Tuğra Gülsoy
Co-Founder
International Mathematics Olympiad competitor and CS background. Studying at TU Munich.
CellWise helps manufacturing companies create clean, validated master data for faster ERP migration, then keeps that data current through ongoing master data management.
CellWise turns months of manual master data preparation into a structured workflow: AI-assisted creation and validation, human-in-the-loop review, BOM explosion testing, and deterministic ERP conversion.
ERP systems such as SAP, Oracle, and Microsoft Dynamics can only work with reliable master data. When item masters, BOMs, and routing records are incomplete or duplicated, migration slows down before implementation work can move.
Manufacturers worldwide face the same bottleneck: master data scattered across departments, spreadsheets, and legacy systems.
Whether a company runs 50 or 5,000 SKUs, item masters, BOMs, and routing data need to be clean before any ERP migration can succeed.
ERP adoption stalls globally because data preparation feels expensive, risky, and difficult to audit — regardless of region or ERP vendor.
Co-Founder
International Mathematics Olympiad competitor and CS background. Studying at TU Munich.
Co-Founder & CBO
Workup and YGA alumnus, bridging manufacturer needs and business strategy. Studying at ETH Zurich.
Co-Founder
TÜBİTAK winner, focused on engineering and practical AI for manufacturing teams. Studying at TU Munich.
Co-Founder
TÜBİTAK winner and two-time robotics world champion. Product architecture and AI engineering. Studying at TU Munich.
CLW is designed to keep master data portable. CellWise should reduce ERP lock-in, not create a new one.
Manufacturing data must be correct, traceable, and reviewable. We prefer clear limits over vague AI claims.
The product is shaped around manufacturing teams everywhere — messy source files, practical constraints, and real ERP timelines.
AI parses, extracts, normalizes, and recommends. Deterministic rules handle final CLW to ERP conversion.
Customer production data is not used for model training. Data isolation and ownership are core product principles.