
Sama
Sama is based in San Francisco, California, USA and works in Computer Vision for Agricultural Technology (AgTech), with further work in AI Ethics & Governance and LLM Agents & RAG.
- Average rating
- —
- Reviews
- 0
- Profile coverage
- 80%
- Evidence percentile
- P58
Profile updated · Request a correction
Company & commercials
- Primary category
- Computer Vision
- Team size
- Not disclosed
- Typical budget
- Not disclosed
- Primary industry
- Agriculture, Forestry & Food Systems
What Sama does best.
Computer Vision provider for Agriculture, Forestry & Food Systems
data annotation and labeling company providing high-quality training data for computer vision and generative AI models, serving global companies in automotive, retail, and consumer tech sectors. Its own website shows its strongest capability in Computer Vision, alongside Image Recognition and 3D Computer Vision. The industry it describes most is Agricultural Technology (AgTech).
2 platforms & methods
Bars show how many mapped capabilities use each one.
- Computer Vision1 capability
- Generative AI1 capability
Evidence report
How Sama compares with peers on evidence, reviews and coverage.
What the evidence says
Sama presents as a moderate evidence profile for Computer Vision. It ranks in the 58th percentile of 546 published providers in Computer Vision, and no reviews on the profile yet.
Current positioning: P58 evidence quality · P66 industry breadthAI capabilities.
AI Ethics & Governance
None of the listed technologies is specific to AI Ethics & Governance.
Mapping source · https://www.sama.com/data-annotation-services-for-foundation-models — “AI & Machine Learning Model Evaluation Services console.log('header code for banner') var bannerInfo = JSON.”
Featured 12 of 25 capabilities, ranked by mapping grade then confidence.
Industries served.
- Agricultural Technology (AgTech)Direct · Primary95%
https://www.sama.com/2d-image-annotation-services — “s, which leads to a better bottom line. Learn More Agriculture & Food AgTech image annotation focuses on labeling crops, weeds and pests to monito”
What clients say.
Sama's accuracy rate is consistently at 99%, which is incredible!
Worked with Sama? Review them → Every reviewer is verified by RankGlobal.
How RankGlobal maps this profile.
RankGlobal maps this profile against a controlled taxonomy. Mapping grades on capability and industry cards describe how the profile is classified. Source strength for ranking decisions follows the hierarchy published on Research — a mapping grade is not a claim of discoverability weight.
- T1AuthoritativeTypical evidenceRegulators, registries, certifications, signed client evidence.Scoring useHighest evidentiary weight
- T2IndependentTypical evidenceCredible media, industry bodies, partner directories, third-party datasets.Scoring useStrong with attribution and recency
- T3Provider-controlledTypical evidenceCompany site, case studies, press releases, structured submissions.Scoring useAccepted as a claim; verification raises weight
- T4Discovery-onlyTypical evidenceDirectory listings, aggregations, and early discovery signals.Scoring useUsed for discovery; weighted accordingly in ranking
Move from discovery to a focused conversation.
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- Primary category
- Computer Vision
- Primary industry
- Agriculture, Forestry & Food Systems
- Typical budget
- Not disclosed
- Team size
- Not disclosed
- 1Name the use caseSay which Computer Vision problem you are evaluating, so the research team can route your message accurately.
- 2Pressure-test the budget bandNo budget band is on file. Ask what a scope like yours typically lands at.
- 3Ask for a referenceRequest a client reference in Agriculture, Forestry & Food Systems — the strongest industry signal on this profile.
Enquire about Sama
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