Predict exactly what and when your customers will buy. Train a custom, token-free AI model on your data to reduce stock-binding and reclaim lost revenue through automated order forecasting.
Replacing standard NLP with geometric behavioral embeddings. The ALiT-Method translates raw ERP data into cross-industry vector spaces to solve the B2B cold-start problem.
Capitalizing on a €3.5 Billion B2B TAM. Rapid market capture via IP-defensible deep-tech, bypassing US vendor lock-in to deliver a proprietary B2B foundation model.
Swiftron is not a rigid software tool, but a foundational algorithmic engine. By calculating the exact timing and content of future B2B transactions, you establish a single, sovereign intelligence layer to power multiple high-value applications across your entire value chain.
Maximize AOV by anticipating missing basket items in real-time.
Focus KAMs using daily, probability-ranked call lists.
Simulate granular, behavior-based revenue for exact budget planning.
Clear End-of-Life stock efficiently using probability-ranked buyer lists without resorting to blanket discounts.
Just as LLMs generate word after word to form text, Swiftron predicts the next products to forecast the next basket.
We are running an exclusive Validation Partnership with selected companies from non-competing industries. This initiative transforms your historical data into a sovereign predictive asset—no internal AI department required.
We deliver the foundational predictive model, while your existing IT provider builds the custom integration and manages your service. You keep your established setup. No IT partner yet? We will match you with a certified system integrator from our network.
It all starts with a simple CSV file. All we ever need for training is a raw export of your past order history. No complex product information. No customer metadata.
Absolute GDPR compliance. Raw customer and product IDs are locally hashed into irreversible geometric vectors before they ever reach our European training servers.
Draw a behavioral sequence from our real-world dataset. Watch our causal transformer outperform generalist LLMs on sparse B2B data.
Standard for B2C, collaborative filtering or time series models fails in industrial environments.
Addressable EU Mid-Market TAM.
ARR within 4 Years.
Strategic Angel Allocation. Seeking two partners with AI, B2B Retail, or SME expertise via convertible loan to unlock the state-backed BW Pre-Seed funding.
Use of Funds (24 Months)
We bridge the gap between deep-tech research and enterprise scalability. Industry doesn't speak text—it speaks transactional data.