Proof

Outcomes our clients can measure

Selected engagements showing how Jupiter AI turns complex challenges into durable operational advantage.

Real-time fraud scoring for a digital banking platform
Finance

Real-time fraud scoring for a digital banking platform

Challenge

Rule-based fraud controls generated high false positives and missed emerging attack patterns.

Solution

Built a streaming ML risk engine with explainable features, analyst console, and continuous model monitoring.

Results

Sharper detection with fewer customer friction events and clearer audit trails for compliance teams.

41%
Fraud loss ↓
28%
False alerts ↓
24/7
Scoring
Vision-based quality control on high-speed lines
Manufacturing

Vision-based quality control on high-speed lines

Challenge

Manual inspection could not keep pace with line speed, allowing defects to reach customers.

Solution

Implemented edge computer vision with PLC integration, defect taxonomy training, and plant-floor dashboards.

Results

Earlier defect detection, lower scrap rates, and consistent inspection quality across shifts.

55%
Defect escape ↓
18%
Scrap ↓
<50ms
Inference
Demand forecasting & inventory AI for multi-channel retail
Retail

Demand forecasting & inventory AI for multi-channel retail

Challenge

Overstocks and stockouts eroded margin as demand patterns shifted across channels and seasons.

Solution

Delivered hierarchical forecasting, replenishment recommendations, and BI views for merchandising teams.

Results

Better availability on key SKUs and reduced working capital tied up in slow movers.

22%
Forecast error ↓
15%
Inventory ↓
8%
GM uplift
Secure cloud migration for a regulated enterprise estate
Cloud

Secure cloud migration for a regulated enterprise estate

Challenge

Aging on-prem systems limited agility while creating operational and compliance risk.

Solution

Executed a wave-based migration with landing zone controls, data validation, and FinOps instrumentation.

Results

Modernized core workloads with improved resilience and clearer cost accountability.

34%
Infra cost ↓
99.95%
Availability
0
Critical cutover issues
Generative AI copilot for enterprise knowledge workers
Operations

Generative AI copilot for enterprise knowledge workers

Challenge

Employees struggled to find policy answers across fragmented document repositories.

Solution

Launched a governed RAG assistant with role-based retrieval, citation display, and usage analytics.

Results

Faster answers, higher self-service rates, and reduced load on shared-services teams.

70%
Search time ↓
4.6/5
User rating
12 wks
To production

Want results like these for your organization?

Share your challenge. We’ll outline a practical path from discovery to measurable impact.