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Dataside

MLOps & Infrastructure · Predictive AnalyticsSão José dos Campos, Brazil

Dataside is based in São José dos Campos, Brazil and works in AI Platform Engineering for E-commerce & Online Marketplaces, with further work in Predictive Analytics.

Average rating
—
Reviews
0
Profile coverage
80%
Evidence percentile
P77

Profile updated · Request a correction

Company & commercials

Primary category
MLOps & Infrastructure
Team size
Not disclosed
Typical budget
Not disclosed
Primary industry
Retail, Wholesale & Consumer Goods
Contact provider →Visit website ↗
Overview

What Dataside does best.

About

MLOps & Infrastructure provider for Retail, Wholesale & Consumer Goods

A specialized consultancy focusing on data and artificial intelligence to drive business value, providing data engineering, analytics, and strategic AI implementation for digital transformation journe. Its own website shows its strongest capability in AI Platform Engineering within MLOps & Infrastructure. The industry it describes most is E-commerce & Online Marketplaces.

Service model·Service
Primary AI categoryMLOps & Infrastructure
Benchmarked against 1,351 providers in this category.
Primary industryRetail, Wholesale & Consumer Goods
Technology stack

3 platforms & methods

Bars show how many mapped capabilities use each one.

  • Microsoft Azure1 capability
  • Databricks1 capability
  • Power BI1 capability
RankGlobal provider intelligence

Evidence report

How Dataside compares with peers on evidence, reviews and coverage.

Analyst brief · Published
CategoryMLOps & Infrastructure
Compared with1,351 providers
Signals3 signals
Status● Published
Evidence score
71/100
Moderate evidence77th percentile of 1,351 peers · peer median 70
Profile coverage80
Taxonomy density100
Review signal0
Peer benchmarkHow the profile comparesMLOps & Infrastructure among 1,351 published providers
Average rating0.00 · median 4.89
Independent reviews0 · median 0
Profile completeness80% · median 70%
Taxonomy breadth18 · median 20
This profile Peer median
Signal radarMulti-dimensional evidence
Independent reviewsCoverageBreadth
This profile (percentile) Peer median
Industries5 industries
Agriculture, Forestry & Food Systems29%
Retail, Wholesale & Consumer Goods29%
Automotive & Mobility14%
Government & Public Sector14%
Healthcare & Life Sciences14%
Share of mapped industries, not share of work or revenue.
Evidence mixMapping grades
33%Direct · 6 mappings
67%Supported · 12 mappings
Grades across 18 mappings. Not a search ranking.
Analyst summary

What the evidence says

Dataside presents as a moderate evidence profile for MLOps & Infrastructure. It ranks in the 77th percentile of 1,351 published providers in MLOps & Infrastructure, and no reviews on the profile yet.

Current positioning: P77 evidence quality · P44 industry breadth
Strongest signalsEvidence-backed strength in MLOps & Infrastructure is the profile's clearest signal in the mapped taxonomy.
Best user fitRetail, Wholesale & Consumer Goods buyers evaluating MLOps & Infrastructure 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.

Primary AI category · 1 / 11

MLOps & Infrastructure

—
DirectSupportedRelatedAdjacentOne of 1,352 providers in this category
Compare MLOps & Infrastructure providers →
Technology usedMicrosoft AzureDatabricks

Mapping source · https://www.dataside.com.br/ — website wording not matched; editor review

Featured 11 of 11 capabilities, ranked by mapping grade then confidence.

Industry experience · 5 industries · 7 subindustries

Industries served.

5 Core0 Adjacent · discovery only
Retail, Wholesale & Consumer GoodsOther providers in Retail, Wholesale & Consumer Goods →
  • E-commerce & Online MarketplacesDirect · Primary
    90%

    https://www.dataside.com.br/ai-gen-machine-learning — “a. Conheça o case Machine Learning impulsiona desempenho de vendas no e-commerce Como a Dataside, em parceria com Microsoft e OpenAI, ajudou a criar o”

  • General RetailSupported
    60%

    https://www.dataside.com.br/ai-gen-machine-learning — “a. Conheça o case Machine Learning impulsiona desempenho de vendas no e-commerce Como a Dataside, em parceria com Microsoft e OpenAI, ajudou a criar o”

Client feedback

What clients say.

Testimonial
A IA está transformando a forma como os advogados acessam e analisam informações.
PSPaulo Silvestre, Head de Inovação e DesenvolvimentoFrom the firm’s website1 / 6
6 reviews

Worked with Dataside? 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
MLOps & Infrastructure
Primary industry
Retail, Wholesale & Consumer Goods
Typical budget
Not disclosed
Team size
Not disclosed
  1. 1Name the use caseSay which MLOps & Infrastructure 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 Retail, Wholesale & Consumer Goods — the strongest industry signal on this profile.
Still comparing? Re-read the mapping evidence or go back to all providers.

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Three fields. Anything longer belongs on the full contact page, linked below.
Prefer to go directVisit website ↗Full contact page →

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