Synthefy and NetApp are collaborating to transform how enterprises leverage time series intelligence. By combining structured and unstructured metadata with advanced AI models, Synthefy enables context-aware, multi-modal forecasting across infrastructure, supply chain, sales, and finance. This partnership helps organizations move beyond static predictions to scenario-driven planning, answering not only ‘what’s next?’ but also ‘what if?’

The Challenge with Traditional Forecasting

Enterprises generate massive amounts of telemetry from infrastructure, sales, and operations. Yet most conventional time series models remain one-dimensional. They rely only on historical patterns and ignore richer signals like workload type, metadata, economic shifts, or regional demand trends.

As a result, businesses face gaps across key units:

• Infrastructure teams can’t predict performance or capacity accurately.
• Supply chain teams can’t simulate demand shifts across geographies.
• Sales and finance teams struggle to align forecasts with pipeline signals or macroeconomic context.

This creates silos, limited accuracy, and no ability to ask what-if questions—a critical need in today’s dynamic markets.

The Synthefy Approach: Multi-Modal Forecasting

Through NetApp Excellerator Cohort 14, Synthefy is developing a foundation model that ingests both raw time series and contextual metadata. This includes system logs, deployment specifications, product hierarchies, geographic labels, sales pipeline stages, and macroeconomic signals.

By combining these inputs, Synthefy enables:

• Infrastructure forecasting: Predict IOPS, latency, and congestion based on workload type, tier metadata, and historical usage.
• Supply chain forecasting: Model demand fluctuations by channel or region. Example: “What if demand for all-flash arrays rises 20% in Asia Pacific?”
• Sales pipeline forecasting: Forecast bookings using pipeline stage, sales velocity, and territory coverage.
• Revenue forecasting: Simulate revenue impact from late-stage deal slip, FX rate changes, or economic triggers.
• What-if scenarios: Explore questions like “What happens if EMEA deal conversion drops 15%?” or “How does NAND pricing volatility affect margins in H2?”

Why It Matters

This unified, context-aware forecasting platform creates value across the enterprise:

• One model, many applications: A single foundation model powers forecasting for infrastructure, supply chain, sales, and finance—reducing the need for multiple tools.
• Faster, more reliable forecasts: Natural-language prompts and structured inputs enable scenario-driven insights.
• Cross-functional alignment: Teams across business units can now collaborate on shared planning simulations.

Data Governance and Compliance

NetApp and Synthefy are advancing dynamic, scenario-based forecasting while upholding strict data governance principles. All models are trained within NetApp’s secure environments, ensuring protection of Personally Identifiable Information (PII) and Confidential or Critical Information (CII). No sensitive customer data leaves NetApp’s systems.

This guarantees enterprise-grade privacy and compliance without sacrificing innovation.

Looking Ahead

From predicting congestion in hybrid cloud deployments to simulating global supply chain shifts or modeling revenue risks, Synthefy and NetApp are pioneering a new era of time series intelligence.

With multi-modal forecasting, enterprises can move beyond answering “what happened?” to answering “what’s next?” and “what if?”—delivering actionable insights for infrastructure, operations, and business growth.

Conclusion

Synthefy, in collaboration with NetApp, is redefining enterprise forecasting by combining advanced AI with rich contextual metadata. Its multi-modal, scenario-driven approach enables accurate predictions across infrastructure, supply chain, sales, and finance, allowing organizations to ask both “what’s next?” and “what if?” questions. By unifying diverse data sources into a single foundation model, Synthefy reduces silos, accelerates decision-making, and improves cross-functional alignment. With strong data governance, enterprise-grade compliance, and secure model training, the platform delivers actionable insights reliably. This partnership marks a transformative new era in time series intelligence, empowering businesses to plan confidently in a dynamic, complex, and rapidly evolving environment

Disclaimer

This article is based on information originally published by YourStory. All rights and credits for the original reporting belong to YourStory and the respective author. The content here has been adapted for informational purposes.