ProductUpdated on 20 April 2026
prognotix - AI Forecasting Software Platform
Account Executive at Cloudflight
Kiel, Germany
About
prognotix empowers planners across industries to tackle large-scale, complex forecasting challenges with ease.
Unlike enterprise AI forecasting software that requires months of implementation and dedicated data science teams, prognotix puts the power of AI forecasting directly into the hands of your planners.
Upload data from your ERP, Data Lake, or a simple spreadsheet. Choose from 70+ proven forecasting models, from statistical baselines to advanced machine learning and see results in days, not months. All running securely within your own Azure environment.
Integration-First Architecture
Maximize forecasting value without disrupting your enterprise landscape.
prognotix is built to integrate into existing ERP, Data, and Analytics architectures instead of competing with them. By complementing systems like SAP, D365, Oracle, Databricks, Fabric and Power BI, prognotix avoids functional overlaps and prevents data silos by safeguarding your single source of truth. This ensures that forecasts integrate seamlessly into both operational workflows and executive decision-making processes.
Connect Your Data in Minutes
Turn existing data into better forecasts. But faster.
Ingest data directly from Excel or CSV files, connect directly to your Data Lake (Microsoft Fabric or Databricks), or integrate with ERP and other enterprise systems via API. Quickly test assumptions, enrich forecasts with new signals, and iterate without creating effort for IT.
No-Code Interface for Business Users
Empower planners without creating IT or data science workload.
prognotix enables planners to build, test, and refine forecasts independently, applying their market knowledge without effort for IT or data science teams. Forecasts are automatically reconciled across hierarchies, ensuring consistent and auditable numbers from SKU level to executive roll-ups. Beyond a single baseline, planners can run scenario-based forecasts to assess alternative assumptions, support risk management, and evaluate trade-offs before decisions are made. This turns forecasting from a static planning task into an agile process, standardized across business units, yet flexible enough to respond to market volatility.
70+ AI Models with Built-in Transparency
Reliable forecasts you can explain and audit.
From ARIMA and ETS to LSTM, TimeGPT, and further modern deep-learning approaches, prognotix orchestrates over 70 forecasting models and automatically selects the best fit per time series. Our agile workflow provides explainability and performance metrics leading to confidence, and trust for operational teams and executive stakeholders alike.
Secure, Scalable, Azure-Native
AI forecasting without compromising data sovereignty or compliance.
prognotix runs as an Azure Managed Application entirely within your own Azure tenant. Forecasting data never leaves your environment, ensuring full data sovereignty, compliance with enterprise security standards, and seamless alignment with existing Azure governance and IT policies.
Scalable Across Use Cases and Industries
One forecasting platform, for your entire business.
Whether demand planning, procurement, production, inventory, or financial forecasting, prognotix scales across industries and use cases. Handle new products, volatile markets, and growing complexity without introducing additional tools or fragmented processes, establishing a transparent and consistent standard across business units and your entire supply chain.
Future-Ready Platform
We build our platform to evolve with your organization and the next generation of AI.
prognotix is designed for long-term adaptability, not short-term trends. Its cloud-native, integration-first architecture allows seamless interaction with AI agents, automation layers, and advanced analytics, while keeping humans firmly in control. This enables gradual adoption of agent-driven workflows, scenario automation, and decision support as your AI maturity grows, without compromising governance, transparency, or existing processes.
Looking for
- Buyer
Applies to
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- Integrated energy systems and mobility (Energy)
- Research and development (Research & Technology)
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