Accurate Labels. Faster Models.
We help AI teams build production-ready datasets that improve model accuracy and reduce time-to-market. Image, video, text, audio, LiDAR — we annotate it all with rigorous QA and domain expertise.
🧮 +100,000 High-quality labels delivered for vision, audio & text.
Why Choose Us
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All-format expertise
Pixel-perfect image segmentation, bounding boxes, keypoints, semantic & instance segmentation, video tracking, LiDAR/3D, audio transcription, NER, and custom NLP annotation.
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Domain-focused teams
Annotators trained by industry — healthcare, automotive, retail, geospatial, robotics — so labels reflect real use-case nuance.
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Quality first
Multi-stage QA (inter-annotator agreement, consensus review, expert spot checks) and transparent accuracy reports.
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Security & compliance
SOC/ISO-ready processes, encrypted data transfer, and optional HIPAA/NDA workflows.
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Scale on demand
From one pilot project to hundreds of thousands of labels per week — flexible delivery models and dedicated teams.
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True Partnership Philosophy
We monitor each shipment’s progress, smooth out any bumps in the road, and nurture our broker relationships—so you can focus strictly on driving and delivering, while we secure even better rates for you down the line.
Our Services
Computer Vision
🔹 Bounding boxes, polygons, semantic & instance segmentation
🔹 Keypoint & pose annotation
🔹 Multi-object tracking (MOT) and video frame labeling
🔹 3D LiDAR point cloud labeling & sensor fusion
Natural Language Processing
🔹 Named entity recognition (NER)
🔹 Text classification & sentiment labeling
🔹 Intent classification, slot filling, and conversational data tagging
🔹 Transcription and time‑aligned text for speech models
Audio & Speech
🔹 Manual + semi-automatic transcription
🔹 Speaker diarization and labeling
🔹 Audio event detection and timestamped labels
Custom & Hybrid Workflows
🔹 Tool integrations (Label Studio, CVAT, Supervisely, Prodigy, VGG, SageMaker Ground Truth)
🔹 Model-in-the-loop, active learning, pre-labeling, and human validation
🔹 Ontology creation and annotation guideline development
Industries We Serve
🚗 Autonomous Vehicles & ADAS
🩺 Healthcare & Medical Imaging
🤖 Robotics & Drones
🛍️ Retail & E‑commerce
🗺️ Geospatial & Mapping
💳 Fintech & Document Automation
🌾 Agritech & Environmental Monitoring
🏭 Manufacturing & Quality Inspection
🛡️ Security & Smart Cities
How We Work
1️⃣ Discovery & Ontology design — We'll map your use case, create a clear label schema, and draft annotation guidelines.
2️⃣ Pilot (30–1000 items) — Quick pilot to validate dataset quality, throughput, and edge-case handling.
3️⃣ Iterate & Scale — Refine guidelines, tune pre-label models, then ramp up using dedicated teams or burst capacity.
4️⃣ Delivery & Reporting — Final dataset in your preferred format, plus QA reports and model-ready assets.