See how 68 companies
use AI for predictive analytics

Context Windows brings together credible case studies on what companies are doing with AI, from across the open web. We compare their results so you can prioritise the use cases that are actually working.

Real-world implementations from

EPRI logoE
EPRIWeather forecasting
Liberty Energy logoL
Liberty EnergyOperations analytics
Nequi logoN
NequiCredit scoring
KOHO logoK
KOHOCredit scoring
Dude Wipes logoD
Dude WipesFlight risk analysis
EPRI logoE
EPRIWeather forecasting
Liberty Energy logoL
Liberty EnergyOperations analytics
Nequi logoN
NequiCredit scoring
KOHO logoK
KOHOCredit scoring
Dude Wipes logoD
Dude WipesFlight risk analysis
Try:,,
Showing 9 of 68 case studies
EPRI logoE

EPRI

Energy & Utilities|Mid-size

Weather forecasting

AgenticL2

Forecasts that took 10+ hrs on shared CPU clusters now run in 150 sec—giving grid planners time to act, not just react.

240xFaster Forecasting
via nvidia.com
Published Oct 1, 2026
Liberty Energy logoL

Liberty Energy

Energy & Utilities|Enterprise

Operations analytics

AgenticL2

Finance, supply chain, and field data scattered across cloud and on-prem systems—no unified view of profitability. One lakehouse, real-time.

30%Reduced Reporting Effort
via oracle.com
Published Sep 22, 2026
Nequi logoN

Nequi

Financial Services|Mid-size

Credit scoring

AgenticL4

Creditworthy but credit-invisible: millions of Colombians locked out. Graph ML mapped their behavior instead, making them legible to lending.

50%Credit Mgmt Cost Savings
via aws.amazon.com
Published Sep 7, 2026
Sigenergy logoS

Sigenergy

Energy & Utilities|SMB

Energy management

AgenticL2

Across 120 markets, fixed dispatch couldn't track pricing shifts or personal goals. AI now adapts to each grid, each user, each goal.

22%Cust. Revenue Increase
via aws.amazon.com
Published Aug 21, 2026
KOHO logoK

KOHO

Financial Services|Mid-size

Credit scoring

AgenticL2

Rent, phone bills, utilities paid on time—proof scattered across silos. Consolidated into AI profiles, the invisible became creditworthy.

6xLending Cost Reductionvs traditional lenders
via aws.amazon.com
Published Jun 26, 2026
Dude Wipes logoD

Dude Wipes

Consumer Products|SMB

Flight risk analysis

AgenticL3

Manually pulling flight risk data took half a day — so it never got done. Three words later, Rippling built a scoring rubric from scratch.

5 minsAnalysis Time Savedvs 4 hours of manual data assembly
via rippling.com
Published Jun 19, 2026
S

Singapore Civil Defence Force

Government & Public Sector|Enterprise

Published May 24, 2026
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