Large Language Models

AI tools that generate, understand, and reason with natural language, including foundation models, instruction-tuned LLMs, and multimodal models.

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133

Use Cases

20

Tools

20

Companies

Large Language Models Tools

AB
Amazon Bedrock
AWS

Fully managed service for accessing foundation models from leading AI companies via AWS.

24
cases
AQ
Amazon Q Business
AWS

Enterprise AI assistant that retrieves answers from internal knowledge bases using generative AI and RAG.

2
cases
C
ChatGPT
OpenAI

General-purpose AI assistant by OpenAI used across industries for productivity and information tasks.

11
cases
C2
Chirp 2
Google Cloud

Google’s second-generation speech recognition model with improved accuracy across multiple languages and accents.

1
cases
C
Claude
Anthropic

Anthropic's AI assistant for analysis, writing, and reasoning tasks.

57
cases
CE
Claude Enterprise
Anthropic

Anthropic's enterprise AI platform with extended context windows and team collaboration features.

12
cases
CC
Cohere Command
Cohere

Large language model by Cohere optimized for enterprise text generation and retrieval-augmented tasks.

2
cases
D
DBRX
Databricks

Open-source large language model optimized for instruction following and code generation, trained by Databricks on MoE architecture.

1
cases
GA
Gemini API
Google Cloud

Developer API providing access to Google’s Gemini multimodal models for text, vision, audio, and code tasks.

1
cases
GG
Google Gemini
Google

Google multimodal AI model family

17
cases
GV
Google Vertex AI
Google

Google Cloud unified ML platform for building, deploying, and scaling AI models and generative AI applications.

17
cases
H
Harvey
Harvey AI

AI legal assistant that automates contract drafting, research, compliance, and document review for enterprise legal teams.

6
cases
IG
IBM Granite
IBM

Open-source foundation model family by IBM optimized for enterprise language and code tasks.

4
cases
I4
Imagen 4
Google Cloud

Google’s fourth-generation image generation model producing photorealistic and creative images from text prompts.

1
cases
MP
Microsoft Phi
Microsoft

Microsoft’s family of small language models optimized for efficiency, fine-tuning, and deployment in constrained environments.

1
cases

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Use Cases (133)

J
JAKALA
Under 24 hours, down from 5–7 working days
campaign optimization cycle

JAKALA is a European data and AI company with more than 3,600 staff across 30+ countries, delivering integrated AI services to clients in banking, insurance, luxury hospitality, and telecommunications. The company built its AI Factory around the Claude Agent SDK—deploying specialized Performance Agents across client media and marketing workflows—and rolled out Claude Enterprise to over 3,000 employees. Senior delivery teams redirected roughly 70 percent of their time from data assembly and reporting to strategic client work, while campaign optimization cycles fell from 5–7 working days to under 24 hours.

Professional ServicesCEClaude EnterpriseABAmazon Bedrock
P
Presien
70%+
reduction in critical safety events

Presien is an Australian physical AI company that runs computer vision models directly on heavy construction and mining machinery to detect hazards in real time. By connecting its six-year proprietary data infrastructure to Claude through MCP servers, Presien built /loop — an agentic intelligence platform that monitors worksites around the clock and surfaces risks before they become incidents. Within three months of early deployments, critical safety events dropped by more than 70% and safety managers replaced hours of daily video review with AI-generated morning briefings.

TechnologyCClaude
A
Allspice
20% → 97%
ingredient matching accuracy

Allspice is a food technology startup building a kitchen operating system that serves both home cooks and recipe publishers at scale. The company deployed Pinecone’s vector database as a semantic search layer to solve the fundamental problem of matching messy, real-world ingredient language to a structured internal database. Ingredient matching accuracy jumped from roughly 20% to 97%, enabling Allspice to launch its recipe importing feature and unlock new revenue streams for publishers.

Food & BeverageTechnologyOTOpenAI text-embedding-3-large
R
Rogo
50,000+
daily queries on the rogo platform

Rogo is an AI platform built specifically for institutional finance, serving more than 35,000 financial professionals at major banks, investment firms, and advisory practices who run over 50,000 queries per day. The company integrates Claude Opus 4.7 and Sonnet 4.6 into its core research, analysis, and artifact-generation workflows, and uses Claude inside Felix—its agent orchestrator for end-to-end financial assignments including building decks, financial models, and documents at institutional quality.

Financial ServicesCClaude
A
Adidas
30–40%
improvement in analyst efficiency in review-based decision-making

Adidas is one of the world's most recognized sports brands, operating across 150+ countries with a product line that requires constant feedback from a global customer base. The company deployed a RAG-based GenAI solution on Databricks to analyze more than 2 million product reviews, enabling 50+ decision-makers worldwide to extract actionable insights in seconds. The result was a 30-40% improvement in analyst efficiency, a 60% reduction in response latency, and 91.67% cost savings by optimizing LLM usage.

RetailCClaude
RS
Reno Salvage
1 afternoon
inventory system build time

Reno Salvage, an 86-year-old Nevada salvage yard, uses ChatGPT to troubleshoot equipment failures in real time, build a 1,000-item inventory system in a single afternoon, and answer complex technical customer questions on the spot — keeping operations running without costly downtime.

