Polymr
A Platform for Controllable Execution and Adaptive Interaction
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What is Polymr?
Polymr is an AI-native end-to-end ERP/MRP system designed for small factories and SMEs in the manufacturing industry. It builds a manufacturing ontology and context graph by extracting entities, relationships, and constraints from fragmented unstructured documents including BOMs, routings, POs, PDFs, and spreadsheets, along with tribal knowledge. The platform normalizes this heterogeneous data into a versioned, provenance-aware graph that AI-native reasoning can operate on, often eliminating the need for consultants.
Key features include a manufacturing ontology and normalization layer, a provenance-aware context graph where every fact cites its source document version and lineage, versioned graph snapshots for audit trails and rollback capabilities, and an AI-native reasoning layer that handles uncertainty explains decisions explores counterfactuals and maintains provenance across planning purchasing scheduling and exception handling. The platform enables uncertainty quantification with probabilistic demand forecasting, explainable decisions with supplier selection trade-off reasoning, counterfactual exploration for what-if scenario analysis, anomaly detection and recovery, and regulatory interpretation for tariff classification and export control logic.
Polymr is for small factory operators manufacturing SMEs engineers investors and operators who deal with explosion of unstructured manufacturing data and limits of legacy ERP/MRP systems. The long-term vision is building a standardized manufacturing ontology that connects factories enabling interoperability supply chain coordination and network effects across manufacturing operations.
Polymr pricing
Pricing model: Freemium
The website does not publish public pricing details. Polymr requires direct contact to inquire about pricing free tier paid plans or what is included. The page states 'If this resonates — whether you're an investor engineer or operator — reach out directly' indicating pricing and plan details are available through direct outreach rather than publicly listed.
Polymr pros
- Reduces MRP implementation time from months to days
- Eliminates need for consultants in most cases
- Builds manufacturing ontology from fragmented documents
- Processes BOMs routings POs PDFs and spreadsheets automatically
- Captures tribal knowledge into structured ontology
- Every fact cites source document version and lineage
- Full audit trail of graph mutations maintained
- Versioned snapshots enable rollback and compliance
- Human-in-the-loop corrections with preserved lineage
- Handles uncertainty with probabilistic forecasting
- Explainable supplier selection with trade-off reasoning
- Counterfactual what-if scenario analysis capabilities
- Anomaly detection with substitution risk assessments
- Regulatory interpretation with tariff classification justification
- Works with LLMs graph databases and entity resolution
- Compatible with recent ontology extraction advances
- Real-time analytics for manufacturers
Polymr cons
- No public pricing information available on website
- Target audience limited to small factories and SMEs only
- Requires unstructured manufacturing data to be present
- Long-term vision still under development
- No free tier or trial mentioned publicly
- Contact required to get involved or book demo
- Limited to manufacturing industry use cases
- May require technical expertise for implementation
Frequently asked questions about Polymr
What is Polymr?
Polymr is an AI-native end-to-end ERP/MRP system for small factories that constructs structured ontology and converts fragmented documentation into provenance-rich knowledge graphs of parts routings and vendors. It builds a manufacturing ontology and context graph from fragmented documents including BOMs routings POs PDFs spreadsheets and tribal knowledge.
What documents does Polymr process?
Polymr processes fragmented documents including BOMs (Bill of Materials), routings, POs (Purchase Orders), PDFs, spreadsheets, and tribal knowledge from manufacturing operations.
What is the manufacturing ontology layer?
The manufacturing ontology and normalization layer extracts entities relationships and constraints from unstructured sources. It normalizes heterogeneous data into a versioned provenance-aware graph that AI-native reasoning can operate on.
What is provenance-aware context graph?
A provenance-aware context graph is where every fact cites its source document version and lineage. Every fact in the graph cites its source document extraction timestamp and lineage with full audit trails maintained.
What are versioned graph snapshots used for?
Versioned graph snapshots provide audit trail rollback and what-if scenarios. They enable you to trace any piece of data back to its origin replay historical states and incorporate human-in-the-loop corrections without losing provenance.
What is the AI-native reasoning layer?
The AI-native reasoning layer handles uncertainty explains decisions explores counterfactuals and maintains provenance across planning purchasing scheduling and exception handling. It enables uncertainty quantification explainable decisions counterfactual exploration anomaly detection and regulatory interpretation.
What reasoning capabilities does Polymr enable?
Polymr enables uncertainty quantification with probabilistic demand forecasting confidence intervals and BOM explosions, explainable decisions with supplier selection trade-off reasoning and lead time predictions, counterfactual exploration for what-if scenario analysis and bottleneck identification, anomaly detection and recovery with substitution risk assessments, and regulatory interpretation for tariff classification and export control logic.
Why is Polymr needed now?
Polymr is needed now due to explosion of unstructured manufacturing data including spreadsheets tribal knowledge and legacy systems, limits of legacy ERP/MRP systems with rigid schemas poor interoperability and high implementation cost, and recent advances in ontology extraction where LLMs graph databases and entity resolution now make automated extraction viable.
How does Polymr handle security and auditability?
Polymr maintains security and auditability through source citations back to original documents full audit trail of graph mutations versioned graph snapshots for rollback and compliance and human-in-the-loop corrections with preserved lineage. Every fact cites its source document extraction timestamp and lineage.
How do I get involved with Polymr?
If Polymr resonates with you whether you're an investor engineer or operator you should reach out directly. The website states 'If this resonates — whether you're an investor engineer or operator — reach out directly' indicating direct contact is required to get involved book a demo or learn more.