From technology discovery to design, manufacturing and production learning — one traceable architecture built to preserve the reasoning behind industrial decisions.
Research, standards, supplier information and engineering judgement are fragmented. Generic AI can summarize quickly, but a fluent answer is not a validated engineering decision. IIOS is designed to connect the evidence, uncertainty and authority boundaries across the workflow.
Designed to complement existing ERP, PLM, CAD, MES and QMS environments — not replace them.
Starts with an industrial objective. Discovers technology candidates, validates supporting evidence, preserves provenance and produces distinct evidence and commercialization/maturity rankings.
Connects technology decisions to requirements, functional decomposition and traceable engineering definitions.
Extends engineering definitions into standards-backed material selection, manufacturability analysis and process planning.
Designed to connect production outcomes and quality evidence back to upstream decisions through validated learning.
IIOS is designed around a simple boundary: AI can support industrial reasoning, but it does not become engineering authority merely by producing a convincing answer.
Material claims should retain their supporting sources and decision context.
Evidence strength, commercialization maturity and constraint compliance remain distinct.
Insufficient support should be made explicit, not hidden behind manufactured confidence.
Capabilities exercised on a real industrial corrosion use case. Historical runs are not represented as current production acceptance.
Demonstrated capabilitiesCurrent integrated version undergoing end-to-end testing and acceptance.
In progressNext objective: evaluate a fresh, independently defined industrial challenge against agreed criteria.
PlannedFirst paid customer validation and recurring enterprise licensing remain future milestones.
Not yet achievedTIOS is pre-commercial. DIOS, MIOS and PIOS are architecture-defined and are not represented as implemented products. No paying customers or external pilots are claimed.
IIOS is a founder-led initiative developed by Cem Fadıllıoğlu, a mechanical engineer with professional experience spanning strategic procurement, quality, aerospace and industrial powertrain organizations.
The platform is being developed to address a recurring industrial problem: decisions lose their evidence, assumptions and rationale as they move between engineering and operational functions.
Company: Teknoka Endüstri ve Dış Ticaret Anonim Şirketi · Ankara, Türkiye. IIOS is a platform initiative; this website does not imply that a separate IIOS legal entity has been incorporated or that ownership of IIOS intellectual property has been independently verified.
For technical discussions, industrial validation opportunities or strategic enquiries.
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