Innovation Example — Cognitive Cloud Forecasting (IBM)
How an existing forecasting product was enhanced, reframed, and patented using the same 3-phase approach that powers Innoreveal today.
Before founding Innoreveal, our founder Ankur Tagra applied a structured innovation-to-patent process within IBM’s cloud engineering group.
One key engagement involved a cloud forecasting engine built to predict resource usage and costs.
Although effective, the system appeared too generic for patent protection, surrounded by prior art from AWS, Azure, and other providers.
The challenge was to surface hidden novelty and strengthen the product’s technical distinctiveness.
A deep product and patent-landscape review revealed that the forecasting tool already exhibited behavior-driven intelligence — it analyzed how resources were toggled and aged over time, a dimension rarely covered in existing patents.
Mapping this behavior uncovered three potential invention opportunities related to lifecycle awareness and contextual feedback.
Impact: The analysis redirected the client’s R&D priorities toward these newly identified innovation clusters, converting overlooked functionality into a clear patent opportunity.
Working with the data-engineering team, Ankur proposed targeted improvements that introduced genuine novelty without rewriting the product:
Added probabilistic lifecycle modeling to predict active resource duration.
Embedded a cognitive feedback loop that refined forecasts based on deviation patterns.
Applied dynamic thresholding to classify high-impact resource clusters.
These enhancements transformed a linear predictor into a self-optimizing, cognitive forecasting system — technically distinct and patent-ready.
Impact: The improved architecture delivered measurable business value, including higher forecast accuracy and reduced cloud-cost volatility — benefits that later strengthened the company’s patent filing narrative.
The enhanced concept was packaged with full technical documentation and coordinated with IBM’s internal patent counsel.
The application was filed and granted by the USPTO as:
“Method and Apparatus for Cognitive Detection of Cloud Service Forecast Based on Continuous Probabilistic Resource Utilization Model.”
This success demonstrated how a structured innovation-audit approach can uncover and create patentable assets within existing enterprise systems — the foundation of Innoreveal’s present-day methodology.
Impact: The granted patent became a reference model for subsequent internal innovation programs and strengthened the client’s IP portfolio narrative to investors.
Innovation often hides inside operational systems.
By applying a disciplined 3-phase approach — Discovery, Enhancement, and Filing — functional products can evolve into defensible intellectual property.