San Francisco December 9, 2025
HumanSignal, today announced that Label Studio Enterprise, the most secure and flexible platform for data labeling and evaluation, is now available on Amazon Web Services (AWS) Marketplace. This availability gives enterprises a streamlined path for adopting Label Studio Enterprise through their existing AWS accounts and committed spend, making it easier than ever to deploy secure, scalable AI data operations.
“Making Label Studio Enterprise available through AWS Marketplace gives customers the freedom to consume our platform in whatever way best fits their operational, financial, and compliance needs,” said Michael Malyuk, CEO of HumanSignal. “Whether organizations want to draw down existing AWS commitments, run a compliant cloud deployment, or operate fully on-prem, we're committed to meeting them where they are with the most secure and flexible data labeling and evaluation platform in the industry.”
Simplified Procurement:
Customers can subscribe and manage billing directly through their AWS account, consolidating spend and taking advantage of committed AWS funds.
Secure Data Architecture:
Label Studio Enterprise ensures sensitive data remains encrypted and isolated under enterprise control, leveraging native S3 support, IAM-role access, enforced TLS connections.
Comprehensive Data Support:
A single platform for all data modalities—including complex multimodal tasks—with fully customizable interfaces and workflows for video, text, images, audio, time series, and more.
Enterprise Compliance:
Meets stringent security and compliance needs with SOC2 and HIPAA attestations, granular role-based access control (RBAC), single sign-on (SSO), audit logging, and enterprise-grade governance.
Label Studio Enterprise is a scalable, multimodal annotation and evaluation platform built for teams that depend on high-quality training data, trustworthy evaluation signals, and integrated workflows for modern ML/AI pipelines.
With availability through AWS Marketplace, enterprises can accelerate major use cases such as:
1. High-Quality Training Data & RLHF
Produce high-quality training datasets and Reinforcement Learning from Human Feedback (RLHF) signals with model-assisted labeling, preference collection, reviewer workflows, and structured feedback loops. Capture corrections, rankings, and critiques to fuel safer, better-aligned models.
2. Multimodal Agent Evaluation
Evaluate agent systems that generate apps, images, code, text, or video using structured, human-in-the-loop workflows. Inspect multimodal traces—including reasoning and tool calls—run live multi-turn chat evaluations, compare systems in an Agent Arena, and apply flexible rubrics to assess comprehension, responsiveness, safety, and execution quality.
3. Custom AI Benchmarks
Create and maintain domain-specific benchmarks with structured scoring, human review, and LLM-as-a-judge workflows. Produce repeatable, auditable metrics for comparing model versions, prompts, guardrails, and evaluation criteria over time.
Teams at Bayer, EA, Epic Games, Lufthansa Technik, Verily, and Zendesk centralize their annotation and evaluation workflows on Label Studio Enterprise to deliver auditable, production-ready AI data pipelines.
Label Studio Enterprise is available now in the ML Solutions and Data Labeling Services categories on AWS Marketplace.
HumanSignal is the company behind Label Studio, the most widely adopted open source data labeling and evaluation platform for AI development. Used by leading enterprises, research organizations, and AI labs worldwide, Label Studio powers flexible, multimodal data workflows for human-in-the-loop AI. With HumanSignal Services, the company now provides secure, end-to-end data creation operations to accelerate the next generation of AI.