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Data#3

Recommendation Systems · LLM Agents & RAG · MLOps & InfrastructureToowong, Australia

Data#3 is based in Toowong, Australia and works in Learning Content Recommendations for Data Centers & Hosting, with further work in LLM Agents & RAG and MLOps & Infrastructure.

Average rating
—
Reviews
0
Profile coverage
80%
Evidence percentile
P55

Profile updated · Request a correction

Company & commercials

Primary category
Recommendation Systems
Team size
1400+ employees
Typical budget
Not disclosed
Primary industry
Technology, Software & Digital Infrastructure
Contact provider →Visit website ↗
Overview

What Data#3 does best.

About

Recommendation Systems provider for Technology, Software & Digital Infrastructure

Its own website shows its strongest capability in Learning Content Recommendations within Recommendation Systems. The industry it describes most is Data Centers & Hosting.

Service model·Service
Primary AI categoryRecommendation Systems
Benchmarked against 349 providers in this category.
Primary industryTechnology, Software & Digital Infrastructure
Technology stack

1 platforms & methods

Bars show how many mapped capabilities use each one.

  • AWS1 capability
RankGlobal provider intelligence

Evidence report

How Data#3 compares with peers on evidence, reviews and coverage.

Analyst brief · Published
CategoryRecommendation Systems
Compared with349 providers
Signals3 signals
Status● Published
Evidence score
66/100
Moderate evidence55th percentile of 349 peers · peer median 80
Profile coverage80
Taxonomy density87
Review signal0
Peer benchmarkHow the profile comparesRecommendation Systems among 349 published providers
Average rating0.00 · median 4.90
Independent reviews0 · median 0
Profile completeness80% · median 80%
Taxonomy breadth17 · median 36
This profile Peer median
Signal radarMulti-dimensional evidence
Independent reviewsCoverageBreadth
This profile (percentile) Peer median
Industries5 industries
Technology, Software & Digital Infrastructure40%
Government & Public Sector20%
Nonprofit, Associations & Social Impact20%
Environmental & Sustainability Services10%
Professional & Business Services10%
Share of mapped industries, not share of work or revenue.
Evidence mixMapping grades
65%Direct · 11 mappings
35%Supported · 6 mappings
Grades across 17 mappings. Not a search ranking.
Analyst summary

What the evidence says

Data#3 presents as a moderate evidence profile for Recommendation Systems. It ranks in the 55th percentile of 349 published providers in Recommendation Systems, and no reviews on the profile yet.

Current positioning: P55 evidence quality · P10 industry breadth
Strongest signalsEvidence-backed strength in Recommendation Systems is the profile's clearest signal in the mapped taxonomy.
Best user fitTechnology, Software & Digital Infrastructure buyers evaluating Recommendation Systems across engagement sizes.
Confirm before engagementConfirm current delivery capacity directly — mapped signals reflect profile evidence, not live availability.
How this report is calculated →
Capabilities

AI capabilities.

AI category · 1 / 7

LLM Agents & RAG

—
DirectSupportedRelatedAdjacentOne of 1,861 providers in this category
Compare LLM Agents & RAG providers →
Technology used

None of the listed technologies is specific to LLM Agents & RAG.

Mapping source · https://www.data3.com/ — “ake HPE Storage Lenovo Lenovo Lenovo Device Fleet Microsoft Microsoft Agentic AI Microsoft 365 Copilot Microsoft Azure | Public Cloud Microsoft Securi”

Featured 7 of 7 capabilities, ranked by mapping grade then confidence.

Industry experience · 5 industries · 10 subindustries

Industries served.

5 Core0 Adjacent · discovery only
  • Data Centers & HostingDirect · Primary
    95%

    https://www.data3.com/services/procurement — “... Customer Story Data # 3 to help modernise WA Government networks, data centres and... June 24, 2025; Perth, Australia: Data # 3, a leading Australia”

  • 90%

    https://www.data3.com/services/managed-services — “anced specialisations such as Azure Expert Managed Services Provider (MSP), Cisco Master Specialisations, Dell Technologies Cloud Platform Part”

  • 60%

    https://www.data3.com/services — “Managed IT Services | Data#3 Services Consulting Procurement Project Services Managed Ser”

  • 60%

    https://www.data3.com/services — “Managed IT Services | Data#3 Services Consulting Procurement Project Services Managed Ser”

Client feedback

What clients say.

No independent reviews found for Data#3 yet.

Worked with Data#3? Review them → Every reviewer is verified by RankGlobal.

Methodology

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.

  1. T1AuthoritativeTypical evidenceRegulators, registries, certifications, signed client evidence.Scoring useHighest evidentiary weight
  2. T2IndependentTypical evidenceCredible media, industry bodies, partner directories, third-party datasets.Scoring useStrong with attribution and recency
  3. T3Provider-controlledTypical evidenceCompany site, case studies, press releases, structured submissions.Scoring useAccepted as a claim; verification raises weight
  4. T4Discovery-onlyTypical evidenceDirectory listings, aggregations, and early discovery signals.Scoring useUsed for discovery; weighted accordingly in ranking
Direct, Supported, Related and Adjacent appear on mapped cards as classification grades. They do not rank how discoverable a provider should be.RankGlobal trust center →
Ready to evaluate this provider

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Before you reach outKey facts, and three things to confirm once you're in touch.
Primary category
Recommendation Systems
Primary industry
Technology, Software & Digital Infrastructure
Typical budget
Not disclosed
Team size
1400+ employees
  1. 1Name the use caseSay which Recommendation Systems problem you are evaluating, so the research team can route your message accurately.
  2. 2Pressure-test the budget bandNo budget band is on file. Ask what a scope like yours typically lands at.
  3. 3Ask for a referenceRequest a client reference in Technology, Software & Digital Infrastructure — the strongest industry signal on this profile.
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