EnergyCChatGPT
FD
Fifth Dimension
50x
document processing capacity increase

Fifth Dimension, a UK-based AI analytics company serving the real estate industry, migrated to Google Cloud to overcome critical infrastructure bottlenecks. By adopting Vertex AI, Cloud Run, and serverless architecture, the company achieved 50x processing scalability, 6x revenue growth, and a 30% reduction in infrastructure costs — all within a rapid growth trajectory from founding in 2023 to global scale by 2025.

TechnologyCClaudeGGGoogle Gemini
A
Airtree
Reduced from 2 days to minutes
market & competitor research time

Airtree, a $2 billion Australian venture capital firm, deployed Claude Cowork as shared firm-wide infrastructure to unify fragmented data across tools like Notion, Slack, Google Drive, and Affinity. The team built custom Skills to automate board meeting prep, market research, and portfolio reporting — cutting multi-hour tasks down to minutes. What began as individual productivity gains quickly scaled into a collaborative system where Skills built by one person benefit the entire firm.

Financial ServicesCClaude
A
Anything
800,000+
apps created by users

Anything built a full-stack AI coding agent on Claude and the Agent SDK, enabling 1.5 million non-technical users to create production-ready software — from recruiting platforms to mobile apps — without writing a single line of code. In just five months, users shipped over 800,000 apps with a 91–96% agent success rate. Claude's reliable tool-calling, coding quality, and personality made it the clear choice for Anything's agent architecture.

TechnologyCClaude
S
Slack
97 minutes
time saved per user per week via summarization and recap features

Slack partnered with Anthropic to integrate Claude's AI models into its platform, enabling intelligent search, conversation summaries, and automated recaps. The collaboration saves the average user 97 minutes per week while unlocking organizational knowledge across billions of daily messages and files.

TechnologyCClaude
TR
Thomson Reuters
3,000+
subject matter experts' knowledge delivered via ai

Thomson Reuters integrated Claude via Amazon Bedrock into its AI platform, CoCounsel, to make the expertise of 3,000+ subject matter experts and 150 years of authoritative content accessible to legal and tax professionals. The solution combines Retrieval-Augmented Generation (RAG) architecture with multi-model deployment to deliver comprehensive, accurate professional analysis. Early adopters report dramatic efficiency gains, with some estimating task time cut in half or more.

Professional ServicesABAmazon Bedrock
CA
Cox Automotive
17 (from 57 evaluated)
production ai solutions

Cox Automotive deployed 17 production AI agent solutions using Amazon Bedrock AgentCore, reducing estimate completion from 48 hours to 30 minutes, achieving 3x consumer response rates, and projecting 17,000 hours saved.

AutomotiveABAmazon Bedrock
P
Pinterest
17% YoY
revenue growth

Pinterest built an AI-powered discovery engine on AWS processing 18TB daily, delivering 10 million AI recommendations per second across 10,000+ GPU instances, driving 17% revenue growth and 70% AI-driven discovery.

TechnologyABAmazon Bedrock
P
Postman
Up to 1,150/year
developer hours saved

Postman selected Claude Opus 4.6 as the default model for Agent Mode, saving developers up to 1,150 hours per year and nearly $1M annually for a 10-person team in API development automation.

TechnologyABAmazon Bedrock
S
Super-Pharm
50% to 90%
inventory accuracy

Super-Pharm leveraged Google Vertex AI for ML-powered demand forecasting, improving inventory accuracy from 50% to 90% and making forecasting 10x more efficient.

RetailGVGoogle Vertex AIGGGoogle Gemini
E
EVERSANA
30 minutes
campaign development time

EVERSANA built the first AI-powered marketing agency platform on Google Cloud using three master AI agents that create complete pharma campaigns in 30 minutes.

PharmaceuticalsGGGoogle GeminiGVGoogle Vertex AI
S
Shopify
< 24 hours
model upgrade deployment

Shopify built Sidekick, an AI commerce assistant powered by Claude Sonnet on Google Vertex AI, enabling millions of merchants to reach their first sale in days instead of weeks.

RetailGVGoogle Vertex AICClaude
U
UFC
3x
insight volume increase

UFC partnered with IBM to build the UFC Insights Engine using IBM watsonx Orchestrate, tripling insight volume while reducing query generation time by 40% across 40+ annual live events for 700 million fans worldwide.

Sports & EntertainmentIGIBM Granite
SF
Scuderia Ferrari HP
2x
daily active users increase

Scuderia Ferrari HP partnered with IBM Consulting to reimagine their mobile fan app using IBM watsonx AI, delivering AI-generated race summaries, personalized content, and interactive features that doubled daily active users and increased in-app engagement by 35%.

Sports & EntertainmentIGIBM Granite
BO
Blue Origin
2,700+
ai agents deployed

Blue Origin deployed 2,700+ AI agents with 70% company-wide adoption, achieving a 90% reduction in hardware development time using Amazon Bedrock.

ManufacturingAerospace & DefenseABAmazon Bedrock

Showing the 20 most recent of 133 use cases