Sama Platform logo

Sama Platform

by Sama · Since 2008
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ActiveAvailable globallyCloud
Quick facts
VendorSama
Year launched2008
StatusActive
Location2017 Mission St, Ste 301, San Francisco, CA, United States, California
Countries servedGlobal
Languages1
Integrations
Free tier
Free trial
Contact salesYES

About Sama Platform

Sama Platform is a data annotation software from Sama that specializes in Generative AI and Computer Vision Data Annotation. It provides technical capabilities to serve the project, support for AI workflows, and initial project timelines, scope, and pricing so users can achieve high-performance AI models. Sama's solutions focus on delivering quality, human-verified data to support teams shipping production models at scale. The platform is designed to help scale models with production-ready data, ensuring accuracy and reliability in data annotation. Key capabilities: data annotation AI workflow support project timelines pricing structures model scaling Best for: AI teams that need reliable data services to improve model accuracy and support their AI projects.

Sama Platform is the core technology behind Sama, a purpose-built data annotation and validation system that powers artificial intelligence and machine learning development by turning raw data into high-quality, model-ready training datasets. It combines advanced automation with human expertise to support every phase of the data lifecycle, from preparation and task prioritization through annotation, quality assurance, post-processing, and delivery, helping data science teams reduce rework and accelerate AI projects. The platform’s capabilities include sophisticated labeling tools for images, video, text, audio, and sensor data, machine learning-assisted suggestions for faster throughput, robust quality control layers that combine automated checks with expert review, and seamless export or integration with model pipelines for flexible use. What sets the Sama Platform apart is its hybrid approach that balances machine speed with human judgment to handle edge cases effectively, enterprise-grade infrastructure including project collaboration and reporting features, and guarantees of high accuracy that help data teams meet strict quality standards.

Pros & Cons

What users like
  • +Combines human expertise with automation to deliver consistently high-quality annotated data.
  • +Supports complex and large-scale AI projects without compromising accuracy.
  • +Offers a collaborative hub for managing and reporting on annotation workflows.
  • +Provides proactive insights that help improve model training and reduce errors.
  • +Scales efficiently from small pilots to enterprise-wide deployments.
What users flag
  • Requires onboarding and training for teams new to data annotation platforms.
  • Full value depends on consistent collaboration between human reviewers and automated tools.
  • Smaller organizations might find the enterprise-level feature set more than they need.
  • Integration with existing pipelines may require additional configuration.
  • Data governance practices are essential to maximize accuracy over time.

Features

Key features

End-to-End Data Annotation
Provides a comprehensive platform to transform raw data into high-quality annotated datasets for AI model training across image, video, and point cloud data.
Human-in-the-Loop Quality Assurance
Blends advanced automation with expert human review to ensure exceptionally accurate ground truth data.
Task Management and Prioritization
Organizes and routes annotation tasks efficiently to qualified annotators while monitoring progress.
Collaborative Workflow Hub
Offers a central workspace to manage projects, review quality, and share reports with team members.
Proactive Insights and Model Feedback
Uses proprietary algorithms to surface actionable insights such as edge case detection and data distribution issues that impact model performance.
Quality Control and Auditing Tools
Implements iterative checks, calibration phases, and manual reviews to maintain data accuracy and consistency.

Additional features

Data Preparation and Cleaning
Normalizes and filters raw inputs before annotation begins.
Advanced Annotation Tools
Provides tools such as bounding boxes, segmentation, and keypoints with machine-assisted suggestions.
Post-Processing and Validation
Refines and validates labels before final delivery.
Performance Monitoring
Tracks performance metrics and helps pinpoint model weaknesses or biases.
Customizable Workflows
Supports configurable rules and workflows to suit project-specific needs.
High-Volume Support
Handles large datasets at enterprise scale, from millions of frames to billions of annotation points.
Self-Service Sampling
Allows clients to sample data quality and give direct feedback to annotation teams as needed.

Pricing

Free trial
Free version
Request a quote
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Countries & Languages

Global
Countries served
1
Interface languages
1
Billing currencies

Interface languages

English

Billing currencies

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