Labelbox
Free tierThe data factory for AI teams — powering the world's most ambitious AI labs
Free tier available·All audiences·Powered by Multiple (Claude, GPT, Gemini, open weights)·API available
Key strengths
Trusted by 90%+ of leading US AI labs for post-training dataAlignerr network of 2.6M+ expert knowledge workers across 40+ countriesFull-stack robotics data including video, trajectories, and multimodal annotationsCustom private AGI benchmarks and frontier model evaluationsApplied research team publishing at top venues like NeurIPS and CVPR
Free tier + paid plans
San Francisco, USA
Founded 2018
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Labelbox — Technical Use Cases
Labelbox is purpose-built for engineering, research, data, and infrastructure teams. Representative use cases include:
- CI/CD-integrated agents: Trigger agents automatically on GitHub commits or Jenkins pipeline events to run evaluations, flag regressions, or route issues to Jira or Linear — without manual intervention.
- MLOps & data workflow orchestration: Coordinate multi-agent pipelines across Databricks, BigQuery, and Snowflake for data preparation, model evaluation, and quality grading at scale.
- Observability-driven automation: Connect Datadog, Sentry, and PagerDuty alerts directly to agents that diagnose, triage, and escalate incidents, with logs routed through Google Cloud Logging.
- Multi-model experimentation: Run parallel agent sessions across Claude, GPT, Gemini, and open-weights models to benchmark outputs and select optimal backends per task type.
- Continuous skill accumulation: Leverage graded session memory to build agents that improve measurably over time across recurring research or data labeling workflows — reducing the need for manual prompt engineering or retraining cycles.
- Cross-functional orchestration: Span agents across dev, ML, sales, and security tooling (Salesforce, Okta, Gong, Amplitude) within a single orchestration layer, using the API to coordinate triggers and retrieve results programmatically.
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