What This Service Delivers
From hypothesis to evidence in weeks
2-4
Weeks to Working POC
Built on your data and infrastructure
Real
Data, Real Results
No synthetic demos or curated datasets
Built-in
Evaluation Framework
Metrics, monitoring, and go/no-go criteria included
Impact
What a production-shaped POC changes
Faster
Go/no-go decisions
Real evidence in weeks instead of months of internal exploration.
Lower
Risk to scale
POC architecture mirrors production, so scaling is extension, not rebuild.
Clearer
Stakeholder confidence
Leadership sees results on real data, not curated demos.
Client Stories
How POCs turned into production systems
A financial services team tested an anomaly detection model on six months of transaction data and had a production deployment approved within three weeks of POC completion.
The POC was designed with production constraints from the start — latency requirements, data freshness, and compliance guardrails. When results exceeded the threshold, the path to production was already clear.
Deliverables
What the POC includes
Hypothesis Definition
Scoping document
Clear problem statement, success criteria, and evaluation metrics agreed before build begins.
Working Prototype
Functional system
A running system connected to your data sources with API endpoints, UI, or integration hooks as needed.
Evaluation Report
Results and analysis
Performance metrics against success criteria, failure mode analysis, and recommendations for next steps.
Scale-Ready Architecture
Technical blueprint
Documentation of the production path including infrastructure, security, monitoring, and cost projections.
Related Use Cases
POC starting points
Fraud and anomaly detection
Anomaly scoring and ranked investigation queues that detect suspicious patterns.
Inventory stockout risk prediction
Stockout risk alerts by site and SKU with recommended replenishment actions.
