SCALE WITHOUT THE REWORK

Connect with a data expert to scope your annotation needs

Sama annotates data with guaranteed accuracy

BUILD AI MODELS WITH DATA CERTAINTY

Remove data annotation bottlenecks

Your AI teams are under pressure to get models to perform while juggling data quality, scale, and short deadlines — all with limited bandwidth. That’s where Sama steps in. When data quality drops, rework puts you over budget, and deployment gets pushed back, Sama provides high-quality annotation that accelerates your path to production and helps keep your model performing reliably.

Bottleneck 1: Quality

Poor guidelines, inconsistent review, and unclear definitions of “good” lead to drift and preventable model failures.

Bottleneck 2: Scale

When volume spikes, accuracy suffers because teams, QA, and workflows can’t scale quickly enough.

Bottleneck 3: Cost

Teams overspend fixing bad data or maintaining internal labeling efforts — delaying launches and inflating budgets.

Bottleneck 4: Team

Internal teams lack scalable annotation and QA capacity, especially under tight deadlines and evolving model needs.

Get high-quality data labeling

With 16+ years of human-in-the-loop annotation expertise, Sama provides the quality, consistency, and scalable execution that global AI teams trust to improve their model performance.

Data annotation

Expert annotators at Sama label your data with proven workflows and multi-layer QA to ensure quality labeling across 2D/3D CV, text, LIDAR, and sensor fusion.

Model evaluation

Humans-in-the-loop perform reinforcement learning from human feedback, direct preference optimization, hallucination detection, A/B evaluation, and error correction.

Data validation

Sama validates datasets through human review, automated checks, and error analytics that identify class imbalance, data skew, or label mismatch.

Annotation services that drive your AI workflows

With Sama, you get a dedicated team of annotation and QA experts who work as an extension of your engineering and research teams. We deliver the consistent, scalable data your models need to hit accuracy targets and stay performant. Our teams adapt Sama’s proven processes to your project: sampling strategies, calibration cycles, golden-set creation, and ongoing evaluation loops — designed to maintain quality as volume increases.

Consistant labelling quality at scale

Guaranteed annotation accuracy

Expert team of humans-in-the-loop

Data that supports model performance

Get quality data annotation at scale

Connect with a data expert

Ready to talk? We’ll walk you through our proven process and give you a clear assessment of scope, accuracy, timelines, and what it takes to confidently reach production while protecting the time of your internal team.

What to expect when scoping your project with Sama

You’re a few short steps away from getting the data quality, consistency, and throughput that your model requires to perform in production.

Step 1.
Initial evaluation

We align on your data goals, accuracy targets, edge cases, and timelines. You’ll leave this step with a clear definition of what “good” looks like for your model.

Step 2.
Scope estimation

Sama translates your requirements into a detailed scope: data types, volumes, workflows, quality bars, and the team structure needed to hit them.

Step 3.
Solution design

You get a custom, validated solution design precisely tailored to your model — complete with estimated pricing, QA strategy, and evaluation loops.

Step 4.
Launch

Within 2–6 weeks, your project is live. Your dedicated Sama team configures workflows, calibrates quality, and delivers reliable data at scale.

FAQ

Get answers to your questions before you talk to a Sama expert

From retail to security, quality data annotation enables businesses to bring valuable results to their customers.

1. How long does it take to start a new project with Sama?
2. Do you support pilots and proof-of-concept work?
3. What project duration do you support?
4. What kind of onboarding support does Sama provide?
5. What types of data services does Sama offer?
6. What data types can Sama handle?
7. Do you support multimodal workflows?
8. How quickly can Sama annotate 10,000 images (or similar)?
9. Can Sama integrate into existing pipelines or ML Ops stacks?
10. How does Sama ensure annotation accuracy and consistency?
11. Does Sama have its own platform for data annotation?
12. How does Sama keep our data private and secure?
13. Do you sign NDAs or DPAs?
14. Where can I see more customer stories?

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