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RisingStack

MLOps & Infrastructure · Automation & WorkflowBudapest, HungaryFounded 2014

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.

4.8
Average rating
16
Mapped reviews
100%
Profile coverage

Company & commercials

Primary category
MLOps & Infrastructure
Team size
10-25 employees
Typical budget
$25K - $75K
Primary industry
Technology, Software & Digital Infrastructure
Provider overview

A clear view of what RisingStack does best.

Structured from supplied company information and mapped to RankGlobal's controlled AI and industry taxonomy.

Company profile
MLOps & Infrastructure provider for Technology, Software & Digital Infrastructure

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. RankGlobal maps its primary capability to LLMOps & AgentOps within MLOps & Infrastructure, with supporting relevance to Model Deployment, Workflow Automation. Its strongest supplied industry signals align with Software & SaaS, FinTech Platforms, Real Estate Technology (PropTech).

See how this profile was mapped →
Primary AI category
MLOps & Infrastructure
Strongest industry signal
Technology, Software & Digital Infrastructure
Engagement profile·$25K - $75K·10-25 employees·Service
Mapped capabilities · 2 categories
Technology

Platforms, methods and technical signals

Node.jsKubernetesJavaScriptAWSPython

Tools and platforms named in RisingStack's supplied company profile.

Expertise

Named expertise on file

  • High-Performance Node.js

    Recognized global experts in building, scaling, and auditing large-scale Node.js microservices that handle millions of requests.

    Node.jsMicroservicesScalability
  • SRE & DevOps Consulting

    Delivering professional Kubernetes audits and managed services to eliminate infrastructure bottlenecks and ensure 99.9% uptime.

    SREKubernetesCloud Native
  • AI Infrastructure & RAG

    Helping firms deploy ML models and implement Retrieval-Augmented Generation (RAG) using modern stacks like Anthropic Claude.

    RAGLLMOpsModel Deployment
  • Training & Mentorship

    providing specialized workshops for engineering teams to master JavaScript, Microservices, and Cloud Native architecture.

    Technical TrainingUpskillingMentorship
RankGlobal provider intelligence
Analyst brief

Mapped Evidence Report

A decision-support view of RisingStack, built from mapped taxonomy signals, evidence confidence, commercial profile and reviews.

Primary feed set
MLOps & Infrastructure
Compared with
668 providers
Evidence signals used
3 signals
Publication status
Published
Structured evidence signal
100/100
Strong evidence
60th percentile of 668 peers · peer median 100
Profile coverage100
Taxonomy density100
Review signal100
Peer benchmark
How the profile compares

MLOps & Infrastructure among 668 published providers

Average rating4.81 · median 4.83
Mapped reviews16 · median 10
Profile completeness100% · median 100%
Taxonomy breadth18 · median 20
Signal radar
Multi-dimensional evidence
RatingReviewsCoverageBreadth
This profile (percentile) Peer median
Capability mix
Mapped category signal
MLOps & Infrastructure96%
Automation & Workflow80%

Imported mapping confidence for each category — not a share of work, revenue, or delivery volume.

Mapped industries
3 industries on the map
3
Construction, Real Estate & Built Environment50%
Technology, Software & Digital Infrastructure33%
Financial Services & Insurance17%

Share of mapped industry rows on the taxonomy map — not share of work or revenue.

Evidence mix
Mapping grades
Direct17% · 3
Supported67% · 12
Adjacent17% · 3

Imported mapping grades across 18 taxonomy mappings — not a search ranking.

RankGlobal analyst interpretation

What the mapped signals say

RisingStack presents as a strong evidence profile for MLOps & Infrastructure. It ranks in the 60th percentile of 668 published providers in MLOps & Infrastructure, and 16 reviews back the commercial profile.

Current positioning: P60 evidence quality · P42 industry breadth
Strongest signals
Evidence-backed strength in MLOps & Infrastructure is the profile's clearest signal in the mapped taxonomy.
Best user fit
Technology, Software & Digital Infrastructure buyers evaluating MLOps & Infrastructure at a $25K - $75K engagement size.
Confirm before engagement
Confirm current delivery capacity directly — mapped signals reflect profile evidence, not live availability.
Client feedback signals
16
Reviews
4.8
Average rating
0
Publicly reshared
Published
Listing status
How this report is calculated →
Industry experience

Where this expertise is most relevant.

Industry mappings are organized by evidence strength so buyers can distinguish demonstrated alignment from broader search relevance.

6 mapped subindustries
Client feedback

What clients say.

Reviews and ratings published for this provider.

We engaged RisingStack to develop a sophisticated real estate pricing platform, which greatly exceeded our expectations.

Dr. István Hüse, CEO

Besides delivering high-quality code, RisingStack helped us train new staff, carried out code-reviews and made suggestions on improving our infrastructure.

Marton Csikos, Director of Engineering

Together, the mixed team was able to identify over 10 relevant topics and was able to solve most of them during the five day on-site engagement.

Reinis Vicups, CTO

Both consulting, developing and training sessions covered exactly what we needed, delivered on time.

Gabor Nadai, Head of Engineering

The thing we liked the most is that they adapt the training to all the different levels in the room and this makes it very easy to follow.

Melina Parisi, Head of Talents & Culture

They are deeply knowledgeable, flexible and reliable. They work hard to make sure that the relationship stays strong.

Patrick Flanagan, COO
5
Scaling Grid Platforms via Specialized Node.js AI

The masters of Node.js and Microservices. They helped us scale our grid optimization platform to handle millions of data points.

DevOps Eng
5
Securing Smart Grids via Exceptional Strategic AI

Exceptional at cloud-native architecture. Their focus on reliability and security in smart grids is world-class.

CTO, Energy
5
Bridging High-Load Gaps via Specialized Monitoring AI

They bridge the gap for high-load systems. Their monitoring tools for Node.js are the best in the market.

Innovation VP

10 mapped reviews · 16 published quotes

Showing 9 of 16, ranked by display order then recency.

Rating distribution
5
10
4
0
3
0
2
0
1
0

Ratings aggregate 16 reviews at the average shown above.

Transparent profile intelligence

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.

Tier 1 · Authoritative
Regulators, registries, certifications, signed client evidence.
Highest evidentiary weight
Tier 2 · Independent
Credible media, industry bodies, partner directories, third-party datasets.
Strong with attribution and recency
Tier 3 · Provider-controlled
Company site, case studies, press releases, structured submissions.
Accepted as a claim; verification raises weight
Tier 4 · Discovery-only
Directory listings, aggregations, and early discovery signals.
Used 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 out

What RankGlobal holds on file for RisingStack, and the three things worth confirming directly once you're in touch.

Primary category
MLOps & Infrastructure
Primary industry
Technology, Software & Digital Infrastructure
Typical budget
$25K - $75K
Team size
10-25 employees
  1. 1
    Name the use case

    Say which MLOps & Infrastructure problem you are evaluating, so the research team can route your message accurately.

  2. 2
    Pressure-test the budget band

    The $25K - $75K band on file is a profile-level figure. Ask what a scope like yours actually lands at.

  3. 3
    Ask for a reference

    Request a client reference in Technology, Software & Digital Infrastructure — the strongest industry signal on this profile.

Enquire about RisingStack

Three fields. Anything longer belongs on the full contact page, linked below.