Radix
Radix works in Digital Twins for Wholesale Trade & Distribution, with further work in LLM Agents & RAG and Automation & Workflow.
- Average rating
- —
- Reviews
- 0
- Profile coverage
- 70%
- Evidence percentile
- P45
Profile updated · Request a correction
Company & commercials
- Primary category
- Edge AI & IoT
- Team size
- Not disclosed
- Typical budget
- Not disclosed
- Primary industry
- Retail, Wholesale & Consumer Goods
What Radix does best.
Edge AI & IoT provider for Retail, Wholesale & Consumer Goods
Its own website shows its strongest capability in Digital Twins within Edge AI & IoT, alongside Smart Manufacturing AI and Edge AI & IoT. The industry it describes most is Wholesale Trade & Distribution.
Evidence report
How Radix compares with peers on evidence, reviews and coverage.
What the evidence says
Radix presents as a moderate evidence profile for Edge AI & IoT. It ranks in the 45th percentile of 853 published providers in Edge AI & IoT, and no reviews on the profile yet.
Current positioning: P45 evidence quality · P19 industry breadthAI capabilities.
Automation & Workflow
None of the listed technologies is specific to Automation & Workflow.
Mapping source · https://www.radixeng.com/ — “e full asset lifecycle, including economic analysis, facility design, systems integration, and decommissioning in 35+ countries. We engineer practical, multidi”
Featured 9 of 9 capabilities, ranked by mapping grade then confidence.
Industries served.
- Wholesale Trade & DistributionDirect · Primary95%
https://www.radixeng.com/ — “nes have proclaimed the impending age of automation. Amid the hype, a wholesale reshaping of industries seemed inevitable: The robots were coming for”
What clients say.
No independent reviews found for Radix yet.
Worked with Radix? 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
- Edge AI & IoT
- Primary industry
- Retail, Wholesale & Consumer Goods
- Typical budget
- Not disclosed
- Team size
- Not disclosed
- 1Name the use caseSay which Edge AI & IoT 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 Retail, Wholesale & Consumer Goods — the strongest industry signal on this profile.
Enquire about Radix
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