Gen AI moves fast. So do we.
In generative and agentic AI, development timelines are measured in days, not months. But quality data still takes time, nuance, and human insight. That’s why Sigma doesn’t make you choose between speed and quality. We deliver both.
With a global, trained workforce and intelligent process design, we help clients rapidly scale high-volume, high-context annotation projects without cutting corners. Whether you’re preparing thousands of multi-turn conversations, pixel-perfect product images, or multilingual transcripts, we move fast because we’ve built the infrastructure to scale responsibly.
Speed at scale: what sets Sigma apart
Global workforce, ready to deploy
- 25,000+ trained annotators across 100+ countries and 300+ dialects
- Specialists in domains like medicine, finance, linguistics, and law
- Project-specific team curation for faster onboarding and better quality
- Short ramp-up times, even for custom data collection efforts
→ Learn more: Transcripción de vídeo escalable en 24 dialectos
Iterative processes that improve as they run
- We don’t wait until a project ends to fix inefficiencies — we optimize in real time.
- Continuous feedback loops between project managers and annotators reduce errors and rework.
- Annotator health and performance are managed with shift planning and rest cycles to prevent fatigue and cognitive bias.
→ Learn more: The intricacy of assessing data quality
Our formula for efficient annotation
Sigma balances three key levers to help clients hit aggressive deadlines without compromising quality:
1. Human curation at machine speed
We don’t crowdsource. Instead, we draw from a vetted global network of annotators with proven performance histories and domain-specific experience. We match them to your use case and scale quickly without sacrificing context or coherence.
2. Automation where it counts
We accelerate throughput by using:
- Pre-annotation automation for repetitive tasks
- Pre-labeling models trained on early annotations
- Semi-automated QA to identify systematic errors faster
→ Learn more: Image annotation: what it is and how it works
3. Tooling built for speed and precision
Our platform supports:
- Parallel workflows across annotators with no latency
- Real-time guideline updates and communication channels
- Built-in prevention for common human errors (e.g. fatigue-based drift, inconsistent labeling)
→ Learn more: Machine learning workflow: key steps and best practices
Fast doesn’t mean fragile
Yes, we can launch a complex annotation project in days. But that doesn’t mean we cut corners. Our operational model is designed to scale without stress by building in:
- Buffer capacity across global time zones
- Scalable reviewer teams and quality escalation paths
- Predictive ramp-up planning based on project complexity
- Transparent metrics on throughput, error rates, and guideline adoption
Time is a risk factor. We help you mitigate it.
If you’re working on:
- A product release with GenAI features
- A client deployment with agentic assistants
- A model fine-tuning cycle for a critical use case
…you don’t have the luxury of delays. Sigma helps you hit your deadlines with confidence — and with data you can trust.
→ Learn more: Pixel-perfect image annotation for product recognition