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Compare providers

Select hyperscalers and compare which technologies, platforms, and capability patterns show up most often in real enterprise AI deployments.

Comparison scope · 5 selected
Compared

5

Selected providers.
Case memberships

3,791

Sum of matching records per selection. A deployment may appear in several selections. 5 of 5 selections loaded.
Recent cases

229

Latest 180-day sampled signal.
Sample depth

287

Cases inspected for context metrics.

Decision lens

Technology stack
AI services
Capability patterns
Adoption contexts

Microsoft

2,177 indexed cases, 70 sampled for context.

Copilot Studio
Indexed cases
2,177
Recent signal
70
Avg. innovation
Not scored
Technology breadth
130

Profile signals

Technology stack: Copilot Studio, Azure OpenAI, Microsoft 365 CopilotCapability pattern: AI agents, CopilotAdoption context: Professional Services, ManufacturingCustomer signal: Agora, ARUM
Evidence quality

Recent share of sample

100%

70 of 70 sampled cases are recent.

Sample coverage

3%

70 of 2,177 indexed cases inspected.

Breadth score

107

Unique technology, capability, industry, geography, and customer signals in the sample.

Source mix

customer_story

Microsoft, Technology Record

AWS

837 indexed cases, 70 sampled for context.

Amazon Bedrock
Indexed cases
837
Recent signal
70
Avg. innovation
Not scored
Technology breadth
76

Profile signals

Technology stack: Amazon Bedrock, Amazon S3, AWS LambdaCapability pattern: AI agents, RAGAdoption context: Tech & Comms, FinanceCustomer signal: Condé Nast, Abit
Evidence quality

Recent share of sample

100%

70 of 70 sampled cases are recent.

Sample coverage

8%

70 of 837 indexed cases inspected.

Breadth score

105

Unique technology, capability, industry, geography, and customer signals in the sample.

Source mix

customer_story

AWS, Amazon Web Services

Google Cloud

700 indexed cases, 70 sampled for context.

Gemini Enterprise Agent Platform
Indexed cases
700
Recent signal
70
Avg. innovation
Not scored
Technology breadth
157

Profile signals

Technology stack: Gemini Enterprise Agent Platform, BigQuery, GeminiCapability pattern: AI agents, RAGAdoption context: Tech & Comms, Consumer & FoodCustomer signal: TELUS, ADEO
Evidence quality

Recent share of sample

100%

70 of 70 sampled cases are recent.

Sample coverage

10%

70 of 700 indexed cases inspected.

Breadth score

107

Unique technology, capability, industry, geography, and customer signals in the sample.

Source mix

customer_story

Google Cloud

Oracle

27 indexed cases, 27 sampled for context.

OCI Generative AI
Indexed cases
27
Recent signal
7
Avg. innovation
Not scored
Technology breadth
43

Profile signals

Technology stack: OCI Generative AI, Oracle Digital Assistant, Oracle Health Clinical AI AgentCapability pattern: AI agents, RAGAdoption context: Healthcare, Professional ServicesCustomer signal: Aon, ARENCO Group
Evidence quality

Recent share of sample

26%

7 of 27 sampled cases are recent.

Sample coverage

100%

27 of 27 indexed cases inspected.

Breadth score

46

Unique technology, capability, industry, geography, and customer signals in the sample.

Source mix

customer_story

Oracle, Accenture

IBM

50 indexed cases, 50 sampled for context.

IBM watsonx Orchestrate
Indexed cases
50
Recent signal
12
Avg. innovation
Not scored
Technology breadth
52

Profile signals

Technology stack: IBM watsonx Orchestrate, IBM watsonx.ai, IBM CloudCapability pattern: AI agents, Multi-agentAdoption context: Finance, Tech & CommsCustomer signal: IBM, Recording Academy
Evidence quality

Recent share of sample

24%

12 of 50 sampled cases are recent.

Sample coverage

100%

50 of 50 indexed cases inspected.

Breadth score

81

Unique technology, capability, industry, geography, and customer signals in the sample.

Source mix

customer_story

IBM, Incede.ai

Provider technology readout

What this comparison suggests

This view emphasizes technology stack breadth, leading AI services, co-mentioned platforms, and capability patterns across provider ecosystems. Context metrics use recent, bounded samples of up to 70 cases per selection. They describe the sample, not market share or a complete adoption ranking.

