See how 83 companies
use AI for infrastructure & platforms

Context Windows brings together credible AI case studies from the open web, so you can pick and prioritise the use cases that are already working.

Real-world implementations from

Stanford University logoS
Stanford UniversityResearch computing
Lyft logoL
LyftSelf-serve agent platform
Sony Group logoS
Sony GroupKnowledge management
BNB Chain logoB
BNB ChainAgent deployment
Zillow logoZ
ZillowConversational home search
Stanford University logoS
Stanford UniversityResearch computing
Lyft logoL
LyftSelf-serve agent platform
Sony Group logoS
Sony GroupKnowledge management
BNB Chain logoB
BNB ChainAgent deployment
Zillow logoZ
ZillowConversational home search
Try:,,
Showing 9 of 83 case studies
Pendo logoP

Pendo

Software & Platforms|Mid-size

Agent debugging

AgenticL3

Novus's agent drew on analytics or code—never both—invisible to the team. Traces caught it; 60% of problems now caught before customers.

25%Time Savings
via blog.langchain.com
Published Jul 2, 2026
BNB Chain logoB

BNB Chain

Software & Platforms|Mid-size

Agent deployment

AgenticL4

On-chain AI agents took weeks of stitching and ran trapped on local machines. BNB Agent Studio ships them globally in 15 minutes.

<15 minsAgent Deployment Timevs days or weeks
via aws.amazon.com
Published Jun 27, 2026
MISA logoM

MISA

Software & Platforms|Mid-size
up to

Enterprise workflow automation

AgenticL4

Leaning on external APIs for sensitive government workflows cost MISA control and cash. On-premise AI factory cut it.

90%HR Time Savings
via nvidia.com
Published Jun 26, 2026
Zillow logoZ

Zillow

Real Estate & Construction|Enterprise

Conversational home search

AgenticL2

Acquisitions fragmented data into silos; regulated datasets took months to unlock for AI. Unified governance made them available instantly.

<1 hourDashboard Time Savingsvs days or weeks
via databricks.com
Published Jun 23, 2026
Baz logoB

Baz

Software & Platforms|SMB
up to

Code review agents

AgenticL4

Agent failures at 1M ops/day meant engineers stitching logs, traces, and code to diagnose. Now every decision links to a commit in one view.

80%Eval Time Reduction
via datadoghq.com
Published Jun 16, 2026
Stanford University logoS

Stanford University

Education & Training|Enterprise

Research computing

AgenticL2

Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.

90x+Fitting Speed Increase
via nvidia.com
Published Jun 6, 2026