The Strategic Data Foundation for Enterprise AI
Intelligence Starts with the Spec
The only AI platform for specifications, packaging, and products. Specright grounds AI in your unique product DNA to transform data into strategic action.
Power AI with the Right Data
AI can only deliver value when it’s built on complete, accurate product data. At the core of Specright is SpecGraph, a unified data model that connects specs, BOMs, and complex supply chain relationships. This structured foundation ensures AI insights are accurate, governed, and ready for action. Take a look at Specright’s focus area’s below:
Network
Manage end-to-end processes for sharing, extracting, structuring, and ingesting data from any document, in any format, and from any source across all supply chain partners. Learn more about Supplier Network.
Insights
A natural language experience that makes it easier to search, analyze, modify, and create spec data for a better, faster user experience. Learn more about AI Assistant.
Agents
Automate goal-oriented workflows that can be triggered by users, events, or schedules within or from outside the enterprise. Learn more about specialist agents for packaging selection and data anomaly detection.
Workbenches
Guided environments that orchestrate intelligent agents and embedded domain expertise to help teams explore, refine, and act on complex PLM and sustainability decisions. Learn more about R&D Workbench.
From Spec Data to Audit-Ready Compliance
EPR and PPWR demand verifiable, SKU-level data. Specright applies AI across the compliance lifecycle, grounded in SpecGraph so every report traces back to the spec.
Collect supplier data fast
AI turns supplier files in any format into structured records.
Catch gaps early
The Data Anomaly & Gaps Agent flags missing or suspicious data before it becomes risk.
Choose better materials
The Packaging Selection Agent weighs cost, performance, and EPR fees before you commit.
Report on demand
Generate EPR reports (with Lorax) and PPWR Declarations of Conformity straight from the spec.
The AI Data Crisis: Why Most AI Projects Fail
Over 80% of AI initiatives fail. Not because the technology isn’t ready—but because the data isn’t. In this executive brief, Specright’s Chief Product Officer Karthik Rajagopal outlines why fragmented product and packaging data is the biggest barrier to trusted AI—and how a spec-first foundation changes everything.
Enterprise AI You Can Trust
Your data. Your rules. Your data is never used to train Specright’s AI models. AI only surfaces records each user can already see, admins control features and privacy through audit-logged settings, and every answer links back to its source record.