Largest evidence base

Microsoft has 2,177 indexed cases.

Sampled technology breadth

Google Cloud has 157 distinct technologies in the sample.

Recent sampled cases

Microsoft, AWS, Google Cloud tie at 70 sampled cases published in the last 180 days each.

Recent share of sample

Microsoft, AWS, Google Cloud tie at 100% recent share of sampled evidence each.

Sampled profile breadth

Microsoft, Google Cloud tie at 107 market, ecosystem, and capability signals in the sample each.

Show the full providers comparison table

Side-by-side signals

Providers comparison table

providerIndexedRecentRecent share of sampleCoverageInnovationTop technologiesTechnology breadthCapability patternTop industryTop customer
Microsoft2,17770100%3%Not scoredCopilot Studio, Azure OpenAI, Microsoft 365 Copilot130AI agents, CopilotProfessional ServicesAgora
83770100%8%Not scoredAmazon Bedrock, Amazon S3, AWS Lambda76AI agents, RAGTech & CommsCondé Nast
GCP70070100%10%Not scoredGemini Enterprise Agent Platform, BigQuery, Gemini157AI agents, RAGTech & CommsTELUS
27726%100%Not scoredOCI Generative AI, Oracle Digital Assistant, Oracle Health Clinical AI Agent43AI agents, RAGHealthcareAon
501224%100%Not scoredIBM watsonx Orchestrate, IBM watsonx.ai, IBM Cloud52AI agents, Multi-agentFinanceIBM

Evidence examples

Recent cases behind this comparison

AWSNov 2026

Rivian automates SAP purchase-order accruals with Amazon Bedrock AgentCore

Rivian deployed an AI-driven ERP agent to automate purchase-order accrual accounting for custom tooling, a finance workflow spanning many active purchase orders and long supplier delivery cycles. The agent interprets finance standard operating procedures, handles SAP exceptions, gathers purchase-order context, confirms delivery schedules, calculates straight-line accruals, prepares parked journal entries, and routes them for human approval.

AWSOct 2026

Variational AI uses generative AI to accelerate drug discovery

Variational AI developed Enki, a generative AI platform for designing novel small-molecule candidates based on target properties. Enki's foundation model was trained on published, approved, and patented drug data and generates candidates optimized across efficacy, safety, potency, and selectivity. For each pharmaceutical partner, Variational AI deploys a dedicated AWS Virtual Private Cloud (VPC) and performs compute within that environment to separate proprietary partner data from internal compute.

AWSOct 2026

Voxelis equips wildfire helicopters with real-time AI intelligence

Voxelis AI developed VoxVision, an aircraft-mounted system that analyzes thermal imagery and environmental data to provide wildfire-response intelligence. Data captured aboard aircraft and AI-generated insights are processed and shared through AWS infrastructure with authorized response personnel.

MicrosoftSep 2026

Project Courage consolidates behavioral health workflows on Microsoft Power Platform

Project Courage, a Connecticut addiction and mental health center, consolidated disconnected paper-based and digital workflows into a shared digital platform for behavioral health operations. The platform provided a common foundation for clinical intake, treatment episodes and documentation, and financial administration, alongside document generation, signatures, and operational tracking.

OracleSep 2026

Onc.AI deploys precision oncology MLOps on Oracle Cloud Infrastructure GPUs

Onc.AI develops imaging biomarkers to help oncologists and pharmaceutical researchers predict patient survival and treatment response. The company deployed its enterprise MLOps platform on Oracle Cloud Infrastructure and moved workloads to OCI GPU instances for model training and clinical deployment.

MicrosoftSep 2026

Nationwide deploys Microsoft 365 Copilot to modernise banking behind the scenes

Nationwide Building Society rolled out Microsoft 365 Copilot across its workforce. In finance, 1,000 employees with premium licences use it to turn notes into drafts, summarise meetings, shape messages, extract actions and collaborate across Nationwide and Virgin Money. The wider modernization program replaced legacy core banking systems, moved services to the cloud and consolidated 19 data stores onto Microsoft Azure and Azure Databricks. Nationwide also reports engineers using GitHub Copilot and Azure OpenAI; agent development is described as a future phase.