls and reviewed by specialists where your project needs them.

  • Pixel segmentation
  • DICOM and 3D volumes
  • Clinical NLP
  • Pathology slides
  • Tumour, lesion and organ segmentation in CT, MRI and X-ray
  • Cell counting and tissue classification on whole-slide images
  • Entity extraction from clinical notes, de-identified before annotation

Related: Image segmentation · Clinical text annotation

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Retail and e-commerce

Sell more with smarter search, accurate catalogs and shelves that report on themselves.

  • Product tagging
  • Attribute extraction
  • Shelf detection
  • Search relevance
  • Planogram compliance and out-of-stock detection from store photos
  • Colour, material, style and fit attributes for large catalogs
  • Relevance ratings that improve product search and recommendations

Related: Image annotation · Product descriptions

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Agriculture and agritech

Help growers do more with less, from spotting a single weed to forecasting a whole season’s yield.

  • Drone imagery
  • Keypoints
  • Polygons
  • Multispectral
  • Weed and crop separation for precision-spraying robots
  • Disease, pest and nutrient-stress detection on leaves
  • Fruit counting and ripeness grading for yield prediction

Related: Polygon segmentation · Agritech case study

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Geospatial and satellite

Turn raw aerial and satellite imagery into maps, insights and decisions you can act on.

  • Building footprints
  • Land-use classes
  • Change detection
  • SAR imagery
  • Building, road and infrastructure extraction for mapping
  • Damage assessment after floods, fires and storms
  • Land cover, deforestation and urban growth monitoring

Related: Image annotation · Kenya’s GIS talent

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Finance, banking and insurance

Automate the paperwork your teams dread, with extraction models trained on accurately labeled documents.

  • Document OCR
  • Key-value extraction
  • Named entities
  • Sentiment
  • Invoices, claims, KYC forms and bank statements, field by field
  • Fraud and anomaly labeling on transactions
  • Sentiment and intent tagging for customer conversations

Related: Document data extraction · Back-office outsourcing

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Manufacturing and robotics

Catch defects before your customers do, and give robots the spatial understanding to work safely.

  • Defect detection
  • Instance segmentation
  • Pose estimation
  • Video events
  • Scratch, dent, crack and misalignment detection on production lines
  • Grasp points and object pose for pick-and-place robots
  • Worker safety and PPE compliance in factory video

Related: Image annotation · Video event tagging

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Generative AI and LLMs

Make your model more helpful, more accurate and safer, with trained human feedback at scale, including in African languages.

  • RLHF preference ranking
  • Fine-tuning data
  • Red-teaming
  • Speech and audio
  • Side-by-side response ranking and rubric-based evaluation
  • Custom prompt-and-answer datasets written by trained reviewers
  • Safety testing and fact-checking in English, Swahili and more

Related: LLM evaluation & RLHF · LLM evaluation case study

From first sample to full production

No long onboarding and no guesswork. This is how most partnerships begin.

  1. Share your goals

    Tell us about your model, data type and quality bar. We sign an NDA before you send a single file.

  2. Run a pilot

    We label test data against your guidelines and return them with an accuracy report in about five business days.

  3. Scale with confidence

    Your dedicated team grows with your volume, with multi-stage review on every batch.

  4. Receive ready data

    Files in COCO, YOLO, Pascal VOC, JSON or your custom format, straight into your pipeline.

Why teams choose us

  • Domain-trained annotators

    Your project is staffed by people trained in your field, from radiology to retail, not a rotating anonymous crowd.

  • Quality you can measure

    Consensus labeling, expert review and gold-set audits, with accuracy reported on every delivery. Our QA checks.

  • Security built in

    Encrypted transfer, role-based access and data-processing agreements, aligned with the Kenya Data Protection Act and GDPR.

  • Pricing that fits

    Pay per label, per hour or per project, with clear quotes and no setup fees. Contact us for details.

Industry questions

Do your annotators have domain knowledge?

Every project gets a dedicated team trained on your field’s vocabulary, edge cases and rules. Where a project needs specialist judgement, such as agronomy or clinical review, we bring in qualified reviewers and route low-confidence labels to them.

Can you work with regulated data like medical images or KYC documents?

Yes, with controls agreed before any data moves: a data-processing agreement, de-identification where possible, named personnel and restricted workspaces. See our security page.

Which industry is the best fit for a pilot?

Any of them. Running a pilot on your real data is the fastest way to confirm guidelines, tooling and quality before you scale.

See the difference on your own data.

Send us a sample and we’ll label it in pilot phase. If the quality isn’t better than what you have today, you owe us nothing.

We reply within one business day.