Where enterprise expertise meets modern technology. We build digital solutions that deliver real ROI.
A software studio combining deep enterprise expertise with modern data platforms and AI. We engage deeply with your challenges — whether it's a decade-old SAP landscape, a complex data pipeline, or an AI assistant your team actually uses.
We are not generalists. We go deep in our domains and deliver working software that drives ROI.
Domain specialists in SAP, data engineering, AI, and environmental data.
Cloud-native tools, LLMs, and platforms that scale with your business.
We measure success in business outcomes — not lines of code or slide decks.
We specialise in four high-complexity domains where experience and precision translate directly into competitive advantage.
End-to-end SAP expertise across the full analytics stack. We handle migrations and modernization: from BW and BW/4HANA to S/4HANA Embedded Analytics, SAP Datasphere, and SAC. Strategy, implementation, and beyond.
Scalable pipelines and cloud-native data platforms built for operational complexity. From ingestion to orchestration to reporting — across retail, logistics, and regulated industries where reliability is non-negotiable.
From document intelligence and RAG pipelines to autonomous agentic workflows — we build AI systems grounded in your data that your teams actually adopt. Including computer vision and deep learning for real-time monitoring use cases.
Integrating NWP model outputs, satellite imagery, and real-time sensor data into operational systems. We build the infrastructure to turn environmental data into decision-ready signals for logistics, agriculture, energy, and beyond.
our stack
A sample of the complex problems we've solved for real organizations.
Implemented a full SAP-based financial planning suite for a major international fashion retailer, covering balance sheet reporting, P&L analysis, assortment planning, and merchandise management. Unified multi-country financial data into a single SAC-driven planning layer for controlling and buying teams worldwide.
Designed and extended an SAP-driven planning ecosystem for a large European food retail corporation spanning thousands of locations. Delivered solutions across financial controlling, real-estate portfolio management, and logistics coordination — enabling consistent group-level insight at enterprise scale.
Built an LLM-powered knowledge assistant for an organization with a large corpus of internal documentation — technical reports, scientific literature, procedural PDFs, and structured datasets. The system ingests, chunks, and indexes documents automatically, then answers natural-language queries with cited sources. Staff went from manually searching hundreds of PDFs to getting precise answers in seconds.
Built a data-driven planning optimization engine for a moving and relocation services company. Modeled resource allocation, vehicle routing, and crew scheduling to replace manual planning processes — improving operational predictability and significantly reducing planning overhead.
We built and actively use an MCP (Model Context Protocol) server that exposes SAP Datasphere APIs to Claude-powered agents. During development, this lets us interact with Datasphere entities, run queries, and inspect metadata through natural language — dramatically reducing the back-and-forth between documentation and implementation. The result is faster delivery cycles and fewer integration errors on SAP projects.
Designed and deployed an end-to-end computer vision system running on constrained edge hardware — Raspberry Pi with Intel RealSense depth cameras. The system performs real-time object detection, behavioral analysis, and anomaly flagging entirely on-device, with no cloud dependency for inference. Demonstrates that production-grade deep learning isn't limited to the cloud: we can bring AI to the physical environment, directly where the data is generated.
Two founders, complementary domains, one shared obsession: deliver added value for the customer.
Founder & CEO
MSc in Data Science, entrepreneur, and former management consultant. Philipp combines a rare depth of business domain knowledge with genuine technical understanding — making him the person clients talk to when the problem is hard to define, not just hard to solve. He leads customer relationships at Sciscry, bridging the gap between what a business needs and what technology can deliver.
Co-Founder, Data & Technology
Ph.D. in Physics and MSc in Meteorology. Piero is the kind of engineer who doesn't accept "it can't be done" — an analytical thinker who works through complexity until a solution emerges. He leads the technical side of Sciscry: AI system design, LLM-powered agents, data platform architecture, edge computing, and anything else that requires first-principles thinking and a bias for getting it built.
We work with companies where the stakes are high and complexity is the norm.
Sciscry delivered what others said was too complex. On time, on budget, and it actually works.
— Operations Director, Manufacturing Group