Sama consistently produces data with accuracy of 94-98% by combining machine assisted annotation (MAA) with ethical human validation. Here’s a glimpse into how it works:
ML Assisted Annotation powered by MicroModels are used to generate pre-labeled and human-assisted annotation
Our annotaters validate ML generated labels that are constantly improving, instead of annotating from scratch
Clients predictably get higher quality training data in half the time to bring their models to production faster
We help clients iterate on instructions and optimize their workflow configuration. We quickly adapt to ramp-ups, focus shifts, and edge cases, with change frequency of up to 2-3 x/week per workflow.
One misstep in data accuracy can cause havoc or lost revenue, especially when dealing with critical safety. We offer the highest quality SLA (>95%), even on the most complex workflows.
We annotated over 1.5 billion points in 2020 without compromising data quality. Our API-centric architecture is built to scale using extensible stateless microservices, ensuring scalability and development velocity.
We ensure your data is secure. Our delivery sites are ISO certified and employ biometric security. We offer high availability and uptime as we understand that the reliability of our platform is paramount.
We deliver on throughput within schedule. Our turnaround time is as low as 2 days from new workflow request to production delivery, and our advanced annotation tools enable rapid labeling.
Consider us your training data partner. With industry leading retention, our annotators are subject matter experts. Our team assist with anything from implementing a robust quality rubric to raising edge cases.
When we first started the project, we didn’t know the exact scope. Sama let us be flexible and experiment until we found the perfect solution.
For over a decade, hundreds of organizations have relied on Sama to deliver secure, high-quality training data and model validation for machine learning.