Accelerate Your AI with
Precision Data Annotation
Pixalect empowers ML teams with scalable, accurate, and secure data labeling solutions — tailored to your domain and optimized for quality.
Trusted by Leading AI Teams Across Industries
High-Quality Annotations, Purpose-Built for Your AI Workflows
We don’t just label data. We design workflows, define quality controls, and deliver at scale — with a human-in-the-loop model optimized for speed, precision, and consistency.
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Custom Annotation Pipelines
Every ML project is unique. We build tailored workflows aligned with your data structure, quality requirements, and domain complexity.
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Transparent Pricing, No Surprises
Clear pricing based on task complexity and volume. No black boxes — just predictable costs and accountable service.
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QA-Driven, Human-in-the-Loop Labeling
Multi-layer quality checks and expert annotators ensure your labeled data is model-ready and production-safe.
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Secure & Compliant
Enterprise-grade security with support for SOC 2, GDPR, and more.
Why Leading Teams Choose Pixalect
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We co-develop task definitions, guidelines, and edge case handling protocols with your ML team.
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Direct communication, quick turnaround, and end-to-end accountability.
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No vague “platform fees.” We scope, estimate, and price collaboratively before each project.
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SOC 2, NDA-backed, and privacy-first.
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From 1,000 to 1 million labels, we scale without compromising quality.
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Specialists across AV, MedTech, retail, aerial imagery, and generative AI datasets.
Autonomous Systems, Healthcare, E-commerce, Geospatial, Generative AI, Manufacturing
Adaptable to Any Use Case — Built for AI Innovation
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Autonomous Systems
2D/3D bounding boxes, LiDAR point clouds, tracking
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Healthcare & Life Sciences
Medical imaging, DICOM annotations, histopathology labeling
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E-commerce & Retail
Product classification, visual search, shelf monitoring
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Geospatial Intelligence
Satellite imagery, land cover classification, object detection
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Generative AI / LLMs
Instruction tuning datasets, RLHF, prompt categorization
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Manufacturing & Robotics
Defect detection, part labeling, machine vision calibration
A Structured Workflow Designed
for ML Teams
Consultation & Scoping
We define annotation goals, formats, volumes, and edge case handling.
Guideline Development
We co-create detailed task instructions aligned with your team’s expectations.
Pilot Annotation
A small batch is labeled to test instructions, QA process, and throughput.
Full-Scale Labeling
Our annotation team labels at scale with continuous QA and weekly reporting.
Ongoing Review & Optimization
We integrate feedback, refine edge case handling, and adapt to model needs.
What Our Partners Say
Let’s Build Better AI Together
Get in touch to start a pilot project or explore how Pixalect can support your data annotation workflows.