Swiftron Unlock Your Full Potential with AI.
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.
Swiftron Foundation ModelMade in Europe
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.
The platform behind our modules: connect order data, train your own AI model, and put modules like the B2B newsletter into productive use. Your customer data remains encrypted throughout.
Eliminated silent churn by automatically anticipating customer needs and timing cross-selling outreach perfectly.
Unified our transaction predictions with Heinz.AI's enterprise knowledge to drive context-aware business decisions.
Validated our foundation model on real-world datasets through joint academic projects and business case studies.
Accelerated our go-to-market strategy and validated our deep-tech business model within the regional innovation ecosystem.
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.
The B2B newsletter that arrives exactly when your customer needs to reorder. €0 setup, pay only on increased revenue. Learn more →
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.
In 15 minutes, the founders will show you what our model predicts for your industry and which use cases will pay off for you.
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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.
After training, we provide a production-ready Docker image. It runs efficiently on CPU or GPU across public clouds, private clouds, or strict on-premise environments. The container ships with the AI model and all necessary inference functions included, allowing immediate integration via API, MCP, or direct calls. Standard monitoring tools like Grafana can also be integrated.
Securely aggregate and hash your ERP exports directly in your browser. No data ever leaves your device.
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We use your individual historical data to fine-tune our foundation model. This is done using LoRA adapters, which efficiently update only a tiny fraction of the model's neural weights. This approach preserves the robust, cross-industry behavioral patterns our model already knows, while perfectly adapting the predictions to your specific niche.
Connect order data via CSV or API and prepare it in the visual editor. No code, automatically up to date.
Your own AI model, trained on your purchase history. Before deployment, you can see how well it predicts orders.
Customer data remains encrypted with you. The model only learns from anonymized purchase histories.
Every customer receives their email exactly when they need to reorder. €0 setup, payment only upon increased sales.
We bridge the gap between deep-tech research and enterprise scalability. Industry doesn't speak text—it speaks transactional data.
