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CloudRaft

MLOps & Infrastructure · Automation & Workflow · LLM Agents & RAGAhmedabad, IndiaFounded 2022

Technology consulting firm specializing in AI infrastructure on Kubernetes, offering MLOps expertise and its open-source "Kagent" platform to scale cloud-native AI operations. RankGlobal maps its primary capability to AI Platform Engineering within MLOps & Infrastructure, with supporting relevance to MLOps, AI Agents.

4.9
Average rating
10
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 CloudRaft 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

Technology consulting firm specializing in AI infrastructure on Kubernetes, offering MLOps expertise and its open-source "Kagent" platform to scale cloud-native AI operations. RankGlobal maps its primary capability to AI Platform Engineering within MLOps & Infrastructure, with supporting relevance to MLOps, AI Agents. Its strongest supplied industry signals align with Software & SaaS, HealthTech Platforms, FinTech Platforms.

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 · 4 categories
Technology

Platforms, methods and technical signals

KubernetesPostgreSQL| ClickHouse| PrometheusDockerKubeRayMLOpsCloudflareScalaReact Native

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

Expertise

Named expertise on file

  • Cloud Native Infrastructure

    Cloud-native infrastructure refers to the design, construction, and management of workloads that are built in the cloud and take full advantage of the cloud computing model.

    KubernetesCloud ComputingDevOps
  • MLOps

    MLOps, or Machine Learning Operations, is a set of practices that aims to deploy and maintain machine learning models in production reliably and efficiently.

    Machine LearningAutomationEngineering
  • Platform Engineering

    Platform engineering is the discipline of designing and building toolchains and workflows that enable self-service capabilities for software engineering organizations.

    InfrastructureAutomationSoftware Development
RankGlobal provider intelligence
Analyst brief

Mapped Evidence Report

A decision-support view of CloudRaft, 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 rating4.93 · median 4.83
Mapped reviews10 · median 10
Profile completeness100% · median 100%
Taxonomy breadth20 · median 20
Signal radar
Multi-dimensional evidence
RatingReviewsCoverageBreadth
This profile (percentile) Peer median
Capability mix
Mapped category signal
MLOps & Infrastructure96%
LLM Agents & RAG80%
Automation & Workflow76%
Natural Language Processing76%

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

Mapped industries
3 industries on the map
3
Financial Services & Insurance50%
Technology, Software & Digital Infrastructure33%
Healthcare & Life Sciences17%

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

Evidence mix
Mapping grades
Direct15% · 3
Supported70% · 14
Adjacent15% · 3

Imported mapping grades across 20 taxonomy mappings — not a search ranking.

RankGlobal analyst interpretation

What the mapped signals say

CloudRaft presents as a strong evidence profile for MLOps & Infrastructure. It ranks in the 60th percentile of 668 published providers in MLOps & Infrastructure, and 10 reviews back the commercial profile.

Current positioning: P60 evidence quality · P52 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
10
Reviews
4.9
Average rating
0
Publicly reshared
Published
Listing status
How this report is calculated →
Capabilities

Evidence-led AI expertise.

Capabilities are listed with their mapping grade (Direct, Supported, Related, or Adjacent).

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.

5
Rapid Kubernetes Migration and Top-Tier Expertise

CloudRaft's Kubernetes expertise is top-tier. Migrated 60+ resources in under 30 minutes. Responsiveness and timely delivery exceeded expectations for a mission-critical project.

VP Engineering (Global E-commerce)
5
Robust MLOps Pipelines for AI Infrastructure

Engaged for GPU Cloud and AI infrastructure setup. Delivered a robust MLOps pipeline that scales seamlessly with our LLM fine-tuning needs. A partner that truly moves fast.

CTO (AI Startup)
5
Deep Insights via OpenTelemetry and Kubectl-Olly

Observability setup using OpenTelemetry gave us deep insights previously lacked. The 'kubectl-olly' tool they introduced is incredibly intuitive.

Head of Infrastructure (Fin-Services)
5
High-Availability Pipelines for Database Consulting

Expert consulting for PostgreSQL and ClickHouse pipelines. Focus on high availability allowed us to launch our BaseSpace project on day one with full confidence.

Lead Architect (Enterprise Software)
5
Tailored Scaling for E-Commerce Challenges

Highly communicative and customer-centric. Provided well-tailored inputs specific to our e-commerce scaling challenges. Highly regarded partner.

Director of DevOps (E-commerce)
5
30% Efficiency Gain via Multilingual Voice AI

Implementing a Multilingual Voice AI Assistant seemed daunting until CloudRaft. Their Agentic AI approach improved operational efficiency by over 30%.

Founder (QSR Chain India)
5
Transforming Cluster Security and Attack Surfaces

Helped integrate Wazuh and Kubescape for K8s security. Ability to minimize attack surface based on runtime insights transformed our cluster security.

Senior DevOps Engineer (Cybersecurity)
5
20% AWS Savings via Strategic Audits

Audit identified significant waste in our AWS environment. Their remediation strategy saved us roughly 20% on our monthly bill within the first quarter.

Product Manager (Tech Services)
5
Impactful Platform Engineering and Global Networks

Impressive international network and deep technical expertise. Platform Engineering sessions were more impactful than the initial proposal. True expert partner.

Executive Leader (Logistics Partner)

10 published quotes on this profile.

Showing 9 of 10, ranked by display order then recency.

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

Ratings aggregate 10 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 CloudRaft, 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 CloudRaft

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