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RisingStack

MLOps & Infrastructure · Computer Vision · Edge AI & IoTBudapest, Hungary

RisingStack is based in Budapest, Hungary and works in Model Deployment for Beauty, Personal Care & Salons, with further work in Edge AI & IoT and LLM Agents & RAG.

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
Personal, Household & Community Services
Contact provider →Visit website ↗
Overview

What RisingStack does best.

About

MLOps & Infrastructure provider for Personal, Household & Community Services

RisingStack is a European software development and consulting agency specializing in Node.js, Kubernetes, and Microservices, helping companies build and scale reliable web applications and AI infrastructure. Its own website shows its strongest capability in Model Deployment within MLOps & Infrastructure, alongside MLOps and Cloud AI Infrastructure. The industry it describes most is Beauty, Personal Care & Salons.

Service model·Service
Primary AI categoryMLOps & Infrastructure
Benchmarked against 1,351 providers in this category.
Primary industryPersonal, Household & Community Services
Technology stack

5 platforms & methods

Bars show how many mapped capabilities use each one.

  • Kubernetes1 capability
  • AWS1 capability
  • Node.jsProfile only
  • JavaScriptProfile only
  • PythonProfile only
RankGlobal provider intelligence

Evidence report

How RisingStack 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 breadth23 · median 20
This profile Peer median
Signal radarMulti-dimensional evidence
Independent reviewsCoverageBreadth
This profile (percentile) Peer median
Industries4 industries
Construction, Real Estate & Built Environment43%
Technology, Software & Digital Infrastructure29%
Personal, Household & Community Services14%
Financial Services & Insurance14%
Share of mapped industries, not share of work or revenue.
Evidence mixMapping grades
61%Direct · 14 mappings
39%Supported · 9 mappings
Grades across 23 mappings. Not a search ranking.
Analyst summary

What the evidence says

RisingStack 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 · P56 industry breadth
Strongest signalsEvidence-backed strength in MLOps & Infrastructure is the profile's clearest signal in the mapped taxonomy.
Best user fitPersonal, Household & Community Services 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.

AI category · 1 / 12

Computer Vision

—
DirectSupportedRelatedAdjacentOne of 547 providers in this category
Compare Computer Vision providers →
Technology used

None of the listed technologies is specific to Computer Vision.

Mapping source · https://risingstack.com/ — “on engines, natural language solutions, advanced predictive tools and computer vision apps, ushering our clients into the AI era. Full-Stack Web Developmen”

Featured 12 of 16 capabilities, ranked by mapping grade then confidence.

Industry experience · 4 industries · 7 subindustries

Industries served.

2 Core2 Adjacent · discovery only
  • 95%

    https://risingstack.com/nodejs-development-consulting-services — “oodJS & BlitzJS are meta-frameworks that provide tooling for creating SPAs, server-side rendered pages & statically generated content, providing”

Client feedback

What clients say.

Testimonial
Construction, Real Estate & Built Environment
We engaged RisingStack to develop a sophisticated real estate pricing platform, which greatly exceeded our expectations.
DIDr. István Hüse, CEOMIB Zrt.From the firm’s website1 / 6
6 reviews

Worked with RisingStack? 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

Move from discovery to a focused conversation.

Your enquiry goes to the RankGlobal research team, not the provider's sales inbox. Sending it does not affect their ranking.

Before you reach outKey facts, and three things to confirm once you're in touch.
Primary category
MLOps & Infrastructure
Primary industry
Personal, Household & Community Services
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 Personal, Household & Community Services — the strongest industry signal on this profile.
Still comparing? Re-read the mapping evidence or go back to all providers.

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